Data Engineer (Snowflake, Teradata, DB2)
Company: Mutual of Omaha
Location: Remote (Remote)
Salary: $95,000 - $115,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-05-01
About this role
Location: Remote
Work Type: Full Time Regular
Job No: 504782
Categories: Information Technology
Application Closes: Open Until Filled
2026-04-30
Mutual of Omaha is seeking a highly skilled Data Engineer who will develop and maintain data-centric solutions and manage data warehouses to support our group insurance products. In this role, you will collaborate with cross-functional teams to define technology roadmaps, design, architect and build scalable and efficient data pipelines, optimize data storage and retrieval, and ensure data quality and integrity throughout the data lifecycle to provide seamless customer experience.
Our team is actively modernizing data pipelines using cloud-based data solutions such as AWS, Snowflake, MongoDB, Python. If you're passionate about modernization and enjoy solving complex technical challenges, we’d love to hear from you!
WHAT WE CAN OFFER YOU:
- Estimated Salary (Levels have variable responsibilities and qualifications)
- Engineer I: $95,000 - $115,000, plus annual bonus opportunity.
- 401(k) plan with a 2% company contribution and 6% company match.
- Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
- Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.
WHAT YOU'LL DO:
- Develop, test and integrate new data features and functionality based on product and business requirements.
- Implement data orchestration, data sourcing, cleansing, enrichment and data quality controls within supported data systems/platforms.
- Work with business owners to enable data utilization and maximize information value within supported systems.
- Design and develop scalable and efficient data pipelines to meet the operational and analytical data requirements of the business.
- Collaborate with enterprise stakeholders on data architecture, governance, data management best practices, a...