Sr. Data Engineer (Remote)

VISION RADIOLOGY PROFESSIONAL
Dallas, TX, United States
about 1 month ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,000.0 - $175,000.0
Working hours
Regular working hours
Job source

Tech stack

Sql Data Warehouse Microsoft Excel Application Programming Interfaces (APIs) Artificial Intelligence BigQuery Databases Continuous Integration Information Engineering Data Integrity Extract Transform Load (ETL) Data Transformation Dataspaces
+25 more
Data Systems Data Warehousing Dicom Python (Programming Language) PostgreSQL Machine Learning Power BI Standard Sql SQL Databases Data Streaming Tableau (Software) Technical Data Management Systems Unstructured Data Fast Healthcare Interoperability Resources Large Language Models Snowflake Change Data Capture Git Data Layers Data Lakes Information Technology Apache Kafka Looker Analytics Data Pipelines Amazon Redshift

Job description

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., * 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, * 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

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

Benefits & conditions

Pulled from the full job description

  • Paid parental leave
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Health savings account
  • Dental insurance, 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.)

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:30 min

Scaling agile frameworks and data interoperability in healthcare

Leo Lindhorst · World Congress 2022

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all