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Data Engineer

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: Medical Mutual
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Description

Note:
Requires working in the Brooklyn, Ohio office one set day per week, with additional as-needed onsite requirements.

Founded in 1934, Medical Mutual is the oldest and one of the largest health insurance companies based in Ohio. We provide peace of mind to more than 1.2 million members through our high-quality health, life, disability, dental, vision and indemnity plans. We offer fully insured and self-funded group coverage, including stop loss, as well as Medicare Advantage, Medicare Supplement, and individual plans.

Data

Engineer III

Data engineer responsible for the design and development of data integration pipelines. Build data solutions for business problems and support the applied use of data to enable business insights and action. Job duties involve profiling data, developing data transformation pipelines, measuring data quality, designing data models, and supporting applied use of data to solve problems (exploratory analysis, business intelligence/dashboards, reporting, alerts).

Responsibilities
  • Develop data pipelines to integrate and transform data for analysis.
  • Support other data users and enable applied use of data to solve business problems.
  • Business meetings to understand data and business needs, socialize knowledge of data products and insights, and generate consensus.
  • Data profiling, data documentation, measuring and enforcing data quality.
  • Developing data models to represent information.
  • Perform other duties as assigned.
  • Learns new technical concepts and software languages as needed.
Qualifications Data Engineer III
  • Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience.
  • Four or more years professional experience developing software to solve business problems.
  • Three or more years' experience with data engineering system design and software implementation.
  • Experience with all parts of the systems development life cycle.
  • Experience with database technologies and query semantics.
  • Experience with public cloud database technology (e.g. Red Shift, Snow Flake, Data Bricks, Azure Synapse, Big Query).
  • Experience programming in ETL or ELT technology.
  • Understanding of data warehouse data model theory and techniques.
  • Experience with Python programming language.
Data Engineer IV

Data engineer responsible for the design and development of data integration pipelines. Build data solutions for business problems and support the applied use of data to enable business insights and action. Job duties involve profiling data, developing data transformation pipelines, measuring data quality, designing data models, and supporting applied use of data to solve problems (exploratory analysis, business intelligence/dashboards, reporting, alerts).

Responsibilities
  • Develop data pipelines to integrate and transform data for analysis.
  • Support other data users and enable applied use of data to solve business problems.
  • Business meetings to understand data and business needs, socialize knowledge of data products and insights, and generate consensus.
  • Data profiling, data documentation, measuring and enforcing data quality.
  • Developing data models to represent information.
  • Perform other duties as assigned.
  • Learns new technical concepts and software languages as needed.
Qualifications Data Engineer IV
  • Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience.
  • Seven or more years professional experience developing software to solve business problems.
  • Five or more years' experience with data engineering system design and software implementation.
  • Proficient with all parts of the systems development life cycle.
  • Experience with database technologies and query semantics.
  • Experience leading and coordinating technical initiatives.
  • Experience with public cloud database technology (e.g. Red Shift, Snow Flake, Data Bricks, Azure Synapse, Big Query).
  • Experience programming in ETL or ELT technology.
  • Understanding of data warehouse data model theory and techniques.
  • Experience with Python programming language.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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