Senior Data Engineer

**Core Areas of Responsibility:**

• Design and implement ETL pipelines in Apache Airflow, BigQuery, Python, and Spark.
• Architect and plan projects for highly distributed, high-performance data platform systems.
• Identify improvement areas in existing pipelines and processes, converting business requirements into technical solutions.

**What We're Looking For:**

• Strong SQL and data pipelining orchestration experience (Airflow, Luigi, etc.).
• Expertise in building and optimizing data warehouses on cloud platforms (BigQuery preferred).
• Deep understanding of Big Data technologies (Hadoop, Spark) and CI/CD best practices.

**Compensation & Benefits:**

• Targeted base salary range: $140,000 to $175,000 for specific states.
• Additional perks include competitive salary, stock options, flexible vacation/unlimited PTO, medical, dental, FSA, company-matched 401(k), and paid paternity & maternity leave.
• Agile Development Program for continued learning and professional development.