Sr. Data Engineer (Remote)

COMPANY DESCRIPTION Vision Radiology was founded in 2003 by several radiology alumni from The Johns Hopkins University who shared the core values of dedication to diagnostic radiology and a commitment to patient welfare. Our mission from day one has been to set the highest standards of quality, timeliness, and client service in the practice of radiology. JOB SUMMARY The Senior Data Engineer will build and own the data foundation / data ecosystem that Vision will leverage for business analytics, machine learning, and artificial intelligence applications. This includes working with key vendors to set up a data lake of the Practice’s data from various key systems, building and maintaining the connections that feed the database, and maintaining the code and tables to transform the data into a data warehouse. This role sits in Operations, but will work closely with IT and other departments. Please Note: This is a remote position that can be performed anywhere within the United States. A high-bandwidth, stable, and reliable internet connection is required. ROLE RESPONSIBILITIES Data Modeling & Transformation: Build clean, scalable, and reusable data models that act as a single source of truth for the company Pipeline Development: Design and manage Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to automate data flows Quality Assurance: Implement data testing, anomaly detection, and validation checks to ensure high data integrity Cross-Functional Collaboration: Partner with operational leaders and future analytics hires to define metrics and maintain data dictionaries Vendor Management: Manage the PACS API relationship and evaluate, select, and manage data warehouse and tooling vendors in partnership with IT Integrate our PACS through a direct API and change-data-capture, replacing today’s manual CSV export and Excel macro Build reliability in from day one: monitoring, alerting, data-quality checks, refresh SLAs, and documentation Handle PHI responsibly — access controls, de-identification where appropriate, and audit — in partnership with IT and the CIO Feed downstream reporting and applications (billing, payroll, dashboards), and prepare the layer for forecasting and the matching / optimization engine Own data systems end to end: build it, keep it running, and iteratively make it better Other related responsibilities as assigned QUALIFICATIONS AND EDUCATION REQUIREMENTS 5+ years in data engineering or analytics engineering, owning pipelines and data models in production Strong SQL and data modeling (dimensional / data-warehouse design) ELT / ETL plus streaming or change-data-capture, and workflow orchestration Bachelor’s degree: Computer Science, Information Technology, Data Science, or a related field Advanced proficiency in SQL and Python Hands-on production experience with a cloud data warehouse (e.g., Snowflake, BigQuery, Redshift, or Postgres at scale) API integration experience — pulling, reconciling, and maintaining data from third-party systems A high-reliability mindset: data quality, observability, and documentation as defaults Comfort as a founding builder — high autonomy, end-to-end ownership, pragmatic about trade-offs Occasional travel required PREFERRED SKILLS AND EXPERIENCE Experience with HL-7 and/or FHIR Experience with DICOM metadata Experience with data transformation tools (e.g., dbt Labs) Skill sets dealing with unstructured data for ML/AI (e.g.,report text, clinical history, LLMs) for us to train models on Familiarity with Git, continuous integration, and data documentation Ability to connect and optimize datasets for visualization and BI platforms like Tableau, Looker, or Power BI Ability to translate complex technical data models into strategic business insights Experience with streaming architectures and event brokers (e.g., Apache Kafka, Azure event hubs) Experience working with PHI in a HIPAA-regulated environment WHAT SUCCESS LOOKS LIKE IN YEAR ONE A direct API and change-data-capture feed from the PACS is live, replacing the manual CSV export and Excel macro A governed, documented data warehouse serves billing, payroll, and operational dashboard reporting as the single source of truth Monitoring, alerting, and data-quality checks run automatically against defined refresh SLAs The data layer is ready to support forecasting and the radiologist supply-demand matching and optimization engine Compensation: $150,000–$175,000 total compensation, including base salary plus performance bonus, commensurate with experience and qualifications. COMPANY BENEFITS 401(k) employer matching Medical/Dental/Vision Insurance (including additional ancillary benefits) FSA or HSA Unlimited Paid Time Off Policy Paid Parental Leave Variety of company perk programs (i.e., health & wellness, learning & development, etc.) Vision Radiology is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, marital status, or any other status protected by applicable law. Reasonable accommodations are available for qualified individuals with disabilities upon request.