Staff Data Engineer
- Architecting, building, testing, and deploying data tools that empower engineering teams to move quickly without compromising operational goals
- Modifying designs and specifications of complex applications
- Collaborating and adding value through participation in peer code reviews, providing comments and suggestions
- Working with technical and non-technical end-users, other engineers, and product managers in a cross-functional, quick-moving, and collaborative environment
- Analyzing code, requirements, system risks, and software reliability and providing recommendations on how to leverage our technology more efficiently
- Working with Product to confirm requirements, prioritization, and development of new features
- Acting as a player-coach alongside Engineering peers, to build high-quality software efficiently while also fostering team growth through mentorship and collaboration
- Has 8+ years of experience building, testing, and deploying backend applications and distributed data systems
- Deep understanding of distributed systems, and how they can go wrong. You dream in DAGs. Martin Kleppman permanently on your bedside table.
- Experience with Infrastructure-as-Code systems like Terraform, AWS CDK, or Pulumi.
- Enjoys taking initiative, is a self-starter, is willing to move fast and ship quickly, and is excited about collaborating on big challenges
- Enthusiastic about working closely with cross-functional team members to develop creative solutions to novel problems
- Tech Stack: DBT, Databricks, Kinesis, EMR, Sigma, Airflow, Iceberg, Pulumi
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