Data Engineer

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.
• Performs other duties as assigned.
• Learns new technical concepts and software languages as needed.

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.
• Performs 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. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery).
• Experience programming in ETL or ELT technology.
• Understanding of data warehouse data model theory and techniques.
• Experience with Python programming language.

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. RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery).
• Experience programming in ETL or ELT technology.
• Understanding of data warehouse data model theory and techniques.
• Experience with Python programming language.