Note: The job is a remote job and is open to candidates in USA. Vision Radiology was founded in 2003 and is dedicated to setting high standards in diagnostic radiology. The Senior Data Engineer will build and maintain the data foundation for business analytics, machine learning, and AI applications, collaborating with various departments to ensure data integrity and accessibility.
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
Skills
- 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
- 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
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.)*
Company Overview