Sr Data Engineer

Senior Data Engineer – Healthcare Data (Veradigm)

Overview

Veradigm is seeking a Senior Data Engineer to support the design, development, and optimization of healthcare data solutions that power analytics, reporting, and client deliverables. This role is critical in enabling scalable, compliant, and high-quality data pipelines across clinical, claims, and operational datasets.

The ideal candidate brings deep experience in healthcare data ecosystems, strong technical expertise in Azure-based data platforms, and a proven ability to partner with cross-functional teams to deliver client-focused solutions.

Key Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines supporting healthcare data ingestion, transformation, and deliverySources may include claims, EHR/EMR, eligibility, pharmacy, and third-party datasetsDevelop and maintain SQL Server stored procedures that drive core data transformation logic across client-specific and standardized pipelinesImplement complex transformation logic using T-SQL, including mapping, validation, aggregation, and data standardizationOptimize performance of SQL queries, stored procedures, and ETL processes to ensure efficient large-scale data processingDevelop and optimize data solutions within Azure (Data Factory, Synapse, Data Lake, SQL, Databricks)Lead efforts in data onboarding and implementation, ensuring timely and accurate client data integrationPartner closely with Professional Services, Product, DevOps, and Analytics teams to gather requirements and deliver data solutionsEnsure data quality, integrity, and validation, including reconciliation and audit processes for healthcare datasetsImplement and maintain data governance and compliance standards, including HIPAA and PHI handling requirementsDesign and document data models, mappings, and transformation logic for standardized and reusable data assetsSupport troubleshooting and resolution of data pipeline failures, performance issues, and client-impacting defectsContribute to process improvement initiatives to streamline onboarding, reduce implementation timelines, and enhance data reliabilityMentor junior team members and promote best practices in data engineering and documentation

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)5+ years of experience in data engineering, preferably within healthcare or regulated data environmentsStrong proficiency in SQL and T-SQL, with hands-on experience building complex stored procedures and data transformationsExperience with SQL Server performance tuning, query optimization, and indexing strategiesStrong Python (or similar programming language) skillsHands-on experience with Azure data services (e.g., Data Factory, Synapse, Azure SQL, Blob Storage/Data Lake)Experience designing and managing ETL/ELT workflows and data pipelinesSolid understanding of healthcare data structures (claims, encounters, provider, member, etc.)Experience with data warehousing and modeling (star schema, dimensional modeling)Familiarity with DevOps practices, CI/CD pipelines, and version control (Git)

Preferred Qualifications

Experience with healthcare analytics domains such as Risk Adjustment, Quality Measures, or Value-Based CareKnowledge of FHIR, HL7, or other healthcare interoperability standardsExperience with big data frameworks (e.g., Spark, Databricks)Exposure to Power BI or other BI/visualization toolsExperience supporting client-facing implementations or onboarding projects

Key Skills

Strong analytical and problem-solving skills with attention to data accuracyAbility to translate complex healthcare data requirements into scalable solutionsExcellent communication skills, with the ability to work across technical and non-technical stakeholdersHighly organized with the ability to manage multiple priorities and deadlines

What Success Looks Like

Successful, on-time delivery of client data onboarding and implementationsHigh-performing, reliable data pipelines with strong data quality controlsEfficient, well-optimized SQL processes supporting large-scale healthcare datasetsScalable, reusable data solutions supporting multiple healthcare clientsImproved time-to-value for clients through streamlined processes and automation

Strong collaboration across teams, with clear ownership and accountability

Benefits

Veradigm believes in empowering our associates with the tools and flexibility to bring the best version of themselves to work. Through our generous benefits package with an emphasis on work/life balance, we give our employees the opportunity to allow their careers to flourish.

Quarterly Company-Wide Recharge DaysFlexible Work Environment (Hybrid)Peer-based incentive “Cheer” awardsTuition Reimbursement Program

To know more about the benefits and culture at Veradigm, please visit the links mentioned below: -

https://veradigm.com/about-veradigm/careers/benefits/

https://veradigm.com/about-veradigm/careers/culture/

Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce.

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