Job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world. Position Title : SR Azure Data Engineer We are looking for an experienced technical lead with strong Azure Databricks Engineer expertise and twelve to fourteen years of overall experience to drive enterprise scale data engineering initiatives. The role focuses on designing optimizing and governing analytics solutions that enable payer domain stakeholders to make better decisions and deliver improved outcomes for members and communities. R esponsibilities • Design scalable Databricks based data engineering solutions that enable reliable ingestion transformation and consumption of large structured and unstructured datasets for analytics and reporting across the organization • Drive end to end implementation of Databricks workflows by defining robust notebooks jobs clusters and data pipelines that meet performance reliability and security requirements in a hybrid work environment • Collaborate closely with data architects product owners and business analysts to translate complex payer domain needs into actionable Databricks solutions that improve operational efficiency and member experience • Optimize Databricks runtime configurations storage formats and query patterns to reduce compute costs accelerate processing times and ensure efficient use of cloud resources • Implement rigorous coding standards testing practices and version control for Databricks notebooks and utilities to maintain high quality reusable and maintainable data engineering assets • Guide teams in adopting best practices for Delta Lake data modeling data partitioning and incremental processing so that downstream analytics and machine learning workloads operate with trusted and timely data • Coordinate with data governance and compliance stakeholders to enforce robust access controls lineage tracking and data quality checks within Databricks ensuring adherence to healthcare and payer regulatory expectations • Troubleshoot complex data pipeline issues by analyzing logs metrics and data anomalies in Databricks and drive root cause resolution that minimizes business disruption and improves system resilience • Mentor cross functional team members on Databricks features and modern data engineering techniques fostering a culture of continuous improvement and knowledge sharing across the enterprise • Collaborate with reporting and analytics teams to design semantic views and performant tables in Databricks that power self service insights for payer operations finance and care management functions • Evaluate new Databricks capabilities and related data engineering tools and propose pragmatic adoption strategies that align with enterprise architecture and deliver measurable business value • Coordinate hybrid work practices by maintaining efficient communication documentation and collaboration routines ensuring smooth project delivery without travel requirements • Contribute to organizational purpose by enabling data driven decisions that enhance payer program transparency reduce waste and improve health outcomes for members and communities Qualifications • Possess twelve to fourteen years of progressive experience in data engineering or analytics with several years focused on driving complex initiatives using Databricks in large enterprises • Demonstrate advanced proficiency in Databricks notebooks jobs clusters and Delta Lake including experience with performance tuning optimization and cost management for production workloads • Exhibit strong skills in designing data models data pipelines and batch or near real time processing patterns using Databricks along with common programming languages such as Python or SQL • Show familiarity with payer or broader healthcare data domains including claims eligibility and provider information enabling more relevant solution design and stakeholder communication • Apply solid understanding of data governance security controls and regulatory considerations within healthcare and payer environments when designing and operating Databricks solutions • Illustrate ability to work effectively in hybrid teams using collaborative tools and structured communication practices to manage requirements documentation and delivery milestones without travel • Display strong problem solving and analytical capabilities with a focus on measurable outcomes such as improved data quality reduced processing time and better decision support for business partners Application Accepted: 10/15/2026 The annual salary for this position is between $100,000 - $130,000 depending on experience and other qualifications of the successful candidate. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: · Medical/Dental/Vision/Life Insurance · Paid holidays plus Paid Time Off · 401(k) plan and contributions · Long-term/Short-term Disability · Paid Parental Leave · Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable language Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration. If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you! #LI-AV1#CB#Ind123 Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India. About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Requirements

Must-haves

Position Title : SR Azure Data Engineer
R esponsibilities
Design scalable Databricks based data engineering solutions that enable reliable ingestion transformation and consumption of large structured and unstructured datasets for analytics and reporting across the organization
Drive end to end implementation of Databricks workflows by defining robust notebooks jobs clusters and data pipelines that meet performance reliability and security requirements in a hybrid work environment
Collaborate closely with data architects product owners and business analysts to translate complex payer domain needs into actionable Databricks solutions that improve operational efficiency and member experience
Optimize Databricks runtime configurations storage formats and query patterns to reduce compute costs accelerate processing times and ensure efficient use of cloud resources
Implement rigorous coding standards testing practices and version control for Databricks notebooks and utilities to maintain high quality reusable and maintainable data engineering assets
Guide teams in adopting best practices for Delta Lake data modeling data partitioning and incremental processing so that downstream analytics and machine learning workloads operate with trusted and timely data
Coordinate with data governance and compliance stakeholders to enforce robust access controls lineage tracking and data quality checks within Databricks ensuring adherence to healthcare and payer regulatory expectations
Troubleshoot complex data pipeline issues by analyzing logs metrics and data anomalies in Databricks and drive root cause resolution that minimizes business disruption and improves system resilience
Mentor cross functional team members on Databricks features and modern data engineering techniques fostering a culture of continuous improvement and knowledge sharing across the enterprise
Collaborate with reporting and analytics teams to design semantic views and performant tables in Databricks that power self service insights for payer operations finance and care management functions
Evaluate new Databricks capabilities and related data engineering tools and propose pragmatic adoption strategies that align with enterprise architecture and deliver measurable business value
Coordinate hybrid work practices by maintaining efficient communication documentation and collaboration routines ensuring smooth project delivery without travel requirements
Contribute to organizational purpose by enabling data driven decisions that enhance payer program transparency reduce waste and improve health outcomes for members and communities
Possess twelve to fourteen years of progressive experience in data engineering or analytics with several years focused on driving complex initiatives using Databricks in large enterprises
Demonstrate advanced proficiency in Databricks notebooks jobs clusters and Delta Lake including experience with performance tuning optimization and cost management for production workloads
Exhibit strong skills in designing data models data pipelines and batch or near real time processing patterns using Databricks along with common programming languages such as Python or SQL
Show familiarity with payer or broader healthcare data domains including claims eligibility and provider information enabling more relevant solution design and stakeholder communication
Apply solid understanding of data governance security controls and regulatory considerations within healthcare and payer environments when designing and operating Databricks solutions
Illustrate ability to work effectively in hybrid teams using collaborative tools and structured communication practices to manage requirements documentation and delivery milestones without travel
Display strong problem solving and analytical capabilities with a focus on measurable outcomes such as improved data quality reduced processing time and better decision support for business partners
Application Accepted: 10/15/2026
The annual salary for this position is between $100,000 - $130,000 depending on experience and other qualifications of the successful candidate.

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Keywords to mirror

azuremachine learningpythonsqlai

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave