Data Engineer

Join Formlabs as a Data Engineer, where you will build and operate pipelines that transform raw data into trusted, query-ready datasets. You will work with Python and SQL on Google Cloud, primarily using Cloud Run and BigQuery. This hands-on role requires you to own the pipeline from ingestion to modeling and dashboard creation. You will design, develop, and maintain ingestion and transformation pipelines, deploy and operate services, and build well-documented data models. You will also collaborate with analysts, software engineers, and business stakeholders to create durable datasets and pipelines.

• Construire et exploiter des pipelines de données qui transforment les données brutes en ensembles de données fiables et prêts à interroger.
• Contribuer à l'intégration en temps réel des données et à la couche de transformation par lots de BigQuery, en choisissant l'outil approprié pour chaque problème.
• Déployer et exploiter des services sur Cloud Run, les instrumenter avec une surveillance significative et répondre aux problèmes.

• Modern tooling: Fluency with Git/GitHub, CI/CD pipelines, and containerized development and deployment
• Comfort 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
• Cloud data warehousing: Experience with BigQuery or a comparable columnar warehouse (Snowflake, Redshift, Databricks), including the design decisions that keep large tables performant and affordable
• Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience
• A 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
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Excellent problem-solving, analytical, and communication skills, including the ability to explain data caveats to non-technical partners
• GCP 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
• Python-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
• 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
• Exposure to business systems data — ERP, CRM, or eCommerce (NetSuite, Salesforce, Shopify, or similar)
• Experience with Kubernetes or container orchestration
• Experience with streaming and event-driven architectures (Pub/Sub, Kafka, Dataflow, or similar)
• Bonus Points:
• 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
• Experience with dbt or a comparable transformation and testing framework
• Even 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