Senior Data Engineer
Core
Design and build scalable data pipelines, integrate complex data sources, and enable high-quality analytics across the organization.
Role type
Senior IC data engineer
Builds
Curated data models, analytical layers, and data pipelines for reporting and downstream analytics
Domain
Enterprise data infrastructure and analytics
Deliverable
production ML models | product features
Required skills
SQL, Python, ETL/ELT patterns, data modeling, orchestration tools (Airflow/Dagster/Prefect), data quality/observability, CI/CD, Databricks, cloud storage (AWS S3/Hadoop/Hive/Snowflake), distributed systems
Preferred skills
Alteryx, BI tools (Power BI/Tableau), major cloud platforms (AWS/GCP/Azure)
Technologies
Databricks, Airflow, Dagster, Prefect, SQL, Python, AWS S3, Hadoop, Hive, Snowflake, Power BI, Tableau
Responsibilities
Ingest and integrate data from structured and unstructured enterprise systems; Design and build curated data models and analytical layers; Develop, optimize, and maintain pipelines; Clean, transform, and prepare datasets; Ensure data quality and observability; Integrate new data sources, APIs, and event streams (via careerplan.io/jobs/1208454-2-senior-data-engineer-at-hpe)
Seniority
Senior, hands-on IC
