Senior Data Engineer

Alembic is revolutionizing marketing analytics by developing sophisticated AI-powered solutions that accurately measure marketing ROI for Fortune 500 companies. As a Senior Data Engineer, you'll be integral to their data platform, working on scalable data pipelines and storage solutions that power both real-time and batch analytics. The role requires expertise in Python, SQL, and modern data technologies, with responsibilities spanning ETL pipeline development, data architecture design, and collaboration with cross-functional teams.

The position offers a competitive compensation package ranging from $218K to $240K, plus equity, positioning it at the 75th percentile of market rates. The role is based in San Francisco HQ and requires 10+ years of relevant experience. You'll work with cutting-edge technologies including cloud platforms, distributed systems, and modern data lakehouse architectures.

This is an opportunity to make a significant impact at an early-stage startup, working alongside passionate engineers and technologists. The role combines technical challenges with business impact, as you'll be building the infrastructure that helps major companies make data-driven marketing decisions. The company emphasizes transparency, ownership, and data-driven decision-making in its culture and compensation philosophy.

Key technical requirements include expertise in Python, SQL, distributed systems (Spark, Hadoop, Kafka), cloud platforms, and modern data warehousing solutions. The ideal candidate will also bring experience with CI/CD, containerization, and infrastructure-as-code. Beyond technical skills, strong communication abilities and cross-functional collaboration experience are essential for success in this role.