onsite
Data Engineer with Security Clearance - steampunk
Data Engineer
Seasoned Data Engineer with security clearance, architecting high‑performance data platforms, pipelines, and migrations using Python, SQL, ETL, and cloud services. Strong communicator and problem‑solver, delivering enterprise‑grade solutions for complex data environments.
About the role
Key Responsibilities
- Lead the design and migration of large‑scale data environments, ensuring performance, reliability, and security compliance.
- Architect and optimize ETL pipelines, data workflows, and BI reporting solutions using Python, SQL, and Spark.
- Collaborate with cross‑functional teams to translate business requirements into scalable data models and architecture.
- Implement and maintain cloud‑based data services (AWS/GCP) and data warehousing solutions.
- Provide technical guidance, code reviews, and mentorship to junior engineers and stakeholders.
Requirements
- 5+ years of experience as a Data Engineer in enterprise environments.
- Proficiency in Python, SQL, and ETL tooling (Airflow, dbt, etc.).
- Hands‑on experience with Spark, data warehousing, and cloud platforms (AWS or GCP).
- Strong communication skills and a customer‑focused mindset.
- Valid security clearance or ability to obtain one.
Skills
pythonsqlapache spark