Data Engineer

• Design, build, and maintain scalable data pipelines using Databricks.
• Develop and maintain dbt models to transform raw data into analytics-ready datasets.
• Build and support ETL/ELT processes and automated workflows.
• Integrate data from multiple healthcare and operational systems.
• Create reusable data models and curated datasets for reporting and analytics.
• Develop efficient SQL and Python/PySpark solutions for large-scale datasets.
• Implement data quality testing, monitoring, and validation processes.
• Troubleshoot and resolve complex data issues across source systems and downstream reporting.
• Optimize data pipelines and platform performance for scalability and reliability.
• Collaborate with business, analytics, and technical teams to deliver data solutions.
• Maintain documentation for data models, transformations, and business rules., Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
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We are seeking an experienced Data Engineer with strong expertise in Databricks, dbt, SQL, and healthcare data. This individual will help build and optimize scalable data pipelines, transform complex healthcare datasets, and create reliable data assets that support analytics, reporting, and operational decision-making.

The ideal candidate has experience working with large healthcare datasets and enjoys solving complex data challenges in a collaborative environment., * 5 years of Data Engineering experience

• Hands-on experience with Databricks
• Strong experience with dbt
• Advanced SQL skills
• Experience building production ETL/ELT pipelines
• Experience with Python and/or PySpark
• Strong understanding of data modeling and modern data warehouse/lakehouse architecture
• Experience with Git and software development best practices
• Strong troubleshooting and problem-solving skills, * Experience working with healthcare data, including:
• Claims
• EHR/EMR
• Eligibility
• Pharmacy
• Provider and clinical data
• Experience with healthcare data models and transformation frameworks
• Knowledge of ICD-10, CPT, HCPCS, NDC, LOINC, SNOMED, and NPI
• Experience with FHIR and/or HL7
• Experience with Databricks Delta Lake/Lakehouse architecture
• Experience supporting Power BI or Tableau
• Databricks and/or dbt certifications

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

• the individual’s skill sets, experience and training;
• licensure and certification requirements;
• office location and other geographic considerations;
• other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring’s use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client’s use of AI products in hiring.