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 delivery

Sources may include claims, EHR/EMR, eligibility, pharmacy, and third-party datasets

Develop and maintain SQL Server stored procedures that drive core data transformation logic across client-specific and standardized pipelines

Implement complex transformation logic using T-SQL, including mapping, validation, aggregation, and data standardization

Optimize performance of SQL queries, stored procedures, and ETL processes to ensure efficient large-scale data processing

Develop 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 integration

Partner closely with Professional Services, Product, DevOps, and Analytics teams to gather requirements and deliver data solutions

Ensure data quality, integrity, and validation, including reconciliation and audit processes for healthcare datasets

Implement and maintain data governance and compliance standards, including HIPAA and PHI handling requirements

Design and document data models, mappings, and transformation logic for standardized and reusable data assets





Support troubleshooting and resolution of data pipeline failures, performance issues, and client-impacting defects

Contribute to process improvement initiatives to streamline onboarding, reduce implementation timelines, and enhance data reliability

Mentor 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 environments

Strong proficiency in SQL and T-SQL, with hands-on experience building complex stored procedures and data transformations

Experience with SQL Server performance tuning, query optimization, and indexing strategies

Strong Python (or similar programming language) skills

Hands-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 pipelines

Solid 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 Care

Knowledge of FHIR, HL7, or other healthcare interoperability standards

Experience with big data frameworks (e.g., Spark, Databricks)

Exposure to Power BI or other BI/visualization tools





Experience supporting client-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 of client data onboarding and implementations

High-performing, reliable data pipelines with strong data quality controls

Efficient, well-optimized SQL processes supporting large-scale healthcare datasets

Scalable, reusable data solutions supporting multiple healthcare clients

Improved time-to-value for clients through streamlined processes and automation

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

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📌 Sr Data Engineer (Pune)
🏢 Veradigm
📍 Pune