Data Engineer
Nationwide Mutual Insurance Company
Columbus, OHJobSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Data Engineer designs, implements, maintains, and supports ETL, data warehousing, and enterprise data-integration workflows across databases, file systems, and service interfaces. The role also covers data modeling, testing, workload orchestration, production support, and coordination across the SDLC. Candidates need a qualifying degree in Computer Science or Engineering and the corresponding experience described in the posting.
Skills & qualifications
Skills
Qualifications
Full job description
Data Engineer needed to design, implement, maintain, and support ETL, data warehousing, and enterprise data-integration workflows across relational databases, file systems, and service interfaces using Ab Initio, SQL, PL/SQL, Unix shell scripting, and Teradata, Oracle, and DB2 platforms, including mappings, metadata-driven transformation logic, and ETL performance tuning for high-volume data flows. Perform automated and manual testing of Data warehousing pipelines, analytics workloads, and application systems using Jira and HP Quality Center, including test scripts, test plans, test cases, traceability, regression support, and migration-readiness checkpoints across the full SDLC, including requirements analysis, design, development, testing, deployment coordination, issue tracking, defect management, sprint planning, and release coordination using Jira and post-implementation production support. Design and optimize physical and logical data models and SQL and PL/SQL based processing logic to support reporting, query performance, data consistency, dimensional modeling, schema design, and large-scale data processing. Develop and execute Unix shell scripts for automation, job orchestration, file transfer, and environment management, and engineer, schedule, and monitor enterprise data-processing workloads using Control-M and Autosys, including production support, ETL performance tuning, root-cause analysis, and production moves. Utilize C, XML and related technologies including HTML, for structured data handling, file- based interfaces, and ETL support across heterogeneous source and target systems. Master's degree in Computer Science or Engineering and 3 years of experience performing the duties listed above. Will also accept a Bachelor's degree in Computer Science or Engineering and 5 years of experience performing the duties listed above.
How this job compares
Set against the 6,189 open Data Engineer jobs on Olive Jobs, counted October 30, 2026.
- Pay
- This postingNot listed
- Ohio median$111–212K/yr155 salary ranges
- US median$70–80/hr221 hourly ranges
- Openings
- Olive Jobs lists 211 open Data Engineer jobs in Ohio and 6,189 across the US. 9% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,423 postings).
- Education
- 2,802 of the 6,189 open Data Engineer jobs (45%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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