Data Engineer, Exasol

🕒 2 days ago

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Quoris

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Quoris is a healthcare IT services and staffing firm that helps hospitals and health systems deploy, optimize, and modernize electronic health records (EHR) and related technology. Founded in 1999, the company provides workforce solutions (staffing, on-demand resourcing, managed services), EHR implementations and optimizations, data strategy, and technology/innovation advisory to healthcare organizations worldwide.

📋 Description

• Support a healthcare analytics engagement requiring deep SQL engineering expertise and hands-on experience with healthcare data structures, quality measures, and value-based care programs. • Work within a complex data environment to build, optimize, and validate data pipelines that drive clinical and operational analytics outcomes. • Serve as a senior technical resource responsible for SQL-based data engineering, chart validation, and healthcare analytics development within an Exasol environment. • Bring deep knowledge of healthcare terminologies, quality measure structures, and claims data to support accurate, repeatable, and well-documented data solutions. • Design, build, and optimize complex SQL queries using set-based logic, window functions, and query tuning techniques on Exasol or comparable MPP/columnar platforms. • Extract and stage data from SQL Server sources including JDBC-based loads. • Perform chart validation by reconciling extracts against medical records on sample patients and running correction loops with clinical or measure SMEs. • Apply working knowledge of healthcare terminologies including LOINC, ICD-10-CM and PCS, CPT and HCPCS, SNOMED CT, and RxNorm. • Support quality measure development across eligible populations, denominators, numerators, exclusions, and value sets including VSAC and NCQA. • Leverage Exasol in-database compute capabilities including Python UDFs, script language containers, and BucketFS model artifacts. • Maintain disciplined engineering practices including version control, peer review, documented logic, and repeatable deployment processes.

🎯 Requirements

• 5+ years of SQL data engineering experience with at least 2 years in healthcare provider or payer analytics. • Deep, demonstrable SQL expertise including set-based logic, window functions, and query tuning on columnar or MPP platforms. • Experience extracting and staging data from SQL Server sources including JDBC-based loads. • Chart validation experience reconciling extracts against medical records and working correction loops with clinical SMEs. • Working knowledge of healthcare terminologies including LOINC, ICD-10-CM/PCS, CPT, HCPCS, SNOMED CT, and RxNorm. • Familiarity with quality measure structure including eligible population, denominator, numerator, exclusions, and value sets. • Disciplined engineering practice including version control, peer review, documented logic, and repeatable deployment. • Must be eligible to work in the U.S. without sponsorship.

🏖️ Benefits

• Health, Dental, Vision • 401k • Great culture/working environment