Sr Data Engineer

What you'll do

• Ingest, transform, validate, and publish data across the Raw/Prep/Prod medallion layers, including curated feature and training datasets for ML engineering.
• Orchestrate, govern, monitor, and maintain pipelines, including CI/CD, production troubleshooting, backfills, and on-call support.
• Define data contracts and quality rules, and work with technical and business partners to deliver reusable data products.

What they ask for

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered.
• 3+ years building and supporting production data pipelines in a cloud data platform environment.
• Strong hands-on Python and SQL, plus Databricks or comparable Spark-based lakehouse experience including Delta Lake, MERGE, and incremental loading.
• Experience with medallion design, data ingestion, dimensional modeling, orchestration, CI/CD, production troubleshooting, and pipeline monitoring.

Nice to have

• Databricks certification or equivalent demonstrated depth; Unity Catalog experience.
• dbt on Databricks, dlt (dltHub) or similar ingestion framework, or Dagster experience.

Pay

USD 84,000–128,667 (per-year-salary) (base salary)

Tools

Databricks, Azure, Python, SQL, Apache Spark, Delta Lake, dbt, Dagster

AI focus

Produce versioned, reproducible feature and training tables for ML engineering to train and serve models from.