Hybrid Data Engineer: Pipelines & Insights

Medical Mutual; Cleveland (OH); Hybrid; USD 95,000 - 125,000; Full time

Job summary

Medical Mutual is seeking a data engineer to design and develop data integration pipelines, build data solutions for business insights, and support data quality and data modeling efforts. The role includes collaboration with business teams, data profiling, and ongoing skill development to meet evolving data needs.

The position emphasizes hands-on work with data pipelines, data lake/warehouse processes, and cloud technologies to enable analytics, reporting, and informed decision-making in a

Qualifications

• 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.

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.

Skills

Data pipelines

Data profiling

Data modeling

Python

SQL

Stakeholder communication

Education

Bachelor's degree in CS/IS or related

Tools

RedShift

Snowflake

DataBricks

Azure Synapse

BigQuery

Job description

Medical Mutual is seeking a data engineer to design and develop data integration pipelines, build data solutions for business insights, and support data quality and data modeling efforts. The role includes collaboration with business teams, data profiling, and ongoing skill development to meet evolving data needs.

The position emphasizes hands-on work with data pipelines, data lake/warehouse processes, and cloud technologies to enable analytics, reporting, and informed decision-making in a