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Job Information
Medical Mutual of Ohio Data Engineer I-V in United States
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 1.6 million Ohioans 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.
Medical Mutual’ s status as a mutual company means we are owned by our policyholders, not stockholders, so we don’t answer to Wall Street analysts or pay dividends to investors. Instead, we focus on developing products and services that allow us to better serve our customers and the communities around us and help our members achieve their best possible health and quality of life.
Data Engineer I
Software developer for the design and development of the company’s data lake, data warehouse, and data marts, and development of related business intelligence dashboards and visualizations. Job duties involve profiling data, developing data transformation jobs and processes, measuring data quality, and designing data warehouse data models, evaluating usability and testing data models, and developing business intelligence visualizations.
Data Engineer II
Software developer for the design and development of the company’s data lake, data warehouse, and data marts, and support for applied use of data for business insights. Job duties involve profiling data, developing data transformation jobs and processes, measuring data quality, and designing data warehouse data models, evaluating usability and testing data models, and developing processes for applied use of enterprise data (data analysis, business intelligence, reporting).
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).
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).
Data Engineer V
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
Data Engineer I
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
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
Data Engineer III
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
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 V
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
Education and Experience:
- Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
Technical Skills and Knowledge:
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
Education and Experience:
- Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
Technical Skills and Knowledge:
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
Education and Experience:
- Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
Technical Skills and Knowledge:
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
Education and Experience:
- Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
Technical Skills and Knowledge:
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
Data Engineer V
Education and Experience:
- Bachelors degree in Computer Science, Computer Information Systems, business degree with focus on data transformation or analysis, or equivalent work experience
Technical Skills and Knowledge:
Seven or more years professional experience developing software to solve business problems
Five or more years experience and demonstrated excellence with data engineering system design and software implementation
Demonstrated excellence with all parts of the systems development life cycle
Expert in database technologies and query semantics
Demonstrated excellence 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
Expert understanding of data warehouse data model theory and techniques
Experience with Python programming language
Medical Mutual is looking to grow our team! We truly value and respect the talents and abilities of all of our employees. That's why we offer an exceptional package that includes:
A Great Place to Work
We will provide the equipment you need for this role, including a laptop, monitors, keyboard, mouse, and headset.
Whether you are working remotely or in the office, employees have access to on-site fitness centers at many locations, or a gym membership reimbursement when there is no Medical Mutual facility available. Enjoy the use of weights, cardio machines, locker rooms, classes and more.
On-site cafeteria, serving hot breakfast and lunch, at our Brooklyn, OH location. Convenience stores at many locations.
Discounts at many places in and around town, just for being a Medical Mutual team member.
The opportunity to earn cash rewards for shopping with our customers.
Business casual attire, including jeans.
Excellent Benefits
Employee bonus program
401(k) with company match up to 4% and an additional company contribution.
Health Savings Account with a company matching contribution.
Excellent medical, dental, vision, life, and disability insurance — insurance is what we do best, and we make affordable coverage for our team a priority.
Access to an Employee Assistance Program, which includes professional counseling, personal and professional coaching, self-help resources and assistance with work/life benefits.
Company holidays and up to 16PTO days during the first year of employment with options to carry over unused PTO time.
After one year of service, parental leave for eligible employees who become parents through maternity, paternity, or adoption.
An Investment in You
Career development programs and classes.
Mentoring and coaching to help you advance in your career.
Tuition reimbursement up to $5,250 per year, theIRS maximum.
Diverse, inclusive, and welcoming culture with Business Resource Groups.
About Medical Mutual
Medical Mutual’s status as a mutual company means we are owned by our policyholders, not stockholders, so we do not answer Wall Street analysts or pay dividends to investors. Instead, we focus on developing products and services that allow us to better serve our customers and the communities around us.
There is a good chance you already know many of our Medical Mutual customers. As the official insurer of everything you love, we are trusted by businesses and nonprofit organizations throughout Ohio to provide 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. Our plans provide peace of mind to more than 1.5 million Ohioans.
We are not just one of the largest health insurance companies based in Ohio, we are also the longest running. Founded in 1934, we aree proud of our rich history with the communities where we live and work.
At Medical Mutual and its family of companies we celebrate differences and are mutually invested in our employees and our community. We are proud to be an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, veteran status, or disability status.
We maintain a drug-free workplace and perform pre-employment substance abuse and nicotine testing.
Title: Data Engineer I-V
Location: United States
Requisition ID: 2400300