What are the responsibilities and job description for the Senior Data Engineer position at Quantum Health?
Who we are
Founded in 1999 and headquartered in Central Ohio, we’re a privately-owned, independent healthcare navigation organization. We believe that no one should have to navigate the cost and complexity of healthcare alone, and we’re on a mission to make healthcare simpler and more effective for our millions of members. Our big-hearted, tech-savvy team fights to ensure that our members get the care they need, when they need it, at the most affordable cost – that’s why we call ourselves Healthcare Warriors®.
We’re committed to building diverse and inclusive teams – more than 2,000 of us and counting – so if you’re excited about this position, we encourage you to apply – even if your experience doesn’t match every requirement.
About the role
As a Senior Data Engineer, this individual contributes to architecture and design discussions, supports best practices in data quality, governance, and security, and helps strengthen overall data delivery processes. The Senior Data Engineer also mentors peers and drives continuous improvement in engineering standards and automation across the team.
Location: This position is located at our Dublin, OH campus with hybrid flexibility or may work remotely anywhere in the United States of America.
What you’ll do (Essential Responsibilities)
- Create, maintain, and optimize robust data pipelines and associated data services to ensure scalability, reliability, and performance.
- Partner with data, analytics, and design teams to define scalable data solutions and support evolving business requirements; contribute to data architecture discussions and design decisions to align with long-term enterprise data strategy.
- Provide input into data modeling, integration design, and data lifecycle management to ensure alignment with best practices in data governance, metadata management, and security.
- Collaborate across the organization to embed data quality, lineage, and stewardship principles into engineering and delivery processes.
- Mentor peers, share best practices, and drive continuous improvement in data engineering standards, automation, and architecture awareness within the team.
- All other duties as assigned.
What you’ll bring (Qualifications)
- Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field or equivalent experience and training.
- Experience: 5 years of experience in technical data roles such as ETL development, data engineering, BI reporting, or related disciplines.
- Strong SQL expertise with hands-on experience designing and optimizing complex queries, relational databases, and data models.
- Proven experience building, scaling, and maintaining data pipelines, data lakes, and data integration frameworks.
- Understanding of data architecture concepts (data modeling, integration patterns, schema design, storage optimization) and ability to collaborate with architects to translate strategy into implementation.
- Proficiency with cloud technologies including AWS (S3, EC2, EMR, DynamoDB, Aurora, Athena, Glue, etc.) and platforms such as Snowflake and dbt.
- (Preferred) Familiarity with data orchestration and integration tools (SSIS, SnapLogic, Kestra, Airflow, etc.) and streaming technologies (Kafka, Spark, Kinesis).
- Experience with data governance, metadata management, and data quality frameworks.
- Strong analytical and problem-solving skills, with the ability to balance technical detail and strategic context.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Working knowledge of object-oriented and functional scripting languages (Python, Java, Scala, etc.).
- Strong organizational and project management skills, with an ability to prioritize and align technical work to business strategy.
- Strong administrative/technical skills; Comfort working on a PC using Microsoft Office (Outlook, Word, Excel, PowerPoint), IM/video conferencing (Teams & Zoom), and telephones efficiently.
- Trustworthy and accountable behavior, capable of viewing and maintaining confidential information daily.