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This is a remote position. Exasol Data Engineer Start Date: ASAP Duration: Contract (Through End of Year, Extension Possible) Daily Working Hours: Full-Time Travel: Remote Work authorization: Must be eligible to work in the U.S. without company sponsorship No Third Parties Please Project Scope We are seeking an Exasol Data Engineer to 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. This role will work within a complex data environment to build, optimize, and validate data pipelines that drive clinical and operational analytics outcomes. Position Summary The Exasol Data Engineer will serve as a senior technical resource responsible for SQL-based data engineering, chart validation, and healthcare analytics development within an Exasol environment. This individual will bring deep knowledge of healthcare terminologies, quality measure structures, and claims data to support accurate, repeatable, and well-documented data solutions. The ideal candidate is a disciplined engineer who can explain why a query is slow, fix it, and deliver reliable outputs that meet clinical and regulatory requirements. Key Responsibilities 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. Work with claims data structures including 837, 835, 834, CMS CCLF, and member-month analytic grain. Support value-based care program analytics across MSSP, Medicare Advantage Stars, HEDIS, eCQMs, CQL, and HCC risk adjustment on CMS-HCC V28. Maintain disciplined engineering practices including version control, peer review, documented logic, and repeatable deployment processes. Qualifications 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. Preferred Qualifications Direct Exasol experience strongly preferred; strong experience on Snowflake, Redshift, Teradata, or Vertica transfers well. Experience with Exasol in-database compute including Python UDFs and BucketFS model artifacts. Claims data experience across 837, 835, 834, CMS CCLF, and member-month analytic grain. VBC program knowledge across MSSP, Medicare Advantage Stars, HEDIS, eCQMs, CQL, and HCC risk adjustment on CMS-HCC V28. Ideal Candidate Profile Senior data engineer who can independently diagnose and resolve complex SQL performance issues without being pointed in the right direction. Deep healthcare data professional who understands the clinical context behind the data, not just the technical structures. Disciplined and methodical, with a track record of clean, documented, and repeatable data engineering work. Comfortable operating in a fully remote environment with minimal oversight. Brings technical depth, accountability, and a delivery-focused mindset to every engagement. When working with Quoris as a consultant, you are eligible for competitive benefits including Health, Dental, Vision, 401k, and a great culture/working environment.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.