Remote Jobs Across Engineering, Product, and Data

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23 Jobs

16 Companies

Staff Engineer (Data)

Arbor Education

Arbor MIS helps schools and MATs work more easily and collaboratively. Join a free webinar: http://bit.ly/Arbor-webinars

Data Engineer20 hours ago

Full Time Remote LeadTeam 51-200H1B No Sponsor

Company Site LinkedIn

Role Description As a Staff Engineer you will help drive architecture and technical strategy for our Data domain, spanning the entire journey from transactional source to analytical insight. You will evolve how data is leveraged across Arbor, delivering value that ensures our OLAP and AI capabilities provide a competitive edge and our OLTP foundations are built for scale. It’s a wide impacting and exciting role, crucial for Arbor's next stage of growth. We’re looking for candidates who are highly collaborative, energised by complex problems, and have a proactive approach. You will work collaboratively with multiple teams, Technical Leads, Product Directors, and Engineering Leadership to deliver strategic business objectives, all while reimagining ways of working to ensure we stay at the forefront of the industry’s AI evolution. Core Responsibilities - Define and evangelise target architectures that bridge our transactional, analytical, and AI systems, ensuring our data remains a competitive advantage. - Be a leader for our end-to-end data lifecycle, from OLTP schema design and migrations to OLAP governance, platform and analytics. - Partner with Technical Leads to provide hands-on guidance supporting feature delivery, tech debt paydown, and architecture improvements. - Collaborate with Product Directors to understand product vision and translate this into deliverables, aligning commercial and engineering goals. - Lead our shift to an AI-First way of working, architecting the data foundations to enable AI in our products and championing the latest approaches to help drive productivity gains. - Architect the future infrastructure required for LLM orchestration, Retrieval-Augmented Generation (RAG), and real-time model inference at scale. - Mentor and coach Technical Leads/Senior Engineers on architectural and engineering excellence, continually raising our bar and supporting career growth. - Act as a role model for technical leadership — work with pace, be pragmatic, and stay laser focused on outcomes not output. - Head up architectural reviews for your domain and ensure all designs meet Arbor’s quality, reliability, security and compliance standards. - Collaborate with Staff Engineers and Principal Engineers to shape Arbor’s broader technology strategy, working outside your domain as needed. - Partner with Engineering Management to help grow teams, identify and resolve systemic bottlenecks, ensuring the success of our strategic goals. Qualifications - Extensive experience overseeing data architecture and a track record of delivering iterative outcomes across one or more OLAP domains. - Strong understanding of data modelling techniques (Star, Medallion, etc.) and distributed data systems within cloud-native environments (Snowflake, etc.). - Experience in building and leveraging unstructured data across disparate systems to enable product development. - Examples of communication and influencing across technical and non-technical audiences to achieve positive outcomes. - An ability to support the growth of engineers and technical leads whilst still delivering value across distributed, cross-functional teams. - Demonstrable experience working in an ownership culture where quality, performance, observability, and security are core responsibilities for every engineer. - An understanding and opinion on how AI-first engineering will change the data ecosystem and ways of working, ideally with worked examples. - Examples of contributing to or leading technical communities of practice (e.g. chapters, guilds, architecture councils). - Practical knowledge of DataOps principles, including CI/CD for data and the orchestration of complex pipelines (e.g., AWS, Debezium, Git, Infra as Code). - Good commercial knowledge of data security standards, encryption at rest/transit, and relevant compliance laws. - Platform financial acumen - demonstrable experience of optimising SaaS platform spend, and the use of forecasting models. Bonus Skills - AI/ML Engineering & MLOps, including model deployment/serving and monitoring. - Experience with federated learning and/or privacy-enhancing technologies (PETs). - Direct experience with LLM Ops, including prompt engineering at scale, and token cost optimisation. Benefits - A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! - 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas. - Life Assurance paid out at 3x annual salary. - Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks. - Private Dental Insurance with Bupa. - Salary sacrifice Pension provided by Scottish Widows. - Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay. - 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! - Access to services such as Calm and Bippit (financial wellbeing coaching). - All of our roles champion flexible working and we are happy to discuss what this means to you. - Social committees that plan team, office and company wide events to bring people together and celebrate success. - Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc). - Volunteer with a charity of your choice for a day each year. - Dog friendly offices! Interview Process - Phone screen - 1st stage - 2nd stage

AI AI Agents Snowflake Observability/Monitoring CI/CD AWS Debezium Git AI/ML LLMOps

View details: Staff Engineer (Data)

United Kingdom

£100K - £120K / year

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Data Engineer

Paystack

Engineer5 days ago

Full Time Remote Mid Level

Role Description Data engineering at Paystack focuses on building and extending platforms for managing data at scale. This involves data ingestion, processing, storage and egress. Data engineers are also responsible for creating and maintaining the infrastructure our data platforms run on. Data engineers operate across a diverse tech stack. They are expected to be adaptable and drawn to learning new skills and technologies. The role requires a proactive individual who can work independently and collaboratively within a remote-first environment, has a strong software engineering background with good experience building and maintaining data pipelines, expertise in Python and experience in streaming technologies. Key Responsibilities - Data Pipeline Development: - Design, develop, and maintain robust data pipelines using ETL and ELT methodologies to process and integrate data from various sources into a data lake, a central data warehouse, operational data stores, analytical data marts and various application interfaces. - Streaming Data Processing: - Implement and manage real-time data streaming solutions utilising Kafka, Debezium, Kafka Connect. - Workflow Orchestration: - Build, schedule and maintain custom workflows using Apache Airflow to ensure timely and accurate data processing and delivery. - Database Management: - Work with a variety of database technologies, including relational databases (MySQL, PostgreSQL), NoSQL databases (MongoDB) and analytical/big data systems (Redshift, BigQuery, SingleStore). - Infrastructure as Code: - Employ tools like Terraform, Kubernetes, and Helm to manage and provision infrastructure efficiently. - CI/CD Implementation: - Develop and maintain continuous integration and deployment pipelines to streamline development processes. - Testing and Quality Assurance: - Conduct unit and integration testing to ensure high code quality, data integrity and system reliability. - Collaboration: - Engage with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver solutions. - Documentation: - Maintain clear and comprehensive documentation of data processes, workflows and systems. - Monitoring and Support: - Monitoring system performance and addressing faults and failures in production systems as part of an on-call rotation. Qualifications - Bachelor's degree in Computer Science, Engineering or a related field. - Proficiency in Python is essential. JavaScript and Scala development experience is advantageous. - Minimum of 3 years of experience in data engineering roles, with a focus on building and managing data pipelines. - Minimum of 2 years experience in software and/or application development roles (can be concurrent with data engineering experience). - Hands-on experience with Kafka, Debezium, and Kafka Connect. - Proficiency in a data pipeline orchestration tool or suitable workflow orchestration tool like Apache Airflow (preferred), Databricks, Dagster or Airbyte. - Strong understanding and hands-on experience working with various database technologies, including MySQL, PostgreSQL, MongoDB and Redshift (BigQuery and SingleStore advantageous). - Experience with Terraform, Kubernetes, and Helm for infrastructure management. - Solid knowledge of cloud computing concepts, with experience in AWS services being advantageous. - Ability to write complex SQL queries across different dialects. - Familiarity with unit and integration testing methodologies. - Experience in setting up and maintaining CI/CD pipelines. - Exposure to analytical systems and basic data science tooling. Familiarity with basic machine learning and analytical modelling concepts advantageous. - Exposure to self-service reporting tools like Tableau, Looker and DOMO. Soft Skills - Good verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. - Demonstrated ability to work collaboratively within a team and across departments. - Comfortable working in a fast-paced environment with changing priorities, technologies and tooling. Life-long learners will do well here. - Strong analytical and problem-solving skills. Company Core Values - Transparency: We encourage open sharing of work, seeking feedback and having honest conversations promptly. - Clear Communication: We simplify ideas, communicate directly and confirm understanding to ensure clarity. - Kindness: We value positive vibes, generosity and empathy, both within the team and with customers. - High Standards: We insist on delivering consistent excellence, taking ownership and striving to be domain experts. - Pursue Growth and Learning: We view every situation as a learning opportunity, encouraging experimentation and continuous improvement. - Embrace the Mission: We find joy in our work and recognise the company's broader impact.

View details: Data Engineer

South Africa

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C# Senior Developer

Zillow

Reimagining real estate to make it easier than ever to move from one home to the next.

Software Engineer7 days ago

Full Time Remote SeniorTeam 5,001-10,000Since 2006H1B Sponsor

Company Site LinkedIn

Role Description We are looking for a full-stack developer to join the ShowingTime team and help deliver the capabilities defined in our roadmap. In this role, you will partner with engineers and cross-functional teammates to: - Design, build, test, deploy, and maintain software that supports our products and platform integrations. - Contribute across the stack, from backend services to user-facing experiences. - Help improve the reliability, scalability, and quality of our systems. This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and instead work from a physical location of their choice, which must be identified to the Company. Employees may live anywhere in Mexico, with availability to travel to Mexico City, as we recommend attendance at occasional office events. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location. Qualifications - Strong experience with .NET / C# (building and maintaining production services) - Experience designing and consuming event-driven architectures using Kafka - Modern UI framework experience (JavaScript, TypeScript, Angular) - Hands-on experience with AWS (EKS, ECS, EC2, IAM, networking basics) Requirements - Experience with Debezium or other CDC (Change Data Capture) tools - Experience with infrastructure as code (Terraform, CloudFormation) - CI/CD pipeline experience - Observability (Grafana, Prometheus, Datadog, etc.) - Experience working with NoSQL databases (DynamoDB preferred) - Experience with relational databases (Oracle or similar RDBMS) - Experience building and maintaining containerized applications (Docker + Kubernetes/EKS) Benefits - Competitive base salary - Benefits package - Equity awards based on experience, performance, and location

View details: C# Senior Developer

Mexico

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Senior Data Engineer

Bridgeway Benefit Technologies

Leader in technology solutions for the Taft-Hartley industry.

Data Engineer13 days ago

Full Time Remote SeniorTeam 201-500H1B No Sponsor

Company Site LinkedIn

Role Description Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems. This is a remote position, with preference given to East Coast candidates. - Design, develop, and maintain a scalable lakehouse architecture, including a medallion (bronze/silver/gold) data model optimized for analytics and AI/ML consumption. - Design, implement, and operate ELT pipelines, including workflow orchestration, scheduling, and monitoring, to ensure reliable and scalable execution. - Establish data quality, testing, and observability practices, and proactively monitor and resolve data and automation issues to ensure platform reliability and trust. - Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information. - Optimize performance of data workflows and storage for cost efficiency and speed. - Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards. - Provide technical leadership and mentorship to team members – guiding best practices, skill development, and collaboration cross-functionally. - Enable AI/ML use cases through well-structured data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving. - Develop and maintain data pipelines using version control and CI/CD best practices in a collaborative engineering environment. - Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery. - Serve as a trusted expert on organizational data domains, processes, and best practices. Qualifications - 5+ years of hands-on data engineering experience required. - 3+ years of experience building and operating data pipelines on a modern lakehouse platform (e.g., Databricks – Unity Catalog, Delta Live Tables, Asset Bundles), including data modeling, governance, and CI/CD deployment patterns. - 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required. - Strong communication skills with the ability to collaborate and influence across engineering, analytics, and business stakeholders required. - Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran preferred. - DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus. - Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred.

Data Engineering AI/ML Observability/Monitoring Databricks CI/CD Unity SQL T-SQL Apache Spark Python Apache Kafka Amazon Kinesis Debezium dbt Airflow Terraform Azure DevOps Power BI Looker Tableau GitHub

View details: Senior Data Engineer

EST (UTC-5)

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Staff Data Engineer

Syndio

Syndio builds expert-backed technology that helps companies measure, achieve, and sustain workplace equity.

Data Engineer14 days ago

Full Time Remote LeadTeam 51-200H1B Sponsor

Company Site LinkedIn

Role Description We’re looking for a Staff Data Engineer to define the architecture and long-term evolution of Syndio’s data platform as we scale into AI-driven products. This role owns the technical direction for how data is structured, standardized, modeled, and activated across the company, with a particular focus on enabling LLM-powered systems and decisioning workflows. - Design, architect, and build data pipelines that produce the data products powering analytics, product experiences, and Syndio's LLM-powered systems. - Shape how data is used across the company and enable the development of Syndio's decision graph and AI capabilities. - Solve complex challenges such as: - Multi-tenant schema standardization - Automated field mapping - Retrieval-ready data modeling - Data pipelines for AI evaluation and feedback loops - Operate across pipeline architecture, platform design, and cross-functional data strategy, partnering closely with product, data science, and engineering leadership. Qualifications - Deep experience in data engineering, data platform, or distributed systems roles. - Proven track record designing and scaling data pipelines across teams or organizations. - Experience solving ambiguous, high-impact platform problems and building systems widely adopted across teams. - Strong ability to operate at both architectural and hands-on levels. - Cross-functional leadership and ability to influence technical direction. Requirements - Data modeling and schema design. - Pipeline architecture and orchestration. - Data warehouse and storage systems. - Strong proficiency in Python and SQL. - Experience with data patterns for AI/LLM systems: - Retrieval-ready data modeling - Vector storage - Embedding pipelines - Evaluation datasets - Cloud platforms: GCP (preferred), AWS, or Azure. - Cloud data warehouses: BigQuery, Snowflake, Redshift, or similar. - Data transformation: dbt or equivalent modern transformation frameworks. - Relational databases: Postgres, MySQL, or similar. - Streaming and CDC ingestion patterns (Datastream, Debezium, Kafka, or similar). - Data governance and lineage tooling. Benefits - Competitive Compensation: Base salary targeted at $180-195k CAD. - Syndio Equity: Share in Syndio’s success. - 20 days annually for vacation, plus paid sick & safe time, compassion leave, and voting leave. - Pension Contribution. - Remote-First with opportunities for local meet-ups in Calgary. Role Progression - By the 3rd Month: Working knowledge of Syndio's data domain and existing pipeline architecture; hands-on contributions to the data layer codebase. - By your 6th Month: Technical ownership of the AI data infrastructure; defining architectural direction for data modeling and serving to AI systems. - By 9 months in: Set the long-term technical direction for Syndio's data platform and AI-driven systems; mentor other engineers. The Interview Overview - 30 min - Phone call with a member of our Talent Team. - 45 min - Zoom interview with the Hiring Manager. - Technical Evaluation - Take-home. - 1.5 hrs - Meet the Team. - 30 min - Final Interview.

AI LLM Data Engineering Distributed Systems Python SQL GCP AWS Azure BigQuery Snowflake Amazon Redshift dbt PostgreSQL MySQL Debezium Apache Kafka Engineering/CAD/Embedded Zoom

View details: Staff Data Engineer

Canada

C$180K - C$195K / year

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Senior Software Engineer - Data Infrastructure

Marqeta

You see a card. We see endless possibilities.™

Full-stack Engineer18 days ago

Full Time Remote SeniorTeam 501-1,000Since 2010H1B Sponsor

Company Site LinkedIn

Role Description Marqeta is looking for a talented Senior Software Engineer to independently identify and deliver software solutions on our Data Infrastructure team through a set of milestones spanning a specific platform focus or a multi-component system. You will own and deliver projects in service of quarterly goals on the team and independently identify solutions to solve ambiguous, open-ended problems. You will work in collaboration with your team and cross-functional partners. The Data Infrastructure team, within our Data & ML Platforms organization, is responsible for the data lakehouse, streaming, orchestration, and catalog platforms that power analytics and AI across Marqeta. We're a platform engineering team building infrastructure that other engineering teams depend on. At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process. We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us! The Impact You'll Have - Define and deliver well-scoped milestones for projects, and may be a technical lead for projects on your team. - Lead design for small-to-medium components and participate in design for larger components, moving from task-level impact to small-to-medium project-level impact. - Have significant ownership of a component of the data infrastructure, including its reliability, performance, and developer experience. - Identify gaps and propose plans towards addressing those gaps. - Independently write code that is clear, well-tested, and appropriately flexible, reusable, and adaptable to changing requirements. - Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example. - Participate in on-call coverage. Qualifications - 5+ years of experience as a software engineer with a Bachelor's degree; or 3 years of experience with an advanced degree. In lieu of a degree, 8+ years of relevant experience may suffice. - Strong proficiency in Python in a production context. - Proficiency with SQL. - Experience working with distributed systems. - Production experience with multiple core data technologies, including Apache Kafka, Apache Spark, and Apache Airflow (or close equivalents). - Production experience with modern table formats (Parquet, Hudi, Iceberg, or Delta Lake). - Production experience with AWS or another major cloud. - Experience with infrastructure-as-code (Terraform, CloudFormation, CDK, or equivalent). - Experience monitoring and alerting on production systems. - Ability to decompose business problems into solutions that may require designs with multiple interacting components. - Ability to build correct, maintainable software components. - Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity. - Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing. - A focus on quality and meeting deadlines. Requirements - Ability to decompose business problems into solutions that may require designs with multiple interacting components. - Ability to build correct, maintainable software components. - Ability to work with cross-functional stakeholders to identify technical blindspots and clarify ambiguity. - Ability to present clear and concise messages tailored to various audiences; able to communicate clearly and respectfully both verbally and in writing. - A focus on quality and meeting deadlines. Nice-To-Haves - Experience with payments or the FinTech space. - Experience with Apache Iceberg specifically. - Experience with CDC tooling, particularly Debezium or Kafka Connect. - Experience with data catalog tooling (DataHub or equivalent). - Experience with Java in addition to Python. - Exposure to Kubernetes and container-based workloads. - Experience building scalable software platforms. Compensation and Benefits - Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. - When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD, is: 116,000 - 145,000. - Annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. - Multiple health insurance options. - Flexible vacation time. - Retirement savings program with company contribution. - Equity in a publicly-traded company. - Monthly stipend to support our remote work model. - Annual “development dollars” to support our people growth and development. - Family-forming benefits and up to 20 weeks of Parental Leave.

AI/ML AI Less Python SQL Distributed Systems Apache Kafka Apache Spark Airflow Apache Iceberg AWS Terraform Observability/Monitoring Payments Debezium Java Kubernetes Engineering/CAD/Embedded

View details: Senior Software Engineer - Data Infrastructure

Canada

C$116K - C$145K / year

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Software Engineer / Senior Software Engineer

Applied Systems, Inc.

Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Software Engineer21 days ago

Other Remote SeniorTeam 1,001-5,000

Role Description We're seeking a Software Engineer / Senior Software Engineer interested in transforming the insurance industry. The ideal candidate will have a commitment to delivering results, a passion for quality, and the ability to solve technical problems as we build solutions while simplifying and scaling along the way. At Applied, we’re committed to our work, customers, having fun, and most importantly to each other’s success. Within the Technology Team, you’ll partner with our global team of engineers and product managers designing, architecting, building, and testing impactful products. The Software Engineer / Senior Software Engineer will contribute to our product vision by delivering a high level of quality and technical excellence. Success will require fluency in SaaS-based application development, test automation, analytical skills, and unwavering dedication to software quality. What You’ll Do - Contribute to the design, development, and delivery of releasable, high-quality backend services and APIs primarily using Go (Golang). - Author backend code aligned with internal standards and architectural guidance to ensure maintainability, scalability, and consistency across platform services. - Design, build, and evolve APIs and service integrations that consume and process data from internal and external platforms. - Develop, maintain, and update automated tests for backend services as functionality evolves. - Assess the impact of changes by actively participating in code reviews, design reviews, and technical discussions with engineering and product teams. - Architect and maintain scalable services intended for deployment in Kubernetes environments; ensure services align with cloud-native best practices. - Monitor backend services and API performance in production and non-production environments. - Debug and resolve service-level errors, data issues, and performance bottlenecks. - Continuously learn about new backend tools, platforms, and technologies. As a Senior Software Engineer, you will also: - Support the team by providing detailed feedback during code reviews and guiding complex backend and API-related problem solving. - Contribute to technical decisions by identifying opportunities and risks related to service architecture, data flow, and integrations. - Share knowledge of backend languages, frameworks, API design patterns, data access strategies, testing approaches, and tooling. - Support continuous improvement of internal processes and documentation, championing principles-based approaches to backend design, implementation, and testing. Qualifications - 3+ years of production experience specifically using Go (Golang) to build APIs. - Experience building and consuming RESTful or event-driven APIs and integrating with platform-level data sources. - Strong proficiency with Kubernetes (containerization, orchestration, Helm charts, and service mesh concepts). - Hands-on experience with GCP (Google Cloud Platform), specifically with data-centric services like Pub/Sub and BigQuery. - Knowledge of professional software engineering practices including backend-focused SDLCs, coding standards, code reviews, source control management, build processes, testing, and operations. - Familiarity with Change Data Capture (CDC) frameworks, like Debezium. Requirements - 5+ years of experience in software engineering with a strong emphasis on backend focus. - Experience providing technical guidance and support to other engineers, particularly in backend architecture and integration challenges. - Advanced communication skills, with the ability to distill complex backend, API, and data concepts to support team problem solving. - Proven ability to advance technical discussions, debates, and reviews while contributing to positive and constructive communication across the team. Benefits - Medical, Dental, and Vision Coverage. - Holiday and Vacation Time. - Health & Wellness Days. - A Bonus Day for Your Birthday. Location Candidate will need to reside in North America, working arrangement will be remote.

Go Kubernetes Docker/Containers Helm GCP BigQuery Debezium

View details: Software Engineer / Senior Software Engineer

California + 1 more

$60K - $160K / year

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Senior Software Engineer, Data Ingestion Platform

Block

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all.

Data Engineer27 days ago

Full Time Remote SeniorTeam 10,001+Since 1990H1B Sponsor

Company Site LinkedIn

Role Description The Data Ingestion team is part of Block's AI, Data & Analytics organization and is responsible for building and operating the platforms that replicate and ingest data into Block's Lakehouse, powered by Databricks and Snowflake. The team owns Block's Change Data Capture (CDC) platform, streaming data connectors, and data loading infrastructure — ensuring that fresh, reliable data from production databases, event streams, and third-party sources is available for analytics, machine learning, and AI initiatives across Square, Cash App, and Afterpay. As a Senior Software Engineer on the team, you will: - Design, build, and operate scalable data replication and ingestion pipelines that move data from production databases, event streams, and third-party sources into Block's Lakehouse. - Develop and enhance Kafka Iceberg connectors and data loading frameworks, enabling reliable, low-latency data delivery to Snowflake and Databricks. - Drive the modernization of Block's CDC platform — evaluating and implementing next-generation approaches for database replication, including cloud-native alternatives, and Iceberg-based ingestion patterns. - Build self-service tooling and observability features that empower internal teams to onboard, monitor, and troubleshoot their own data pipelines with minimal support. - Collaborate with data engineering, platform infrastructure, and product teams to define data contracts, improve service encapsulation, and reduce tight coupling between operational databases and analytics consumers. - Contribute to the unification of Block's data ingestion architecture by identifying opportunities to consolidate overlapping systems and reduce infrastructure complexity. - Design and implement solutions for PII detection, masking, and privacy-compliant data handling within ingestion pipelines, ensuring sensitive data is properly classified, protected, and governed in accordance with Block's privacy policies and regulatory requirements (e.g., GDPR, CCPA). - Establish and promote best practices for data pipeline reliability, cost optimization, schema management, and compliance across the ingestion platform. Qualifications - 8+ years of experience in software engineering or data platform development, with a focus on building scalable data systems or distributed infrastructure. - Strong programming proficiency in languages such as Java, Python, Scala, or Go, with experience developing data frameworks, libraries, or services. - Hands-on experience with streaming data systems and technologies such as Apache Kafka, Kafka Connect, or similar distributed messaging platforms. - Solid understanding of Change Data Capture (CDC), database replication patterns, and data lake or Lakehouse architectures. - Experience with modern data storage formats and table formats such as Apache Iceberg or Delta Lake. - Experience with cloud-based data ecosystems (AWS, GCP, or Azure) and infrastructure-as-code tools. Technologies We Use and Teach - Streaming & Messaging: Apache Kafka, Schema Registry, Kafka Connect, Debezium - Data Platform: Databricks, Snowflake - Data Processing & Storage: Apache Spark, Apache Iceberg, Delta Lake, Apache Airflow - Cloud & Infrastructure: AWS, Terraform Benefits - Remote work - Medical insurance - Flexible time off - Retirement savings plans - Modern family planning

AI Databricks Snowflake AI/ML Apache Kafka Apache Iceberg Observability/Monitoring Data Engineering Java Python Scala Apache HTTP Server AWS GCP Azure Debezium Apache Spark Airflow Terraform

View details: Senior Software Engineer, Data Ingestion Platform

California + 1 more

$185.2K - $326.8K / year

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Senior Staff Data Engineer

Nitrogen

The growth platform for wealth management firms. Makers of Riskalyze since 2011.

Data Engineer39 days ago

Full Time Remote LeadTeam 201-500Since 2011H1B No Sponsor

Company Site LinkedIn

WHAT WE DO Nitrogen has been revolutionizing how financial advisors and wealth management firms engage with their clients since the launch of Riskalyze in 2011. Today, Advisors tell us it's a constant challenge to clearly show the value of their advice and keep clients committed to their plan. Our AI-powered suite connects risk alignment, portfolio research, income planning and tax intelligence into persuasive visuals that turn every meeting into a moment of clarity -- so clients trust you, understand you, and stay aligned for the long term. We invented the Risk Number®, built on top of a Nobel Prize-winning academic framework, and are the champions of the Fearless Investing Movement — tens of thousands of financial advisors are committed to our mission of empowering the world to invest fearlessly. Nitrogen is an equal opportunity employer. We encourage people from underrepresented groups to apply. We are committed to being fair and intentional in our hiring decisions by reviewing every application thoroughly. THE TEAM Our Data and Services Team empowers the world to invest fearlessly by leveraging AI tools and deep technical expertise to build robust data pipelines, APIs, and data-powered systems that serve advisors and their firms across the wealth management industry. As a Senior Staff Data Engineer on the Data & Services team, you'll lead the design and evolution of the systems that move, transform, and expose data across our platform. This includes building and scaling ingestion pipelines from external financial partners, developing and maintaining APIs and services that power those integrations, and shaping the data layer that drives internal analytics and product experiences. You'll operate across the full lifecycle of these systems—from ingestion to consumption—ensuring our data infrastructure is resilient, well-modeled, and built for long-term maintainability. Senior Staff Data Engineer: - Advances Nitrogen's data platform and service capabilities with your expertise in building large-scale, modern data and API systems. - Owns the successful delivery of data flows end-to-end: ingesting raw data from external partners, standardizing it in our warehouse, and exposing it through APIs and downstream production systems. - Champions good data governance, industry best practices, and efficient processing techniques. - Delivers high-quality, production-grade features, and reliably meets commitments. - Sets a high bar for technical productivity and efficiency through deep, consistent use of AI and agentic developer tools. - Provides architectural leadership across data pipelines, APIs, and services to ensure scalable designs and high-quality implementations. - Develops a deep understanding of what our domain-specific data means to our customers and their product experience. - Proactively identifies and addresses technical debt and developer experience gaps across data and service layers, advocating for AI-enhanced solutions where appropriate. - Mentors and elevates the technical skills of fellow engineers. - Demonstrates a continuous improvement mindset in both personal development and all technical workflows. - Ensures your technical contributions align with company objectives and expectations.

AI Data Engineering SQL Python Snowflake dbt Airflow Apache Kafka Debezium Amazon S3 RDBMS NoSQL LangChain TypeScript AI/ML

View details: Senior Staff Data Engineer

United States

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Senior Software Engineer, RDI

Redis

Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com . All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

Full-stack Engineer44 days ago

Full Time Remote SeniorTeam 1,001-5,000

Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in? What You’ll Do: Be part of the team behind Redis Data Integration (RDI), which creates a data streaming pipeline that mirrors data from existing relational and non-relational databases to Redis Enterprise. The result: applications can access data at in-memory speeds. RDI integrates legacy databases with Redis Enterprise in near real-time while transforming data at high speed. What will you need to have? - Passion for building, growing, leading, and achieving - Strong coding skills and 8 years full-time Software Engineering work experience with Java, Python, and/or Go - Leading role experience in building Enterprise and customer-facing parts of products - Proven track record in leading the design and implementation of complex and scalable software systems - Strong understanding of relational and non-relational databases - Experience with Linux-based on-premise infrastructure and deployments - Experience with AWS and/or GCP infrastructure, system deployment, monitoring and observability - Strong team player and leader/mentor of less senior colleagues, prioritizing the team goals over individual goals - Accountability, resilience, determination, ownership, and a keen appetite for making a positive difference - Strong familiarity and experience with Kubernetes (K8S). Extra great if you have the following: - Experience with Change-Data-Collection and Debezium - Experience with Docker, Kafka/Kafka Connect - Experience building both on-premise and cloud-based products - Technical lead experience - Experience working with customers and product managers #LI-BL1 #Remote #Canada As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.

Redis Java Python Linux AWS GCP Observability/Monitoring Less Kubernetes Debezium Docker Apache Kafka

View details: Senior Software Engineer, RDI

Canada

C$222K - C$270K / year

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