onsite
Staff Data Engineer - WellSky
Data Engineer
Senior data engineering role focused on designing and maintaining scalable data pipelines, enterprise data warehouses, and data visualizations using Python, SQL, and AWS services to enable data‑driven decision making.
About the role
Key Responsibilities
- Lead the design, development, and maintenance of enterprise data architecture, including data models, standards, and integration pipelines.
- Build and optimize scalable ETL workflows that ingest, transform, and load data into a central data warehouse.
- Collaborate with data scientists, analysts, and business stakeholders to ensure high data quality, accessibility, and security.
- Implement and maintain data visualization solutions that support real‑time analytics and reporting.
- Research and adopt emerging data technologies and best practices to continuously improve data infrastructure.
Requirements
- Extensive experience with Python and SQL for data engineering tasks.
- Proven track record building and scaling data warehouses and ETL pipelines.
- Strong knowledge of AWS data services (Redshift, S3, Glue, Athena).
- Solid understanding of data modeling, governance, and security principles.
- Excellent communication skills and ability to work cross‑functionally.