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Sr Data Engineer at BHE
Des Moines, Iowa, United States -
Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

146700.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Pipelines, Data Infrastructure, Azure Data Factory, Azure Databricks, Data Architecture, Cloud Platforms, ETL/ELT Pipeline Development, Data Modeling, Performance Tuning, Solution Design, Data Engineering Practices

Industry

Utilities

Description
As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines and data infrastructure that support analytics, reporting, and data science initiatives. You will collaborate with cross‑functional teams to ensure data is accessible, reliable, and secure across the organization, while contributing to the ongoing improvement of data engineering practices. MidAmerican Energy Company, a Midwest utility, provides regulated electric and natural gas service to more than 1.6 million customers in Illinois, Iowa, Nebraska and South Dakota. The company owns and operates a portfolio of power-generating assets, approximately 61% of which is wind generation. MidAmerican Energy Company is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law. Employees must be able to perform the essential functions of the position, with or without an accommodation.
Responsibilities
The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. This role involves collaborating with cross-functional teams to ensure data accessibility, reliability, and security across the organization.