Data Engineer

Medical Mutual of Ohio

Cleveland (OH)

Hybrid

USD 85,000 - 120,000

Full time

2 days ago

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Job summary

Medical Mutual of Ohio designs and builds data integration and transformation pipelines to support analytics and business decision-making. You will develop data pipelines, transform data for analysis, and contribute to data lake and data warehouse initiatives.

The role emphasizes data modeling, quality assurance, and collaboration with stakeholders to deliver reliable data products across the analytics stack.

Qualifications

2+ years of professional experience developing software to solve business problems.
Bachelor’s degree in Computer Science, Computer Information Systems, or a business degree with focus on data transformation (or analysis), or equivalent work experience.
Basic understanding of programming design and coding techniques.
Familiarity with the systems development life cycle.
Understanding of database technologies and query semantics.
Experience with public cloud database technologies, including RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery.
Experience programming with ETL or ELT technologies.
Understanding of data warehouse data model theory and techniques.
Python programming experience.
Experience with data engineering system design and software implementation.
Experience with all parts of the systems development life cycle.
Experience leading and coordinating technical initiatives.

Responsibilities

Develop data pipelines to integrate and transform data for analysis.
Sequence and manage jobs and processes that transform data into data lake and data warehouse.
Perform data profiling and create data documentation.
Measure, enforce, and improve data quality using manual verification and automated data quality tests.
Design and develop data models to represent information.
Support analytic projects, including data extracts, demonstrations, and proof of data capabilities in the warehouse.
Enable applied use of data by supporting other data users and helping stakeholders use data to meet objectives.
Convene business meetings to understand data and business needs, capture agreement on business rules, and build consensus around data products and insights.
Learn new technical concepts and software languages as needed.
Provide additional support and complete other duties as assigned.

Skills

2+ years experience

Python programming

Data transformation

SDLC understanding

Data modeling

Stakeholder collaboration

Education

Bachelor's degree in CS/IS or data-focused business degree

Tools

RedShift

Snowflake

DataBricks

Azure Synapse

BigQuery

ETL

ELT

Python

Job description

Design and build data integration and transformation pipelines that support analytics and business decision-making.

Responsibilities

Develop data pipelines to integrate and transform data for analysis
Sequence and manage jobs and processes that transform data into data lake and data warehouse
Perform data profiling and create data documentation
Measure, enforce, and improve data quality using manual verification and automated data quality tests
Design and develop data models to represent information
Support analytic projects, including data extracts, demonstrations, and proof of data capabilities in the warehouse
Enable applied use of data by supporting other data users and helping stakeholders use data to meet objectives
Convene business meetings to understand data and business needs, capture agreement on business rules, and build consensus around data products and insights
Learn new technical concepts and software languages as needed
Provide additional support and complete other duties as assigned

Requirements

2+ years professional experience developing software to solve business problems
Bachelor’s degree in Computer Science, Computer Information Systems, or a business degree with focus on data transformation (or analysis), or equivalent work experience
Basic understanding of programming design and coding techniques
Familiarity with the systems development life cycle
Understanding of database technologies and query semantics
Experience with public cloud database technologies, including: RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery
Experience programming with ETL or ELT technologies
Understanding of data warehouse data model theory and techniques
Python programming experience
Experience with data engineering system design and software implementation
Experience with all parts of the systems development life cycle
Experience leading and coordinating technical initiatives