Data Engineer
Medical Mutual employees must submit their applications through MySource.
Note: This is a hybrid position located in Brooklyn, OH, with a three-day per week onsite requirement. Candidates must be located in the Cleveland/Brooklyn area.
Data Engineer III
Job Summary:
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, pipeline development, scheduling, 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
Job Summary:
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, pipeline development, scheduling, 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
- Bachelor's 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
- Bachelor's 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
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