Senior Data Engineer

Senior Data Engineer Location: Cincinnati, OH (Hybrid) Travel: Occasional (approximately 3–5 trips per year) Work Authorization: US Citizen or Green Card Holder ONLY (We can not consider H1B, OPT, EAD, etc..) About the Role We’re looking for a seasoned Senior Data Engineer to play a key role in designing, building, and scaling the data foundation that supports both analytics and operational use cases. In this role, you’ll own the end-to-end data lifecycle—from ingestion to transformation and modeling—ensuring our data is trusted, well-governed, and easy to use across the organization. You’ll work closely with engineering, analytics, and business partners to deliver performant, well-documented data solutions that enable insights, automation, and operational efficiency. What You’ll Be Responsible For • Design, build, and optimize scalable data pipelines using Fivetran, Airflow (Astronomer), AWS, and related tooling • Develop high-quality dbt transformations and Snowflake data models optimized for performance and reliability • Ingest and integrate data from a variety of structured and semi-structured source systems • Establish and reinforce data governance standards, testing practices, and overall data quality best practices • Create and maintain clear documentation including data dictionaries, lineage diagrams, pipeline workflows, and recovery procedures • Partner with analytics and visualization teams to ensure data models accurately reflect business logic and reporting needs • Contribute to code reviews, testing strategies, and CI/CD pipelines using Git and containerized environments such as Docker • Identify and implement improvements related to automation, observability, and data reliability • Mentor junior engineers and support the adoption of sound engineering patterns and emerging technologies • Engage with business stakeholders to understand how data is consumed and ensure solutions align with business objectives What We’re Looking For • 5+ years of hands-on experience building and maintaining modern data platforms • Advanced SQL and Python skills for transformation, automation, and optimization • Strong, practical experience with Snowflake, dbt, and Airflow • Experience working with Fivetran, AWS, and containerized tooling • Solid understanding of data modeling, warehousing concepts, and CI/CD processes • Comfort working with semi-structured and unstructured data formats (JSON, Parquet, Avro) • Exposure to containerization and infrastructure-as-code principles • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences • Experience in healthcare or other regulated environments is a plus What Sets You Up for Success • A strong sense of ownership and accountability for data quality and reliability • A thoughtful, detail-oriented approach to problem solving • Commitment to documentation, governance, and best engineering practices • Curiosity and adaptability in a rapidly evolving technical landscape • Ability to collaborate effectively across technical and business teams