Senior Data Engineer
Somerville · USD 125,000-160,000 / year · 3+ years experience · Full-time · Onsite · Posted Oct 7, 2026
At a glance
- Experience
- 3+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- Somerville
- Salary
- USD 125,000-160,000 / year · Base salary
About the role
- As 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.
- You will work in Python and SQL on Google Cloud across both of the data engineering stacks: Real Time Integrations (RTI) and the BigQuery batch and transformation layer.
Responsibilities
- Design, develop, and maintain ingestion and transformation pipelines in Python and SQL that handle telemetry at very large scale.
- Contribute to the Real Time Integrations (RTI) event-driven stack and the BigQuery batch and modeling stack.
- 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.
- 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.
- Apply modern software practices including version control, code review, automated testing, CI/CD, and infrastructure-as-code to data work.
Requirements
- 3+ years of professional experience building production data pipelines, with strong, hands-on Python.
- A strong SQL foundation to write, debug, and optimize complex SQL from scratch.
- Experience with BigQuery or a comparable columnar warehouse.
- Working knowledge of Google Cloud, ideally including Cloud Run, Pub/Sub, Cloud Storage, and IAM.
- Experience with high-volume telemetry, event, IoT, or log data.
- Fluency with Git/GitHub, CI/CD pipelines, and containerized development and deployment.
- Excellent problem-solving, analytical, and communication skills.
- Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience.
Preferred qualifications
- 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.
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
- Ample free on-site parking & pre-tax commuter benefits
- Healthy on-site lunches, snacks, beverages, & treats
- Regular sponsored professional development opportunities
- Unlimited 3D prints
Workplace
- This role is based in the Somerville, Massachusetts, USA office.
Skills
- Python
- SQL
- Google Cloud
- Cloud Run
- BigQuery
- Git
- GitHub
- Pub/Sub
- Cloud Storage
- IAM
- Dbt
- Airflow
Show all 15 skills
- Dagster
- Kubernetes
- Claude Code
