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We are modernizing our legacy SQL Server data environment and migrating to a modern cloud-based architecture leveraging Azure Data Lake, Snowflake, Databricks, and optimized SQL Server. The selected Data Engineers will design, build, and optimize scalable data pipelines, ensure high data quality, and support advanced analytics across the organization.
Job Responsibility:
Design, build, and optimize scalable data pipelines
Ensure high data quality
Support advanced analytics across the organization
Requirements:
Snowflake / Azure Data Lake / SQL Server (role‑dependent)
5+ years hands-on experience in the primary technology area
Performance tuning & query optimization
3–5 years of experience optimizing large, complex datasets
Databricks (preferred for all)
2+ years experience
Nice to have:
Workforce Planning experience is a strong plus.
Backgrounds in modern cloud data ecosystems, enterprise data engineering, and large-scale data migrations are highly desirable.
Ability to provide architectural guidance, make recommendations, and help steer the team in the right direction.
Deep experience with modern cloud data best practices and migration strategies.
What we offer:
medical, dental, vision, life, disability, and other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
corporate discount savings program
on-demand training program
access to certification prep and a library of technical and leadership courses/books/seminars after 6+ months