PR-driven shipping: Opening and merging pull requests for new or updated Dagster jobs, assets, schedules, and sensors, plus dbt models, tests, and documentation
Infrastructure tweaks: Writing occasional Terraform for secrets, environment variables, or job sizing when a pipeline needs it
Pipeline implementation: Building and debugging Python pipelines covering REST/API syncs, large Postgres extracts, Parquet loads, and Snowflake COPY operations
Airbyte management: Configuring or troubleshooting Airbyte connections wherever managed sync is the right fit
Production monitoring: Watching production runs and investigating failures related to IAM, OOM, Spot instances, or bad watermarks
Backfills & catch-ups: Running backfills and incremental catch-ups with a clear story for what landed and why
Modeling partnership: Working with analytics and product on dim/fct/x_fct design, incremental strategies, and data quality
Code review & runbooks: Participating in code review, release prep, and writing short runbooks so others can operate your pipelines when you're out
Your application will be reviewed for possible next steps by a real human being from the PeopleOps team
If you meet eligibility requirements, the next step would be a video interview with a member of the PeopleOps team for about thirty (30) minutes
If warranted, the next step would be a video interview with our Principal Data Scientist for forty-five (45) minutes
If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for one and a half (1.5) hours
If warranted, the next and final step would be a video interview with a key leader in the company for thirty (30) minutes
If warranted, we move to offer!