Sr Data Engineer

Location: Pune, India

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 maintainscalable ETL/ELT pipelinessupporting healthcare data ingestion, transformation, and delivery
• Sources may includeclaims, EHR/EMR, eligibility, pharmacy, and third-party datasets
• Develop and maintainSQL Server stored procedures that drive core data transformation logic across client-specific and standardized pipelines
• Implement complex transformation logic usingT-SQL, including mapping, validation, aggregation, and data standardization
• Optimize performance ofSQL queries, stored procedures, and ETL processesto ensure efficient large-scale data processing
• Develop and optimize data solutions withinAzure (Data Factory, Synapse, Data Lake, SQL, Databricks)
• Lead efforts indata onboarding and implementation, ensuring timely and accurate client data integration
• Partner closely withProfessional Services, Product, DevOps, and Analytics teamsto gather requirements and deliver data solutions
• Ensuredata quality, integrity, and validation, including reconciliation and audit processes for healthcare datasets
• Implement and maintaindata governance and compliance standards, including HIPAA and PHI handling requirements
• Design and documentdata models, mappings, and transformation logicfor standardized and reusable data assets
• Support troubleshooting and resolution ofdata pipeline failures, performance issues, and client-impacting defects
• Contribute toprocess improvement initiativesto streamline onboarding, reduce implementation timelines, and enhance data reliability
• Mentor junior team members and promotebest 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 indata engineering, preferably withinhealthcare or regulated data environments
• Strong proficiency inSQL and T-SQL, with hands-on experience building complex stored procedures and data transformations
• Experience withSQL Server performance tuning, query optimization, and indexing strategies
• Strong Python (or similar programming language) skills
• Hands-on experience withAzure data services(e.g., Data Factory, Synapse, Azure SQL, Blob Storage/Data Lake)
• Experience designing and managingETL/ELT workflows and data pipelines
• Solid understanding ofhealthcare data structures(claims, encounters, provider, member, etc.)
• Experience withdata warehousing and modeling(star schema, dimensional modeling)
• Familiarity withDevOps practices, CI/CD pipelines, and version control (Git)

Preferred Qualifications

Experience withhealthcare analytics domainssuch as Risk Adjustment, Quality Measures, or Value-Based Care

Knowledge ofFHIR, HL7, or other healthcare interoperability standards

Experience withbig data frameworks(e.g., Spark, Databricks)

Exposure toPower BI or other BI/visualization tools

Experience supportingclient-facing implementations or onboarding projects

Key Skills

• Strong analytical and problem-solving skills with attention to data accuracy
• Ability to translate complex healthcare data requirements into scalable solutions
• Excellent communication skills, with the ability to work across technical and non-technical stakeholders
• Highly organized with the ability to manage multiple priorities and deadlines

What Success Looks Like

• Successful, on-time delivery ofclient data onboarding and implementations
• High-performing, reliabledata pipelines with strong data quality controls
• Efficient, well-optimized SQL processes supporting large-scale healthcare datasets
• Scalable, reusable data solutions supporting multiple healthcare clients
• Improvedtime-to-value for clientsthrough 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.

Flexible Work Environment (Hybrid)

Peer-based incentive “Cheer” awards

Tuition 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.
• Thank you for reviewing this opportunity! Does this look like a great match for your skill set? If so, please scroll down and tell us more about yourself!

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 Days

Flexible Work Environment (Hybrid)

Peer-based incentive “Cheer” awards

Tuition 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/

#LI-SL1 #LI-Hybrid

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

Thank you for reviewing this opportunity! Does this look like a great match for your skill set? If so, please scroll down and tell us more about yourself!