Remote Jobs Across Engineering, Product, and Data

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Senior Full-Stack Engineer

nue.io

Engineer5 hours ago

Full Time Remote SeniorTeam 51-200

Role Description We are looking for a Senior Front-end Software Engineer to lead the user experience for Nue’s CPQ and Revenue Lifecycle products. You’ll focus on building elegant, high-performance front-end experiences in TypeScript, JavaScript, React, and Node.js, integrating deeply with our Salesforce platform using Apex and related technologies. If you care about craft, usability, and building systems that power complex quote-to-revenue workflows, this role is for you. You’ll love this opportunity if you’re excited by the idea of building elegant, high-performance systems that redefine how modern SaaS companies manage pricing, billing, and revenue. At Nue, you’ll work across a powerful tech stack — from Java and Node.js microservices on AWS to React-based interfaces and Snowflake-powered data pipelines — solving complex challenges in scalability, automation, and financial workflows. You’ll have real ownership, shaping both product and architecture decisions in a fast-moving, collaborative environment where innovation happens daily. This is a chance to join a company on the rise, surrounded by passionate engineers and product thinkers who care deeply about craftsmanship, impact, and continuous learning. Qualifications - 5–8 years of professional software development experience, with a strong focus on front-end engineering. - 3+ years hands-on experience building complex applications with React and TypeScript/JavaScript. - Solid experience with Node.js on the server side (API development, integration, or full-stack). - Test-driven mindset, with hands-on experience writing and maintaining automated tests; familiarity with test automation frameworks such as Mabl or similar tools. - Strong portfolio or examples of past projects and code. - Working knowledge of Java in a microservices or backend context (comfortable reading, debugging, and collaborating on Java-based services). - Strong skills in front-end engineering fundamentals: HTML, CSS, state management, routing, performance optimization, and accessibility. - Demonstrated experience writing and maintaining automated tests (unit, integration, and/or end-to-end) for front-end applications. - Excellent problem-solving skills, ownership mindset, and ability to work in a fast-paced, high-ambiguity environment. - Strong communication and collaboration skills, including experience working with distributed or cross-functional teams. Requirements - Design and build modern, responsive UIs in React and TypeScript for CPQ, subscription lifecycle, and revenue workflows. - Implement reusable UI components, design patterns, and state management that keep complex user journeys simple and performant. - Optimize for usability, accessibility, and performance across dashboards, configurators, approvals, and lifecycle management screens. - Collaborate with Salesforce engineers to integrate React front-ends with Salesforce Platform (APIs, Apex services, Lightning endpoints, data models). - Help shape UI contracts and data models for CPQ (products, bundles, pricing, discounts, approvals, contracts, renewals). - Contribute to or review Apex-backed APIs and flows that power front-end features. - Work with backend engineers on Node.js and Java microservices that drive pricing, rules, and lifecycle automation. - Design and consume REST/GraphQL-style APIs, ensuring robustness, observability, and resilience in production. - Debug issues end-to-end across browser, API, and Salesforce integrations. - Develop a strong understanding of quote-to-cash, subscription management, renewals, and amendments to inform UX and technical decisions. - Partner with product and GTM teams to translate complex business rules into intuitive, guided user experiences. - Own and drive front-end architecture and implementation for CPQ & Lifecycle Manager features from design to production. - Build high-quality React/TypeScript components and front-end applications with strong attention to test coverage, performance, and maintainability. - Collaborate with Salesforce engineers to integrate UI flows with Apex, Salesforce data models, and declarative automation. - Work closely with backend teams to define API contracts, error handling, and edge-case behavior. - Participate in and lead design/architecture reviews, code reviews, and technical discussions across the engineering team. - Instrument and monitor front-end applications for performance, reliability, and usage insights; use data to inform improvements. - Contribute to shared UI libraries, coding standards, and best practices for front-end development across Nue. - Mentor other engineers, sharing best practices in front-end engineering, testing, and system design. - Stay current with modern front-end and Salesforce ecosystem capabilities, proposing improvements to our stack and tooling as appropriate. Benefits - Experience with enterprise systems and large-scale integration projects. - Demonstrated ability to effectively use AI-assisted development tools (e.g., Claude Code, Codex, or similar) to accelerate development, improve code quality, debug complex issues, and explore system designs. - Strong attention to detail, ownership mindset, and comfort operating in ambiguous, fast-moving environments. - Excellent problem-solving skills and the ability to troubleshoot complex integration issues. - Experience with AWS, Google Cloud or Microsoft Azure. - Experience integrating front-end applications with Salesforce Platform (e.g., Apex services, REST APIs, or Lightning endpoints); or strong willingness and ability to ramp quickly on Salesforce.

TypeScript JavaScript React Node.js Salesforce Java Microservices AWS Snowflake HTML CSS Performance Optimization GraphQL Observability/Monitoring Google Tag Manager AI GCP Azure REST API

View details: Senior Full-Stack Engineer

Canada

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Graduate Sales Engineer

Soda Data

Sales Engineer8 hours ago

Full Time Remote Mid Level

Role Description Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call. Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data. We're hiring a remote Graduate Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team. This is one of the best ways to kick-start a technical sales career - selling infrastructure to the most technical buyers in the market while learning the full sales cycle from people who've built and sold to enterprises before. Who this is for: - Top technical graduates who want to be customer-facing. - You're not looking for a coding job, you're looking for the role where engineering meets the customer. - You like building things, but you like shipping and closing more. We'll teach you how to: - Run demos, scope PoCs, handle technical objections, and support customers post-sale. You bring: - Communication skills, technical horsepower, and builder mentality. What you'll do: - Run demos and scope PoCs alongside our AEs, from first technical call through to closed-won. - Translate customer problems into Soda solutions, and translate Soda's capabilities into the customer's language. - Build custom demos, sample pipelines, and PoC environments that show real value. - Own product, technical, and security responses on RFPs and RFIs. - Support customers through evaluation, purchasing, and implementation. - Be the technical voice in the room - with Data Engineers, Heads of Data Platform, and Chief Data Officers. - Travel occasionally to customer sites, team offsites, and conferences. - Wear many hats - it's a startup, you'll touch every stage of the sales cycle. Qualifications - Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics, Engineering, or similar. - Fluent in Python - you can read, write, and debug it without help. - Strong customer communication - clear, calm, and honest under pressure. - Builder mentality, process-oriented - you want to optimize and streamline boring processes. - High horsepower and ruthless prioritization - you context-switch well, manage multiple projects with expansive ownership, and don't drop balls. - Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing. - Based in the US. Requirements - Top university degree. - Hands-on experience with AI or data products (school projects, internships, side projects all count). - Familiarity with data engineering, governance, quality, or observability concepts. - Experience at a B2B SaaS startup (internships count). - Experience building or presenting custom demos. - Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, or similar. - Experience working remotely in a high-growth environment. Benefits - Base salary: $80,000-$100,000. - Equity. - Location: Remote (US-based). - Unlimited PTO. - 401k. - Medical insurance. Hiring Process - 1-minute intro video - What is the most impressive thing you've built or achieved? This tests your communication, not your achievements. - Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer. - Technical interview. - Culture fit with the CRO and Director of Customer Engineering.

AI Google Tag Manager Python Data Engineering Observability/Monitoring Snowflake Databricks BigQuery dbt Airflow

View details: Graduate Sales Engineer

United States

$80K - $100K / year

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Data Architect

Weekday (YC W21)

We are a Y-Combinator-backed startup building your AI-powered Recruiter Agent

Architect13 hours ago

Full Time Remote Mid LevelTeam 11-50Since 2021H1B No Sponsor

Company Site LinkedIn

Role Description We are looking for an experienced Data Architect with a strong background in the Retail domain to join our growing data engineering team. The ideal candidate will act as a trusted extension of our internal technical team, taking ownership of multiple concurrent projects while collaborating closely with business and IT stakeholders. This is a hands-on technical leadership role requiring expertise in modern data platforms, strong analytical skills, and the ability to drive project execution from requirements through delivery. - Collaborate closely with internal technical teams to deliver multiple data initiatives simultaneously. - Design, develop, and optimize scalable data solutions using Python, Snowflake, and SQL. - Review and maintain high-quality code developed by offshore engineering teams. - Lead technical discussions and translate business requirements into scalable technical solutions. - Work directly with Business and IT stakeholders to gather, refine, and validate requirements. - Build data solutions independently whenever rapid execution is required. - Monitor project progress, identify risks proactively, and communicate updates to leadership. - Ensure project deliverables meet quality, performance, and timeline expectations. - Provide technical guidance and mentor team members to achieve successful project outcomes. Qualifications - 10–15 years of experience in Data Engineering, Data Architecture, or Data Analytics. - Strong hands-on experience with Python. - Strong expertise in Snowflake. - Advanced SQL skills with experience writing and optimizing complex queries. - Working knowledge of Looker. - Experience designing scalable data pipelines and data warehouse solutions. - Strong analytical and problem-solving abilities. Requirements - Prior experience in the Retail domain. - Experience translating business needs into technical solutions. - Experience leading technical teams and reviewing code. - Exposure to cloud-based data platforms and modern analytics ecosystems. - Strong stakeholder management and communication skills. Soft Skills - Excellent leadership and ownership mindset. - Strong communication and presentation skills. - Ability to work independently with minimal supervision. - Proactive risk identification and issue resolution. - Ability to collaborate effectively with cross-functional and global teams. Must-have skills - Python - Snowflake - SQL Good-to-have skills - Looker - Data warehousing - Data pipeline

Data Engineering Python Snowflake SQL Data Analytics Looker

View details: Data Architect

EST (UTC-5)

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Senior Data Engineer

Dentsu International

Headquartered in London, England, United Kingdom, Dentsu International is a marketing services group focused on the digital economy. The group is made up of nin

Data Engineer14 hours ago

Full Time Hybrid Senior

Company Site

Title: Sr. Data Engineer Location: United States time type Full time job requisition id R1124466 Job Description: We’re looking for an Identity Data Engineer who is passionate about data quality, intellectually curious about how real-world identities get resolved, and ready to get deep into the details. You'll work directly with PII-class data at a low level — examining records, interrogating match logic, and developing a genuine understanding of why our matching engines make the decisions they do. Our matching engines link consumer and household identity signals across diverse data sources, combining deterministic logic with increasingly AI-assisted probabilistic resolution. You'll help enhance these engines — improving match rates, reducing false positives, and extending asset coverage. As our AI-augmented matching capabilities grow, so will this role. There is a real long-term track here for an engineer who wants to go deep on identity. What You'll Do Identity Data Engineering - Design, build, and maintain Snowflake-based pipelines that produce and refresh our core consumer and household identity assets on a regular cadence. - Write complex SQL and Python to transform, deduplicate, and enrich identity data at scale — including direct work with PII fields such as names, addresses, emails, and phone numbers. - Investigate data anomalies and quality issues at a record level, tracing match decisions back to source signals and surfacing root causes. - Build and maintain data models that represent consumer and household identity linkage across multiple input sources. Matching Engine Enhancement - Partner with senior engineers and data scientists to enhance our AI-assisted matching engine — contributing to feature design, scoring logic, model evaluation, and threshold tuning. - Implement and test matching algorithm improvements — both AI-driven and rule-based — and measure their real impact on precision, recall, and overall asset quality. - Build evaluation tooling: ground-truth comparisons, match quality dashboards, and regression detection across engine versions. - Help drive the evolution of our matching pipeline toward more intelligent, AI-augmented identity resolution, actively using AI tools as part of your day-to-day engineering workflow. Collaboration & Delivery - Work cross-functionally with Data Science, Product, and downstream engineering teams to translate identity requirements into reliable, scalable solutions. - Participate in code reviews and architectural discussions; apply engineering best practices across the full delivery lifecycle — design, implement, test, and deploy via CI/CD. - Document data models, pipeline logic, and algorithm decisions clearly for both technical and non-technical audiences. - Support QA processes and on-call responsibilities for production identity asset pipelines. - Build automated validation frameworks and quality tracking pipelines that continuously monitor asset health — including data completeness, match consistency, and anomaly detection — and surface results through clear, actionable reporting. What You Bring Required - 4+ years of data engineering or software engineering experience, with a focus on data-intensive systems. - Strong Python skills — you write clean, well-structured code and are comfortable building data processing logic from scratch. - Deep Snowflake fluency: data modeling, complex querying, Streams and Tasks, performance tuning, and preferably Snowpark for Python-native workloads. - Strong SQL fundamentals and comfort working with large, messy, real-world datasets — you know how to interrogate data and know when not to trust it. - Some experience or genuine curiosity around identity matching, deduplication, record linkage, or data quality at scale. - Comfort working with PII-class data responsibly, with awareness of data governance and privacy best practices. - Familiarity with version control (Git), Agile delivery, and CI/CD pipelines. - Comfort applying AI tools in day-to-day engineering work — including prompt engineering, LLM-assisted data processing, and AI-augmented pipeline logic. Nice to Have - Hands-on exposure to matching algorithms — deterministic, probabilistic, or ML/AI-based — and experience evaluating or tuning their performance. - Experience building agentic workflows and working with MCP servers - Some Java experience; comfort with JVM-based tooling is a plus. - Familiarity with consumer or household identity signals: name, address, email, phone, and cross-source linkage. - Cloud experience, preferably AWS; Azure or GCP welcome. - Unix/Bash comfort for scripting and day-to-day environment work. At dentsu, we believe great work happens when we’re connected. Our hybrid way of working combines remote flexibility with regular in-person collaboration to spark ideas and strengthen our teams. Many of our employees who live within commuting distance (90 minutes) from one of our Headquarter or Hub Offices (New York, Chicago, Detroit, Los Angeles) are required to work in the office 2-3 days per week including one Team Day. The minimum number of days may vary by office and role. Dentsu may designate other HQ or Hub offices at any time. Those who do not live near an office may be designated as a remote employee, depending on the role and business needs. Regardless of your work location, we expect you to be flexible to meet the needs of our Company and clients, which may include attendance in an office from time to time. The annual salary range for this position is $94,000 - $152,662. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: - Medical, vision, and dental insurance, - Life insurance, - Short-term and long-term disability insurance, - 401k, - Flexible paid time off, - At least 15 paid holidays per year, - Paid sick and safe leave, and - Paid parental leave. Location: USA - Remote - Maryland Brand: Merkle Time Type: Full time Contract Type: Permanent

AI Data Engineering Snowflake SQL Python CI/CD Git LLM AI/ML Java JVM AWS Azure GCP Unix Shell Apache Spark

View details: Senior Data Engineer

Maryland

$94K - $152.7K / year

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Data Engineer

BrightClaim

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way.

Data Engineer21 hours ago

Full Time Remote Mid Level

Role Description Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Job Responsibilities: - Develop and implement data ingestion processes - Design and optimize data storage and retrieval solutions - Build and maintain ETL processes to transform and load data into data lake/warehouse - Collaborate with data scientists and analysts to understand data requirements and deliver relevant datasets - Troubleshoot and resolve data-related issues - Ensure data quality and integrity in the data pipelines - Research and evaluate new data technologies and tools for continuous improvement Qualifications - Bachelors - Business Analytics - Bachelors - Computer Science - Bachelors - Statistics - Masters - Data Science - Certified Data Management Professional - Riversand - Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy - Databricks Certified Associate Developer for Apache Spark - Databricks Academy - Microsoft Certified: Azure Data Engineer Associate - Microsoft - Oracle Database 12c Certified Implementation Specialist - Oracle Requirements - Agile Methodology - Banking Capital Markets - Cloud Computing - Collaboration Tools - Commercial Sales - Consumer Packaged Goods (CPG) - Data Engineering - Data Literacy - Design Thinking - Electronic Hardware - Executive Presence - Inclusion - Manufacturing Equipment - Personal Effectiveness - Semiconductors - Snowflake (Platform) - Sourcing and Procurement - Storytelling Benefits - Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter - Make an impact – Help global enterprises solve business challenges that matter - Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead - Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day - Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

AI ETL Databricks Apache Spark Azure Oracle Database Data Engineering Snowflake

View details: Data Engineer

India

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Back-End Engineer

Congrify Payments Intelligence (an Ixopay Company)

Congrify Payments intelligence (an Ixopay Company) focuses on payments observability and intelligence as part of Ixopay, a payments orchestration, tokenization and intelligence provider. Our no-code platform consolidates data from various payment sources, providing businesses with the tools to effectively reconcile, monitor, and analyze their payment data.

QA Engineer1 day ago

Full Time Remote Mid Level

Role Description We're looking for a Back-End Engineer to help build the next generation of Congrify & IXOPAY's AI Payments Intelligence platform. In this role, you'll design and develop the backend services and data infrastructure that power AI-driven insights, analytics, and payment optimization. Working closely with Product, Data Science, and Engineering teams, you'll build scalable systems that help enterprise merchants improve payment performance, reduce costs, and make smarter decisions using their payment data. This is a hands-on engineering role with significant ownership and the opportunity to influence both technical architecture and product direction. - Design, build, and maintain scalable backend services for our AI Payments Intelligence platform. - Develop data pipelines, ETL processes, and cloud-native infrastructure that process large volumes of payment transaction data. - Build the backend services that power analytics, dashboards, AI-driven insights, and customer-facing reporting. - Collaborate with enterprise customers to integrate payment data from PSPs, acquirers, and other external systems. - Develop secure, reliable APIs and integration services for payment gateways, reporting APIs, webhooks, and other data sources. - Optimize backend systems for performance, scalability, security, and high availability. - Partner with Product, Data Science, and Engineering teams to design new platform capabilities and contribute to architectural decisions. - Stay current with emerging technologies and contribute to engineering best practices across the platform. Qualifications - 3+ years of experience in backend software engineering, data engineering, or database development. - Strong Python development experience building scalable backend applications and data processing systems. - Hands-on experience with AWS services, including S3, Lambda, DynamoDB, Cognito, SQS, and related cloud technologies. - Experience designing and maintaining data pipelines and cloud-native architectures. - Strong problem-solving skills and the ability to work independently in a collaborative, agile environment. - Excellent communication skills and attention to detail. Benefits - Experience with payment data analytics, payment gateways, PSP integrations, or FinTech platforms. - Experience with analytical databases such as ClickHouse or Snowflake. - Experience building AI or machine learning infrastructure and supporting analytics platforms. - Previous experience working in a startup or high-growth technology company. - This is a remote-friendly position. We welcome applications from candidates based in Germany or Italy. You'll have the flexibility to work remotely and visit our Munich office a few times during the year. Company Description Congrify Payments intelligence (an Ixopay Company) focuses on payments observability and intelligence as part of Ixopay, a payments orchestration, tokenization and intelligence provider. Our no-code platform consolidates data from various payment sources, providing businesses with the tools to effectively reconcile, monitor, and analyze their payment data.

AI Payments ETL Webhooks Data Engineering Python AWS Amazon S3 Amazon Lambda DynamoDB Amazon Cognito Amazon SQS Data Analytics Snowflake AI/ML Observability/Monitoring

View details: Back-End Engineer

Germany + 1 more

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Data Analyst

Tavily

We’re building the search engine for AI agents. Our API is designed from the ground up to power RAG and real-time reasoning in AI systems. By connecting LLMs to high quality, trustworthy web content, we help developers build agents that are not only intelligent, but also informed. We work with some of the most innovative teams in AI, from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range: $150,000 — $187,500 USD

Data Analyst1 day ago

Full Time Remote Mid Level

Role Description We're looking for a Data Analyst to partner closely with our Customer Success and GTM teams and turn data into decisions. You'll own the metrics that matter — acquisition, activation, retention, product usage, expansion, and revenue — and uncover the drivers behind them. You'll build the analyses that shape strategy, identify what influences customer success and growth, and help answer the critical questions: what's working, what isn't, and why. This is a high-ownership, hands-on role for someone who loves digging into data, writes their own code, and ships analysis that changes what the business does next. What You'll Do - Own GTM analytics end-to-end: define, instrument, and report on the funnel — from signup and activation through conversion, expansion, and churn. - Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders. - Partner with other teams like Sales, Marketing and Product to scope questions, run analyses, and translate findings into clear recommendations. - Dig into product usage and revenue data to surface insights on user behavior, cohorts, and monetization. - Write production-quality SQL and Python to model data, automate pipelines, and run analyses at scale. - Design and evaluate experiments (A/B tests) and measure the impact of GTM initiatives. - Define metrics and a shared source of truth; bring rigor and clarity to how we measure success. Qualifications - 5+ years of experience as a Data Analyst (or equivalent). - 2+ years working in a SaaS company. - Hands-on experience as a CS / Sales / Marketing / Business / Product analyst — you understand funnels, cohorts, conversion, retention, and the metrics that drive a SaaS business. - Strong hands-on experience using Python for data analysis, experimentation, and data modeling in a production environment. - Strong SQL and comfort working with large, messy datasets. - Strong communication: you can turn analysis into a clear, compelling story for non-technical stakeholders. - Statistical foundation for experimentation and causal inference. - BSc in Statistics/Math/CS or equivalent. - Familiarity with modern data tooling (Snowflake/BigQuery, dbt, Airflow, BI tools like Omni/Looker/Tableau). - Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders. Requirements - A track record of building your own projects - a GitHub profile, portfolio, side projects, or other evidence that you build things independently. - Experience at an API-first, developer-focused, or PLG (product-led growth) company. - Experience with product analytics platforms (PostHog, Amplitude, Mixpanel). - Exposure to ML or working alongside data science teams. - MSc in Statistic/Math/CS or equivalent. Benefits - Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. - 401(k) plan: Up to 4% company match with immediate vesting. - Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. - Remote work reimbursement: Up to $85/month for mobile and internet. - Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range: $109,500 — $136,800 USD

Google Tag Manager SQL Python Snowflake BigQuery dbt Airflow Looker Tableau GitHub PostHog Mixpanel AI/ML

View details: Data Analyst

United States

$109.5K - $136.8K / year

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Senior Data Engineer

PetroApp

Monitor your fuel, save your money

Data Engineer1 day ago

Full Time Remote SeniorTeam 51-200H1B No Sponsor

Company Site LinkedIn

Role Description - Data platform engineering: Design and maintain scalable batch and near-real-time data pipelines across mobile applications, NFC/fuel transactions, station integrations, ERP integrations, payments, support systems, and operational databases. - Data modeling: Create clean, reusable data models for core entities such as customers, vehicles, drivers, stations, transactions, wallets, limits, invoices, products, maintenance services, and geographic coverage. - Reliability and quality: Implement data validation, lineage, observability, alerting, reconciliation, and automated quality checks to ensure business-critical dashboards and reports are accurate and timely. - Analytics enablement: Partner with analytics, product, finance, operations, and customer success teams to deliver self-service datasets, metrics layers, and well-documented data marts. - Performance and cost optimization: Tune queries, storage layouts, orchestration schedules, and cloud resources to improve platform performance and manage infrastructure cost. - Data governance and security: Apply data access controls, PII handling, retention practices, auditability, and compliance-aware engineering patterns across the data lifecycle. - Integration engineering: Build robust ingestion patterns for APIs, webhooks, CDC, files, event streams, third-party integrations, and partner station data feeds. - DevOps for data: Use CI/CD, version control, automated testing, infrastructure-as-code, and deployment standards for data pipelines and transformations. - Incident management: Troubleshoot data incidents, conduct root-cause analysis, reduce recurring failures, and communicate impact clearly to stakeholders. - Technical mentorship: Review designs and code, establish engineering standards, mentor junior team members, and raise the quality bar for data engineering at PetroApp. Qualifications - 5+ years of professional experience in data engineering, analytics engineering, platform engineering, or backend engineering with strong data ownership. - Advanced SQL skills, including query optimization, data modeling, window functions, incremental transformations, and large-table performance tuning. - Strong Python programming experience for data pipelines, automation, testing, and production-grade data workflows. - Hands-on experience with workflow orchestration such as Airflow, Dagster, Prefect, or similar tools. - Experience with modern data warehouses or lakehouse platforms such as BigQuery, Snowflake, Redshift, Databricks, Delta Lake, Iceberg, or equivalent. - Experience building reliable ELT/ETL pipelines using tools such as dbt, Spark, Kafka, Flink, Fivetran, Stitch, custom API ingestion, or CDC frameworks. - Practical understanding of data quality, schema evolution, monitoring, alerting, backfills, idempotency, and failure recovery. - Experience designing dimensional, wide-table, and event-based data models for BI, analytics, and operational reporting. - Comfort working with cloud platforms such as AWS, GCP, or Azure, plus Git-based engineering workflows. - Strong communication skills with the ability to translate business requirements into clear technical designs and delivery plans. Requirements - Experience in fintech, payments, fleet management, logistics, mobility, marketplace, fuel, or high-volume transaction platforms. - Knowledge of event-driven architectures, streaming data, CDC, API integrations, data contracts, and data mesh or domain-oriented data ownership. - Experience supporting BI tools such as Power BI, Looker, Tableau, Metabase, Superset, or similar platforms. - Familiarity with MLOps or feature engineering for fraud detection, anomaly detection, forecasting, customer segmentation, or optimization use cases. - Experience with data privacy, access control, encryption, secrets management, and compliance expectations in the Middle East or multi-country operations. Core Technical Stack Expectations - Languages: SQL, Python; optional Scala or Java for distributed processing. - Transformation and modeling: dbt or equivalent; dimensional modeling; metrics layers. - Orchestration: Airflow, Dagster, Prefect, or similar. - Storage and compute: cloud warehouse, data lake/lakehouse, object storage, distributed processing. - Streaming and integration: Kafka or equivalent, CDC, APIs, webhooks, files, partner data feeds. - Engineering practices: Git, CI/CD, automated tests, Docker, Kubernetes or containerized deployment, Terraform or infrastructure-as-code. - Observability: data quality checks, lineage, pipeline monitoring, logs, alerts, runbooks, and service-level objectives for data products. Benefits - Competitive salary and benefits package. - Opportunity to work on cutting-edge technology with a passionate team. - Career growth and development opportunities. - A collaborative and inclusive work environment.

View details: Senior Data Engineer

Egypt

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Finance Engineer

Fuelfinance

Data Engineer1 day ago

Full Time Remote Mid LevelTeam 11-50

Role Description We're looking for a Finance Engineer — someone who can turn manual finance and accounting processes into scalable, automated, AI-supported workflows. This role sits at the intersection of Finance, Accounting, Systems, Automation, and AI. - Build and improve workflows for reporting, forecasting, month-end review, reconciliations, and financial controls. - Work directly with clients: understand their finance and accounting needs, configure tools, support vendor onboarding, and own system improvements end-to-end. - Translate finance and accounting needs into system logic, automations, workflows, and documentation. - Automate repetitive finance work using AI tools, low-code tools, integrations, and internal workflows. - Connect and structure data from accounting systems, CRMs, payment tools, spreadsheets, BI tools, and data warehouses. - Build checks, controls, and validation logic to improve accuracy and reduce manual errors. - Partner with our engineering team on APIs, integrations, data pipelines, and workflow orchestration. Qualifications - 5+ years of experience in finance systems, finance operations, automation, or engineering roles within complex multi-stakeholder or enterprise environments. - 1+ year of hands-on experience building AI-powered automations, agents, prompts, workflows, or internal tools (Claude / Claude Code, Cursor, Copilot, custom LLM builds, or similar). - Experience with APIs, system integrations, data warehouses, and automation tools. - Strong understanding of finance and accounting processes: month-end close, reconciliations, AP / procure-to-pay, revenue, reporting, and corporate finance. - Ability to understand how financial data flows between departments and systems. - Fluent English (C1+) and excellent client-facing communication skills — you'll work directly with customers' founders and finance teams. - Strong drive to eliminate repetitive manual work. - Proactivity and high level of responsibility. - Ability to work in a fast-paced environment. Requirements - Python or other scripting experience. - Experience administering financial, accounting, billing, or ERP systems. - Experience with tools like NetSuite, QuickBooks, Xero, Stripe, Salesforce, HubSpot, Zuora, BigQuery, Snowflake, PostgreSQL, Looker, Power BI, Tableau, Zapier, Make, n8n, or Workato. - Proven impact in numbers: hours saved, manual work reduced, faster reporting, or fewer errors. - Experience working with US-based clients or startups. Recruitment Process - Soft skills interview with the recruiter. - Hard skills interview with the Head of FP&A. - Test task. - Culture fit interview with the VP of Operations. Benefits - Build the future of finance work — design AI-native finance operations, not just maintain them. - Rapid skills improvement (you'll work with multiple client businesses with different models and challenges). - Growth opportunities according to our seniority grading (it comes with a compensation increase). - Flexible schedule and time-off policy. - 18 days of paid vacation per year, paid sick leaves.

AI LLM Python ERP NetSuite Xero Stripe Salesforce HubSpot BigQuery Snowflake PostgreSQL Looker Power BI Tableau Workato

View details: Finance Engineer

Ukraine

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Software Engineer, Data Infrastructure

The Voleon Group

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

Full-stack Engineer1 day ago

Full Time Remote Mid LevelTeam 201-500

Role Description As a Software Engineer on our Data Infrastructure team, you will contribute to scaling and advancing our entire data infrastructure. This includes: - Building data-related infrastructure and tooling. - Collaborating closely with various teams to facilitate and improve their usage of data. - Working with the team lead to design, scope, and deliver large scale projects. - Collaborating with a diverse group of engineers to impact the team's productivity and successful delivery. - Defining the team's technical roadmap towards achieving strategic-level engineering goals. - Participating in mentorship and development of other engineers on the team. - Shaping our company's engineering culture. We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Qualifications - Computer Science / Engineering bachelor’s degree (or equivalent). - 3+ years of relevant software engineering experience. - Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale. - Experience working with large codebases and building modular, extensible, and maintainable software. - Expertise in a modern programming language, such as Python, Go, Java or C++. - Hands-on experience developing in a Linux/UNIX environment. - Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure. - Strong communication skills and a knack for explaining complex ideas with clarity and simplicity. Requirements - Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker). - Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena). - Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm). - Experience building data platforms with a developer experience lens — designing APIs, access patterns, or tooling that abstracts infrastructure complexity from end users. Benefits - Highly competitive compensation and benefits packages. - Technology talks by our experts. - A beautiful modern office. - Daily catered lunches. - Enriching and collegial working environment. Company Description Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

Python Java C++Linux Unix Docker/Containers Kubernetes Docker Apache Iceberg BigQuery Snowflake DynamoDB Trino Amazon Athena Airflow AI AI/ML

View details: Software Engineer, Data Infrastructure

United States

$235K - $300K / year

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