Data Engineer 1 / 2 / 3 or Sr

Job Description

This is a multi-level posting. Candidates may be considered for any of the posted levels 14 / 15 / 16 / 17, depending on their level of experience and depth of expertise.

As a Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure to support analytics, reporting, and data science initiatives. You will work closely with cross-functional teams to ensure data is accessible, reliable, and secure across the organization.

Responsibilities

Primary Job Duties and Responsibilities (Essential Job Functions)

Design and Develop Scalable Data Pipelines

• Design and implement scalable data ingestion and transformation frameworks using Azure services enabling structured, semi-structured, and unstructured data to be efficiently processed and integrated into enterprise data platforms
• Build and maintain robust ETL / ELT pipelines using Azure Data Factory and Azure Databricks.
• Integrate data from diverse sources including on-premises systems, cloud storage, APIs, and streaming platforms.

Databricks Development and Optimization

Data Modeling and Architecture

Data Quality and Governance

Performance Tuning and Monitoring

Collaboration and Stakeholder Engagement

Security and Compliance

Documentation and Best Practices

Qualifications

Bachelor's degree in information systems, computer science or related technical field or equivalent work experience. (Typically four years of additional related, progressive work experience would be needed for candidates applying for this position who do not possess a bachelor's degree.)

A minimum of two years additional direct related technical experience in IT operations or data engineering experience with foundational knowledge of database structures, principles, and practices. is required for the level 1.

A minimum of three or more years additional direct related technical experience in data engineering, data integration, or database administration, with hands-on experience in Azure data services and pipeline development is required for the level 2 and 3.

Six or more years of experience with advanced knowledge of data architecture, cloud platforms (especially Azure), and enterprise data solutions is required for the sr level.

Proficiency in data engineering tools and platforms, especially Azure Data Factory and Azure Databricks.

Strong understanding of data modeling, ETL / ELT processes, and performance tuning of enterprise-level applications.

Expert-level knowledge of data-related technologies from architecture to administration, including design, development, optimization, and licensing.

Proven experience working in the utility industry is required

Effective oral and written communication skills, with the ability to collaborate across teams and mentor junior engineers.

Strong analytical and problem-solving abilities.

Ability to prioritize and manage multiple tasks and projects concurrently.

Employees must be able to perform the essential functions of the position, with or without an accommodation.

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.

About Us

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.

About the Team

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.