Senior Data Engineer

📋 Description

• Design and implement ETL pipelines to transform upstream data into curated assets.
• Architect highly distributed, high-performance data platform systems.
• Identify and improve existing pipelines and processes.
• Translate business requirements into technical solutions.
• Ship ETL improvements and fix data issues in the data stack within the first 90 days.
• Collaborate with Product and Engineering teams to build data sets and answer key questions.

🎯 Requirements

• Strong SQL experience.
• Expertise with data pipelining orchestration frameworks (Airflow, Luigi, etc.).
• Experience building ETL pipelines.
• Software engineering in Java or Python.
• Experience building/optimizing a data warehouse on a major cloud platform (BigQuery preferred).
• Deep understanding of Big Data tech like Hadoop and Spark.

🎁 Benefits

• Competitive salary and stock options.
• Flexible vacation / Unlimited PTO (within reason).
• Medical, dental, and Flexible Spending Account (FSA).
• Company-matched 401(k).
• Paid Paternity & Maternity Leave.
• Agile Development Program for continued learning and professional development.