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.

Job Summary

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.

Responsibilities

• Developing and sequencing jobs and processes to transform data into data lake and data warehouse
• Support analytic projects, data extracts, and other work to apply data in the warehouse, test and prove capabilities, evaluate usability, and perform demonstrations to other analysts for how to use data to meet objectives
• Business meetings to understand data, capture agreement on business rules, understand analyst and stakeholder objectives, and support usage of data to solve business problems
• Data profiling, data documentation, and measuring data quality with manual verification and development of automated data quality tests
• Developing data models to represent data
• Performs other duties as assigned
• Learns new technical concepts and software languages as needed

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

Qualifications

• D ata Engineer I
• Bachelor's degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience.
• Basic understanding of programming design and coding techniques.
• Familiarity with systems development life cycle.
• Understanding of 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 II

Data Engineer III

Data Engineer IV