Senior Data Platform Engineer
- Company
- Astranis
- Location
- San Francisco, United States
- Salary
- 12 083–17 500 $/mo
- Posted
- 2026-10-08
Skills: PostgreSQL, BigQuery, Snowflake, dbt, Airflow, Dagster, Python, ERP, NetSuite, REST API, gRPC, Docker, Kubernetes, GCP
- Deep database expertise in transactional, relational databases (PostgreSQL schema design, OLTP workflows) as well as columnar databases and analytical data warehouses (BigQuery, Snowflake) - 5+ years of professional software/data engineering experience with a focus on data infrastructure, data platforms, or backend engineering - Experience with modern data orchestration and modeling tools (e.g., dbt, Airflow, Prefect, Dagster) - Strong proficiency with Python and solid software design fundamentals - Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent technical experience - Proven experience implementing RBAC, Data Governance, and Schema Evolution/Migration strategies in production environments - U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required - (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3)) - Domain Tools & Integrations: Prior experience building data integrations around hardware, PLM, MES, or ERP platforms (Altium, Arena, First Resonance ION, NetSuite) - Aerospace & Manufacturing: Background working in hardware-centric environments such as aerospace, automotive, robotics, or complex precision manufacturing - APIs & Infrastructure: Experience designing, building, and maintaining robust APIs (RESTful, gRPC) and cloud infrastructure (Docker,…
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