Data Engineer

Pay Range

$/yr - $/yr

• Architect, develop, and operate scalable data pipelines that power analytics and machine learning use cases.
• Build and maintain well-structured data warehouses and semantic models to enable self-service reporting.
• Partner with cross‑functional teams to gather data needs and deliver reliable, accessible datasets.
• Establish data validation, monitoring, and quality controls to ensure accuracy and consistency.
• Work alongside analytics and data science teams to support model development and production workflows.
• Improve storage efficiency and query performance across cloud and relational data environments.
• Evaluate new data engineering technologies and promote engineering best practices within the team.

• 3+ years in data engineering,
  data science
  , data platform development, or a closely related role.
• Advanced SQL skills and hands‑on experience with at least one programming language such as Python, Java, or Scala.
• Practical experience with cloud‑based data warehouses (Snowflake, Redshift, Big Query, or similar).
• Strong foundation in data modeling, warehousing concepts, and pipeline development.
• Experience using modern data orchestration and transformation tools (e.g., Airflow, dbt).
• Strong communication skills with the ability to collaborate across technical and non‑technical teams.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Staffing and Recruiting and Insurance