Senior Data Engineer - Remote Data Pipelines & Warehousing

Highmark Health; Northern (KY); Hybrid; USD 103,000 - 165,000; Full time

Job summary

enGen is seeking a senior data engineer to design, build, and maintain scalable data pipelines and storage solutions. You will work across data professionals, analysts, and engineers to ensure reliable data flow and quality across systems.

The role emphasizes collaboration, mentoring, and staying current with data engineering trends and best practices to support a broad range of initiatives.

Qualifications

• Bachelor’s degree in a related field is required.
• 5 years of experience in data engineering, ETL development, or data management.
• 5 years of SQL and database technologies (e.g., MySQL, PostgreSQL, MongoDB).
• 5 years of data warehousing concepts and experience with Snowflake, Redshift, or BigQuery.

Responsibilities

• Design, develop, and maintain robust data processes and solutions.
• Develop and maintain data models, databases, and data warehouses to support BI and analytics.
• Collaborate with IT, product, analytics, and business teams to gather requirements and provide data solutions.
• Monitor production schedule, provide progress updates, and report issues to lead developers.
• Implement and manage data governance, ensuring data quality, integrity, and regulatory compliance.

Skills

Adaptability

Analytical Thinking

Team Collaboration

Mentorship

Ownership

User experience focus

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Master’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Tools

Terraform

AWS

Azure

GCP

Job description

enGen is seeking a senior data engineer to design, build, and maintain scalable data pipelines and storage solutions. You will work across data professionals, analysts, and engineers to ensure reliable data flow and quality across systems.

The role emphasizes collaboration, mentoring, and staying current with data engineering trends and best practices to support a broad range of initiatives.