Data engineer-TACO

Job Description Data engineer - TACO | Starship Integrations Required Skills Python — production application code (modular, config-driven, unit tested). Apache Spark / PySpark — building and tuning distributed transformations, including diagnosing memory and performance problems. Apache Airflow — DAG authoring, scheduling and dependency design, debugging failed runs.

SQL and relational modeling — including schema migrations and data reconciliation. AWS S3. Production support — troubleshooting data pipeline failures and root-cause analysis.

Preferred Skills Anaplan integration — REST/bulk API, Anaplan Connect, or CloudWorks. PostgreSQL / RDS and Alembic migrations. Docker, Kubernetes, and CI/CD pipelines (Harness or similar).

Delta Lake / Databricks.

Responsibilities

• Integration applications- Containerized Python/PySpark applications that read source data from S3, apply territory and effective-dating business logic, and publish results downstream.
• Anaplan integration- Anaplan authentication and bulk import/export APIs, file formatting and upload, and reconciliation of loaded data against source.
• Airflow orchestration- Author and maintain DAGs, custom operators, and environment-specific deployment configuration across environments.
• Data stores- AWS S3, Delta/Parquet datasets, and PostgreSQL RDS with schema migrations.
• CI/CD & runtime- Docker image builds, Kubernetes workloads, and multi-environment promotion pipelines.
• Production support- Respond to pipeline failures — Spark memory and performance issues, schema drift, and reconciliation mismatches.
• Documentation- Runbooks and lineage documentation.
• Salary Range- $120,000-$160,000 a year