Sr Data Engineer

Francisco Partners; Pune District; On-site; INR 12,393,000 - 18,112,000; Full time

Benefits offered by this job

Quarterly Company-Wide Recharge Days

Flexible Work Environment (Hybrid)

Peer-based incentive “Cheer” awards

Tuition Reimbursement Program

Job summary

Veradigm is seeking a Senior Data Engineer to design, develop, and optimize healthcare data solutions powering analytics, reporting, and client deliverables. You will build scalable ETL/ELT pipelines across clinical, claims, and operational datasets on Azure.

The role emphasizes data quality, governance, and collaboration with cross-functional teams to deliver compliant, high-value data assets for healthcare clients.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5+ years of data engineering experience, preferably in healthcare or regulated 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 skills and hands-on experience with Azure data services.
• 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 Git.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for healthcare data ingestion, transformation, and delivery.
• Develop and maintain SQL Server stored procedures driving core data transformations across client-specific and standardized pipelines.
• Implement complex transformation logic using T-SQL, including mapping, validation, aggregation, and standardization.
• Optimize performance of SQL queries, stored procedures, and ETL processes for large-scale data processing.
• Develop and optimize data solutions within Azure (Data Factory, Synapse, Data Lake, SQL, Databricks).
• Lead data onboarding and implementation to ensure timely, accurate client data integration.
• Collaborate with Professional Services, Product, DevOps, and Analytics to gather requirements and deliver data solutions.
• Ensure data quality, integrity, and validation with reconciliation and audit processes for healthcare datasets.
• Implement data governance and HIPAA/PHI handling standards; document data models and mappings for reusable data assets.
• Support troubleshooting of data pipeline failures and performance issues; contribute to process improvements and mentorship.

Skills

SQL

T-SQL

Python

Data pipelines

Data warehousing

CI/CD

Git

Healthcare data

Education

Bachelor’s degree in Computer Science/Engineering or related field

Tools

Azure Data Factory

Azure Synapse

Azure SQL

Azure Blob Storage/Data Lake

Databricks

SQL Server

Job description

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 domains such 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.

• Quarterly Company-Wide Recharge Days

• Flexible Work Environment (Hybrid)

• Peer-based incentive “Cheer” awards

• Tuition Reimbursement Program

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

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