Data Engineer
Description:
Medical Mutual employees must submit their applications through MySource.
Note: This is a hybrid position located in Dublin, OH, with a three-day per week onsite requirement. Candidates must be located in the Columbus/Dublin area.
Data Engineer I
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 II
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:
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 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 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
Bachelor's degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
Two or more years professional experience developing software to solve business problems
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 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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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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