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Über
Data Pipeline Development & Maintenance: Work across a mixed-maturity pipeline environment Data Modeling: Build and optimize data models that serve a diverse set of consumers. You'll make the data accessible and trustworthy, not just available Simulation Data Integration: Work within the in-house simulation suite to add data-capturing capabilities and ensure simulation outputs feed cleanly into downstream pipelines alongside real-world field data Data Quality & Observability: Instrument pipelines with quality checks, anomaly detection, and alerting so issues surface early Cross-Functional Data Support: Translate ambiguous asks into well-defined requirements, repeatable datasets and lightweight Dashboards that the team can use independently going forward Data Platform Infrastructure Contribution: Improve the features and reliability of our internal data platform over time Documentation: Own the technical documentation for pipelines, data models, and schemas you touch. In a team this cross-functional, good documentation is a force multiplier Requirements:
3+ years of industry experience as a Data Engineer in a startup or fast-moving environment. Strong proficiency in Python and SQL, with hands-on experience building production-grade data solutions. Experience designing and maintaining data pipelines and data models/warehouses that process large, structured scientific or engineering datasets. Hands-on experience building on AWS (e.g., S3, ECS, Lambda, IAM) combined with CI/CD and containerization (e.g., GitHub Actions or CircleCI, Docker) to automate, deploy, and maintain data and ML workloads in the cloud. Practical MLOps experience: setting up and operating MLOps frameworks (e.g., MLFlow, DVC) Benefits:
Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions Retirement savings with company matching Paid parental leave Inclusive family-building benefits Flexible paid time off Company-wide seasonal breaks Support for flexible work arrangements that enable sustainable performance Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs
Sprachkenntnisse
- English
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