This page tracks remote data engineer openings that are location-eligible for New York.
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• Evaluate and improve data quality, completeness, and consistency across 30+ databases, applications, platforms, and APIs. • Design and build Scorpion's analytical data platform, creating a trusted source of truth for business and client data. • Develop and maintain scalable data pipelines that efficiently move data from operational systems into the analytical platform. • Help teams transition from querying production databases directly to using trusted analytical data sources. • Design data access patterns that enable AI agents and applications to quickly retrieve relevant client and business information. • Build secure, scalable solutions that deliver client context and business insights to internal applications and AI-powered experiences. • Define, monitor, and improve service level agreements (SLAs) for data freshness, availability, reliability, and performance. • Partner with engineering, product, and data science teams to establish data standards, governance practices, and data contracts. • Continuously improve the scalability, performance, and reliability of Scorpion's data ecosystem.
• Design, build, and operate ETL/ELT pipelines from operational and SaaS sources • Develop batch and streaming workflows using Python, SQL, and cloud data services • Model data in a warehouse/lakehouse (e.g. Snowflake, Databricks, or BigQuery) • Implement data quality checks, monitoring, and incident response for pipelines • Collaborate with analysts and data scientists on curated marts and metrics • Document pipelines, schemas, and SLAs; support CI/CD for data code • Optimize performance, cost, and security (IAM, encryption, PII handling)
Headquartered in Oakland, California, Marqeta created an open application programming interface (API) to help simplify the way payment programs are managed. The
• The lakehouse and the streaming ingestion that feeds it. • You’d help set the multi-year technical direction, design the golden paths, and ship the work — directly, with your hands on the code that matters. • You’d report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery. • You own technical direction, application architecture, and the engineering bar. • You’ll work alongside other senior staff engineers across the broader data platform org.
Data Engineer - Remote Location: Rochester NY US Job Description: With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software. Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact. We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. Essential Functions: - Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. - Provide operational support and troubleshooting for existing processes and systems. - Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. - Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. - Ensure data extraction, transformation and loading data meet data security & compliance requirements. - Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. - Create data tools for data scientist team members that assist them in building and optimizing models. Requirements - BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. - 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. - 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement - 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. - 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. - 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. - 2+ years with Salesforce FSC and Salesforce Data Cloud. Skills & Competencies: - Strong communication and problem-solving skills. - Troubleshooting expertise. - Proficiency in Python, SQL. - Experience with Extract, Transform, Load (ETL) processes. - Experience building data pipelines. - Experience with Apache Spark and Apache Hadoop. - Experience with Amazon Web Services. Benefits - Health insurance - Paid holidays - Flexible time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range. The salary range is $90,000 - $140,000. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.
Headquartered in Buffalo, New York, M&T Bank is a community-focused bank that provides banking, insurance, investment, and mortgage financial services to more t
Role Description Serves as owner of a large product or set of products by representing the voice of the customer and stakeholders to ensure that the product provides value to the customer, while aligning with the business strategy. The Product Owner II defines their product vision and roadmap, prioritizes the product backlog, anticipates client needs and serves as primary communicator between product stakeholders and teams while evaluating product progress at each iteration. In addition, the Product Owner II plays a key role in the company’s strategic direction, defining and articulating new opportunities, and working in close concert with key stakeholders, including senior leadership and their dedicated agile team. - Build and own the large product or set of products vision and roadmap that aligns with the overall strategic intent and communicate them with the team and all stakeholders. - Prioritize the backlog(s) based on the overall product vision and strategy. - Represent the voice of the customer within the team and convey story details to the team; make autonomous decisions, quickly and thoughtfully, to move delivery forward in alignment with overall product vision and strategy. - Write user stories and groom the backlog in partnership with the team. - Specify acceptance criteria for each user story in support of moving the team to Acceptance Test-Driven Development (ATDD). - Work directly with the delivery team to create appropriate information radiators and other communication tools for internal team and stakeholder use to show progress on a large product or multiple products. - Participate in all team activities and ceremonies. - Use a matrixed influencing approach to work with essential business partners throughout the organization, often at a more senior level and irrespective of hierarchy or divisions, advocating for the benefit of the customer. - Understand and engage with your customers. - Focus on outcomes over outputs, incorporating design thinking methods and analytics to inform product design. - Collaborate across teams and with other Product Owners to align the customer journey and dependent backlogs. - May act on behalf of the Senior Product Owner as required by absence. - Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite. - Identify risk-related issues needing escalation to management. - Promote an environment that supports belonging and reflects the M&T Bank brand. - Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. - Complete other related duties as assigned. Qualifications - Bachelor’s degree and a minimum of 6 years’ business, analytical, technical and/or product experience, or in lieu of a degree, a combined minimum of 10 years’ higher education and/or work experience, including a minimum of 6 years’ business, analytical, technical and/or product experience. Requirements - Prior experience prioritizing across competing priorities and quickly-changing landscape. - Prior experience actively seeking out multiple opinions, yet making independent decisions and influencing positive outcomes. - Understanding of Design Thinking principles. - Knowledge of product design and development best practices. - Knowledge of Agile and Lean principles and practices. - Experience working in partnership with user experience teams on product design. - Experience developing/managing digital capabilities. - Strong verbal and written communication skills. - Specific subject matter expertise as required by assigned product. Benefits - M&T Bank is committed to fair, competitive, and market-informed pay for our employees. - The pay range for this position is $123,600.00 - $206,000.00 Annual (USD). - The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. - The range listed above corresponds to our national pay range for this role. - The specific pay range applicable to you may vary based on your location. Location Clanton, Alabama, United States of America
Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. Founded in 2009, we are smaller, faster, and more senior by design, with teams averaging 15+ years of experience.
Role Description We’re looking for a Staff Data Engineer to join a multi-disciplinary engineering team building modern, enterprise-grade data platforms. This role is ideal for an experienced engineer who can define data strategy, own platform decisions end-to-end, and contribute to technical leadership across the team. In this role, you will: - Design scalable data lakes, warehouses, and pipelines. - Define governance and quality standards. - Drive data platform modernization across real, in-flight work where performance, reliability, and security are critical. - Mentor more junior engineers. - Partner with leadership on data strategy. - Bring an AI-forward mindset. What You’ll Do Craft & Delivery - Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes. - Build and optimize scalable data pipelines supporting batch and real-time processing. - Define and enforce data governance, quality standards, and compliance frameworks across the platform. - Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD workflows for data deployment and automation. - Drive data platform modernization, optimizing for performance, cost, and scalability. - Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace. - Design and implement data contracts and event flows in collaboration with backend, platform, and engineering teams. - Lead the design and implementation of data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows. - Integrate data services with APIs, middleware, and third-party systems to support end-to-end data consumption. Collaboration & Communication - Partner with leadership on data strategy, translating technical depth into decisions others can act on. - Collaborate closely with engineering, analytics, AI, and product teams to align data platforms with broader goals. - Advocate for data quality, governance, and platform best practices across teams and engagements. Leadership & Influence - Establish data engineering standards that lift the quality and consistency of work across the team. - Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact. - Make high-stakes architectural decisions with clear ownership and consideration of long-term tradeoffs. Qualifications - 7+ years of professional data engineering experience, with experience leading complex data platform initiatives. - Strong system architecture background with expertise in distributed data systems. - Expert proficiency in Python, Scala, and SQL. - Deep expertise with cloud-native data platforms and enterprise data warehousing. - Strong expertise in data pipeline orchestration and processing. - Strong experience with streaming platforms and real-time data processing (e.g., Kafka, Kinesis, Pub/Sub). - Strong data modeling expertise and experience with data transformation. - Strong experience with data quality, governance, and compliance frameworks. - Strong experience with container orchestration and CI/CD for data systems. - Strong experience building data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows. - Demonstrated leadership and technical mentoring experience across a team or organization. - Strong stakeholder communication skills, with the ability to translate technical depth across audiences. - Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude and Cursor. - Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment. - Experience with data mesh or data fabric concepts, lakehouse architectures, or governance framework implementation is a plus. Helpful Extras and Unique Skills - Experience with handling and modeling data in the healthcare industry is a plus. - AWS certifications, like Certified Data Engineer – Associate, strongly preferred. Benefits - A doer who sees something broken and fixes it. - A fast learner who embraces the changing AI landscape. - Direct in a way that improves the work. - Obsessed with craft and detail. - Built for ownership and accountability. - All in for clients' businesses. - Resourceful under constraints. - Glad to collaborate with dedicated team members.
Veridix AI is the technology, data, and AI arm of the Emmes Group, a leading full-service contract research organization (CRO) with over 47 years of experience in supporting clinical research across more than 70 countries. With industry-leading capabilities in cell and gene therapy, vaccines, infectious diseases, and ophthalmology, Emmes is one of the top clinical service providers to the U.S. government and is rapidly expanding its presence in biopharma. Veridix AI develops advanced eClinical solutions, powering clinical trials through patient data collection, randomization, biospecimen tracking, and data quality monitoring. Our cutting-edge AI innovations, including Generative AI (GenAI) capabilities, are transforming clinical trial timelines by streamlining processes from document authoring to automating study builds. Our “Character Achieves Results” culture is driven by five key values that guide our actions in the way we conduct research and distinguish us as an organization: Integrity, Agility, Passion for Excellence, Collaborative Partnerships, and Intellectual Curiosity. If you share our motivations and passion in research, come join us!
Role Description The Data Engineer will have a strong background in data engineering and extensive experience with AWS Cloud services. As a Data Engineer, they are responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data analytics and business intelligence initiatives. - Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and store data from various sources. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements, design data models, and deliver solutions that meet business needs. - Automate data workflows and implement monitoring and logging to ensure the health and performance of the data infrastructure. - Conduct data profiling, cleansing, and validation to ensure high data quality standards. - Optimize data storage and retrieval performance, ensuring data quality and integrity. - Implement and manage data architecture on AWS, ensuring scalability, reliability, and security. - Stay up to date with the latest trends and best practices in data engineering and AWS cloud technologies. Qualifications - Bachelor’s or master’s degree in computer science, Information Technology, or a related field. - 3 or more years of related professional experience. - Experience in data engineering with a strong focus on AWS cloud services. - Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Redshift). - Experience with AWS services such as S3, Lambda, Glue, EMR, Kinesis, and Redshift. - Strong programming skills in languages such as Python, Java, or Scala. - Knowledge of data modeling, ETL concepts, and data warehousing. - Familiarity with version control systems (e.g., Git) and CI/CD pipelines. - Excellent problem-solving skills and attention to detail. - Knowledge of machine learning frameworks and data science workflows. - Familiarity with data visualization tools (e.g., QuickSight, Qlik). - Familiarity with NoSQL databases (e.g., DynamoDB, MongoDB). - Strong collaboration skills with cross-functional teams to establish best design and user flows for applications. - Strong multitasking, problem solving, and organizational skills. - Proven ability to work independently and in a team environment. - Satisfactory background check required. Benefits - Flexible Approved Time Off - Tuition Reimbursement - 401k Retirement Plan - Work From Home Anywhere in the US - Maternal/Paternal Leave - Casual Dress Code & Work Environment
• Design and manage scalable data platforms powering real-time analytics, batch processing, and exploratory analysis, using AI-assisted development as the default workflow, not an afterthought. • Own the full data lifecycle: ingestion, ETL, storage, and serving, building and iterating on pipelines with AI pair-programming tools (Claude Code) to accelerate delivery. • Ingest data from diverse sources via both streaming (Kafka, Kinesis) and batch pipelines, unifying them into a consistent, queryable platform. • Architect medallion-layer data models (Bronze/Silver/Gold) in Databricks, ensuring business needs are met with clean, well-documented schemas. • Automate, test, and harden data workflows, writing AI-augmented tests, data quality checks, and CI/CD pipelines that catch issues before production. • Build and maintain AI-ready tooling: craft prompts, custom slash commands, and agent workflows that let the entire team scaffold pipelines, generate documentation, and validate data quality faster. • Build and improve Databricks Genie chatbots that allow non-technical users to query data using natural language. • Collaborate with product analytics and data science, applying engineering rigor to messy, unstructured data and transforming it into reliable, production-ready datasets. • Contribute to infrastructure-as-code (Terraform/Atmos) for provisioning and managing cloud data infrastructure.
Cedar is the AI-powered healthcare financial experience platform, built for the rising cost and complexity of healthcare payments. We help millions of people every year understand and resolve their medical bills with clarity and compassion, while helping healthcare organizations operate more efficiently. We’re combining AI, smart design, and empathy to fix one of healthcare’s most urgent crises.
Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar’s mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. The RoleCedar is at a meaningful inflection point. We're building a new enterprise data foundation to power the next generation of AI-driven products and client-facing analytics while simultaneously expanding our integration footprint to support new product lines and go-to-market motions. The complexity is real, the stakes are high, and the environment is dynamic. Transparently, this role comes with challenges to navigate. These teams sit at the intersection of client delivery, platform evolution, and operational reliability, which means ad-hoc demands land here regularly and the roadmap can evolve mid-flight. You're not walking into a well-oiled machine; you're walking into an opportunity to build one. A big part of this role is establishing the processes, relationships, and stakeholder alignment that reduce that thrash over time, working closely with internal partners and customers to create more predictability for your teams. The right person for this role doesn't just tolerate the current environment. They see it clearly, stay steady within it, and consistently work to improve it. As Sr. Director of Data & Integrations Engineering, you'll report directly to the CTO and head an organization of ~35 engineers across three teams (Data Engineering, Integration Engineering, and Integration Support Engineering) through three experienced engineering managers. You'll also be backed by Principal Engineers who own the deep technical vision and architecture for the org. Your job isn't to be the smartest technical person in the room; your principals have that covered. Your job is to make the whole machine run: deliver with consistency, develop your people, reduce the organizational thrash that slows everyone down, and ensure the operational quality that our clients, partners, and internal teams depend on. Who You'll LeadIntegration Engineering is accountable for bi-directional data integrations between Cedar and healthcare provider EHR systems: Epic, Cerner, Athena, and more. The team services healthcare provider clients, delivers new implementations, enhances live integrations, and is building scalable integration frameworks to reduce go-live timelines and enable an expanding product surface. They are the technical engine behind Cedar's ability to grow. Integration Support Engineering is Cedar's integration reliability team: on-call response, incident management, root cause analysis, and escalation resolution. They own the SLAs that matter most to our clients and are evolving from a reactive response function toward a proactive, systems-thinking discipline, driving down incident volume through better observability, tooling, and upstream framework improvements. Data Engineering builds and evolves Cedar's enterprise data platform: ELT/ETL pipelines, data governance, Medallion architecture, and the real-time data foundations that power Cedar's AI-driven products. The team is mid-transformation, migrating from legacy infrastructure to a modern stack while simultaneously building net-new foundations for a next-generation analytics and intelligence platform that will drive all future product offerings. The stakes are high and the work is consequential. What You'll OwnDelivery predictability. Establish and maintain the processes, rituals, and accountability structures that keep three parallel workstreams (greenfield platform work, client-facing implementations, and live production operations) shipping on time and with high quality. You know how to right-size agile practices for the work at hand. Process pays rent; you believe that. People and manager development. Grow an effective layer of engineering managers and help them build high-performing, engaged teams. This is your primary lever. Your principals own the technical roadmap; your teams' health, growth, and culture live with you. You have a track record of developing first-time and experienced managers alike. Operational excellence. Own the reliability and SLA performance of Cedar's integration systems. Reduce MTTI, MTTR, and systemic incident rates. Build a culture where operational quality (observability, on-call discipline, postmortem rigor) is a first-class engineering value, not an afterthought. Data platform evolution. Partner with the Principal Data Architect to keep Cedar's data platform transition on track: migration from legacy systems, adoption of new architecture across the organization, and ensuring that downstream consumers (product engineering, data science, analytics, and AI/ML) have trusted, accessible data when they need it. Integration scalability. Reduce the time and cost of onboarding new clients and enabling new product lines. Advance the integration frameworks and patterns that let your teams scale their impact without scaling headcount proportionally. Organizational clarity and thrash reduction. Build the structures (intake processes, prioritization frameworks, escalation paths) that protect your teams from the constant pull of ad-hoc requests and shifting priorities. You'll also coach your managers to run their teams with increasing autonomy: to hold a line, uphold a roadmap, and absorb pressure without needing escalation assistance. You'll build an org that operates with discipline even when the environment around it is noisy. Cross-functional partnership. Build effective relationships with Product, Data Science, Commercial, and Delivery Engineering. Represent your teams' capacity and priorities clearly; negotiate trade-offs constructively; keep issues surfaced and resolved before they become crises. You're a peer other leaders want to work with. What You Bring - 12+ years in software engineering or technical implementation, with meaningful time in data-intensive, integration-heavy, or platform domains. - 8+ years in engineering leadership, including 4+ years managing managers, ideally with direct experience overseeing an org of 30+ engineers. - Solid technical grounding in integration systems and data. You engage credibly with principals and managers on architecture trade-offs, operational risk, and build-vs-buy decisions. You don't need to be the deepest expert, but you need to know when to push back and when to trust. - High tolerance for ambiguity, with a demonstrated talent for reducing it. Cedar moves fast and the environment is genuinely noisy. You don't need a clean brief to start moving. You've thrived in orgs where priorities shift, asks are imperfect, and the path forward requires synthesis rather than instruction. You create structure from chaos without waiting for someone else to hand it to you. - Operational instincts. You've owned SLAs, on-call programs, incident management, or client-facing reliability commitments, and you've built the systems and culture to sustain them. - Effective cross-functional stakeholder management, including executive presence. You can translate between engineering realities and business priorities without losing either side. You've navigated trade-off conversations with product, finance, and executive audiences, and you're comfortable representing your teams' work, priorities, and risks clearly in front of C-suite leadership. Preferred - Healthcare domain experience, particularly in revenue cycle management, EHR data models, or healthcare interoperability (HL7/FHIR). The integration complexity at Cedar is significant, and domain context accelerates both credibility and impact. - AI-forward mindset. You believe agentic developer tooling is a genuine force accelerator, not a passing trend, and you set expectations from the front on adoption. You actively model AI-native workflows for your managers and teams, and you create the space and expectation for engineers to integrate these tools into how they build, debug, and ship. You've seen what happens when a team gets this right, and you want to make it happen again. Compensation Range and Benefits - Salary/Hourly Rate Range*: $280,500 - $330,000 - This role is equity eligible - This role offers a competitive benefits and wellness package *Subject to location, experience, and education What do we offer to the ideal candidate? - A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per year - Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you - For exempt employees: Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge - 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work - Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) - Competitive pay, equity (for qualifying roles), and health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month) - Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation - Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally About us Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. "Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 26 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.
Role Description ExeQut is hiring a Senior Data Engineer (Microsoft Fabric & Power BI) to build a new data warehouse end to end. The platform is Microsoft Fabric. The pattern is medallion (Bronze, Silver, Gold) with a Kimball-style dimensional model on top. A normal week looks like this: - Build pipelines from AS/400 (using Qlik Replicate or JT400) and from Azure Database for PostgreSQL (via Fabric Mirroring) into Bronze - Write transformations from Bronze into Silver. Clean, deduplicate, conform - Model the Gold layer. Star schemas, conformed dimensions, slowly changing dimensions where history matters - Build certified Power BI semantic models in Direct Lake mode. Write DAX measures. Set up row-level security - Reconcile the new outputs against legacy reports during parallel run - Eventually, help wire up Power BI Copilot and a first custom AI agent on the same semantic layer Qualifications - At least one year of real production work in Microsoft Fabric - Strong Power BI. Semantic models, DAX, row-level security - Kimball dimensional modeling. Star schemas, conformed dimensions, the SCD types and when to use each - Advanced SQL - Python or PySpark for the transformation work - Comfortable in Azure as the underlying platform - CI/CD for data work. Fabric Deployment Pipelines, Azure DevOps, or GitLab Requirements - Any AS/400 or DB2 for i background - Hands-on with Power BI Copilot, Azure AI Foundry, or any agent development - Microsoft Purview for governance and lineage Benefits - Fluent English communication (written and verbal) - Availability during US East Coast core hours (9 AM - 1 PM EST) from Monday to Friday Role Type - Full-Time Location - Remote (aligned with USA time zones) Working Days - Monday - Friday Hiring Timeline - Immediate
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Python, SQL, ETL, CI/CD, AWS, Airflow
