Data Engineer

Formlabs develops professional 3D printers for designers, engineers, researchers, and artists. The Data Engineer will build and operate scalable data pipelines that transform printer telemetry, manufacturing data, and business system data into trusted datasets, using Python, SQL, Google Cloud, Cloud Run, and BigQuery. The role also involves data modeling, production operations, cost and performance optimization, and collaboration with technical and business stakeholders.

Responsibilities

• 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
• 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
• Deploy and operate services on Cloud Run, instrument them with meaningful monitoring and alerting, and respond when something breaks
• Build well-documented, well-tested data models in BigQuery that analysts and stakeholders can use confidently, with clear lineage and sensible definitions
• Apply partitioning, clustering, incremental processing, and query optimization so that scale stays affordable and dashboards stay fast
• Work with analysts, software engineers, and business stakeholders to turn ambiguous questions into durable datasets and pipelines, rather than one-off extracts
• 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

Preferred

• Experience with streaming and event-driven architectures (Pub/Sub, Kafka, Dataflow, or similar)
• Experience with dbt or a comparable transformation and testing framework
• Experience instrumenting or consuming device, IoT, or hardware telemetry
• Familiarity with orchestration tools (Airflow, Dagster, Cloud Composer, or similar)
• Experience with data quality, observability, or lineage tooling
• Exposure to business systems data — ERP, CRM, or eCommerce (NetSuite, Salesforce, Shopify, or similar)
• Experience with Kubernetes or container orchestration
• Ability 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
• Streaming architectures
• Event-driven architectures
• Kafka
• Dataflow
• Data transformation
• Data testing
• dbt
• Device telemetry
• IoT telemetry
• Hardware telemetry
• Workflow orchestration
• Airflow
• Dagster
• Cloud Composer
• Data quality
• Data observability
• Data lineage
• ERP data
• CRM data
• eCommerce data
• NetSuite
• Salesforce
• Shopify
• Kubernetes
• Container orchestration
• AI coding tools
• Claude Code
• Reusable skill development
• Subagent development
• Plugin development
• Workflow automation

Benefits

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• Low cost fund options in our 401K and access to advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample free on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• Unlimited 3D prints

Company

• Professional SLA and SLS 3D printers and post-processing tools
• Somerville, Massachusetts, USA
• http://www.formlabs.com/
• Founded in 2011
• 501-1000 employees

Qualifications

• 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
• Able to write, debug, and optimize complex SQL from scratch, and comfortable reasoning about query plans, joins, window functions, and aggregation at scale
• Experience with BigQuery or a comparable columnar warehouse (Snowflake, Redshift, Databricks), including the design decisions that keep large tables performant and affordable
• 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
• Experience with high-volume telemetry, event, IoT, or log data, where the size of the dataset materially changes how you design the pipeline
• Fluency with Git/GitHub, CI/CD pipelines, and containerized development and deployment
• Excellent problem-solving, analytical, and communication skills, including the ability to explain data caveats to non-technical partners
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience
• Experience with streaming and event-driven architectures (Pub/Sub, Kafka, Dataflow, or similar)
• Experience with dbt or a comparable transformation and testing framework
• Experience instrumenting or consuming device, IoT, or hardware telemetry
• Familiarity with orchestration tools (Airflow, Dagster, Cloud Composer, or similar)
• Experience with data quality, observability, or lineage tooling
• Exposure to business systems data — ERP, CRM, or eCommerce (NetSuite, Salesforce, Shopify, or similar)
• Experience with Kubernetes or container orchestration
• Ability 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
• 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.

Required skills

• Python, SQL, BigQuery, Google Cloud Platform (GCP), Cloud Run, Pub/Sub, Cloud Storage, IAM, Git/GitHub, CI/CD, Containerized Development and Deployment, Data Pipeline Engineering

Preferred skills

• Experience with Kubernetes or container orchestration

Experience

• 3+ years