Specialty
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The role
The company is hiring a Senior Software Engineer for its Data Platform team, which centralizes internal and third-party data for analytics, ML and product features. The work covers storage, pipelines and self-service tools. The company is remote-first.
What you will do
- Design and operate data services across warehouses, data lakes, Airflow, Spark, SQL and Kafka
- Build SDKs that internal services use to work with the data platform
- Deliver self-service apps for managing and troubleshooting data pipelines
- Build data security and observability services, including access control, catalog, lineage and quality tracking
- Work with analysts, ML engineers and security teams to turn requests into reusable patterns
What they ask for
- 5+ years of backend engineering building and running data systems or pipelines in production
- Proficiency in Python, Go or Java
- Knowledge of data infrastructure patterns such as caching, key/value stores and columnar storage
- Production experience with SQL, Airflow, Spark, Kafka or similar
- Experience with data security, access control or data observability
- Responsible use of generative AI with human oversight
This is our own short reading of the posting. The full description, and anything that has changed since, is on the employer's careers page behind the apply button.
