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Skip to Main Content{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"Department: Systems Location: Somerville, MA\nJoin Formlabs if you want to bring ground-breaking professional 3D printers to the desktop of every designer, engineer, researcher, and artist in the world.\nAs a Senior Data Engineer at Formlabs, you will build and operate the pipelines that turn raw printer telemetry, manufacturing data, and business system data into trusted, query-ready datasets. Our printers generate telemetry at enormous scale, and the models built on top of it drive decisions across product, manufacturing, service, and go-to-market.\nYou will work in Python and SQL on Google Cloud — primarily Cloud Run and BigQuery — and across both of our data engineering stacks: Real Time Integrations (RTI), which moves event data as it happens, and our BigQuery batch and transformation layer. This is a hands-on building role for an engineer who is comfortable owning a pipeline end to end, from ingestion through modeling to the dashboards and services that consume it.\nThis role is based in our Somerville, Massachusetts, USA office and is a full-time position.\nThe Job:\n\nBuild pipelines that scale: Design, develop, and maintain ingestion and transformation pipelines in Python and SQL that handle telemetry at very large scale — datasets measured in the trillions of rows — without sacrificing reliability or cost efficiency.\nWork across both stacks: Contribute to our Real Time Integrations (RTI) event-driven stack and our BigQuery batch and modeling stack, choosing the right tool for each problem rather than forcing everything through one pattern.\nOwn it in production: Deploy and operate services on Cloud Run, instrument them with meaningful monitoring and alerting, and respond when something breaks.\nModel data people trust: Build well-documented, well-tested data models in BigQuery that analysts and stakeholders can use confidently, with clear lineage and sensible definitions.\nEngineer for cost and performance: Apply partitioning, clustering, incremental processing, and query optimization so that scale stays affordable and dashboards stay fast.\nPartner broadly: Work with analysts, software engineers, and business stakeholders to turn ambiguous questions into durable datasets and pipelines, rather than one-off extracts.\nRaise the bar: Apply modern software practices — version control, code review, automated testing, CI/CD, and infrastructure-as-code — to data work, and help improve how the team builds.\n\nYou:\n\nPython-first data engineering: 3+ years of professional experience building production data pipelines, with strong, hands-on Python — this is the core of the role, not a nice-to-have.\nA strong SQL foundation: Able to write, debug, and optimize complex SQL from scratch, and comfortable reasoning about query plans, joins, window functions, and aggregation at scale.\nCloud data warehousing: Experience with BigQuery or a comparable columnar warehouse (Snowflake, Redshift, Databricks), including the design decisions that keep large tables performant and affordable.\nGCP experience: Working knowledge of Google Cloud, ideally including Cloud Run, Pub/Sub, Cloud Storage, and IAM — or a demonstrated ability to pick up a new cloud quickly.\nComfort at scale: Experience with high-volume telemetry, event, IoT, or log data, where the size of the dataset materially changes how you design the pipeline.\nModern tooling: Fluency with Git/GitHub, CI/CD pipelines, and containerized development and deployment.\nExcellent problem-solving, analytical, and communication skills, including the ability to explain data caveats to non-technical partners.\nAbility to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly.\nBachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience.\n\nBonus Points:\n\nExperience with streaming and event-driven architectures (Pub/Sub, Kafka, Dataflow, or similar).\nExperience with dbt or a comparable transformation and testing framework.\nExperience instrumenting or consuming device, IoT, or hardware telemetry.\nFamiliarity with orchestration tools (Airflow, Dagster, Cloud Composer, or similar).\nExperience with data quality, observability, or lineage tooling.\nExposure to business systems data — ERP, CRM, or eCommerce (NetSuite, Salesforce, Shopify, or similar).\nExperience with Kubernetes or container orchestration.\nAbility to effectively leverage AI coding tools — particularly hands-on experience with Claude Code, including building reusable Skills, subagents, or plugins that encode team workflows and make them repeatable.\n\nOur Perks & Benefits:\n\nRobust equity program to build future wealth through RSUs\nComprehensive healthcare coverage (Medical, Dental, Vision)\nLow cost fund options in our 401K and access to advisors\nGenerous paid Parental Leave (up to 16 weeks)\nTenure-based paid Sabbatical Leave (up to 6 weeks)\nFlexible Out of Office Plan – Take time when you need it\nAmple free on-site parking & pre-tax commuter benefits\nHealthy on-site lunches, snacks, beverages, & treats\nRegular sponsored professional development opportunities\nMany opt-in culture events across our diverse community\nAnd of course… unlimited 3D prints\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nEven if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.\n