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Sr Azure Data Engineer- Onsite

Cognizant

Software and Technology Jobs

Sr Azure Data Engineer- Onsite

full-timePosted: Dec 7, 2025

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.

This position does not offer visa sponsorship; only candidates who are visa-independent are eligible to apply.

Job Title: Azure Data Engineer (Databricks, Synapse, PySpark, ADF)

Location: United States
Employment Type: Full-time

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.

About the Role

We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, Azure Synapse Analytics, PySpark, and Azure Data Factory (ADF). This role involves designing and implementing scalable data solutions on Azure, enabling advanced analytics and business intelligence for enterprise clients.

Key Responsibilities

  • Design and develop data pipelines using Azure Data Factory (ADF) and Databricks for ETL/ELT processes.
  • Implement data transformation and processing using PySpark within Databricks.
  • Build and optimize data models in Azure Synapse Analytics for reporting and analytics.
  • Collaborate with business and technical teams to gather requirements and deliver robust data solutions.
  • Ensure data quality, security, and compliance across all data processes.
  • Optimize performance of data pipelines and queries for large-scale datasets.
  • Troubleshoot and resolve issues related to data ingestion, transformation, and storage.
  • Document technical designs, workflows, and best practices.

Required Skills & Experience

  • 5+ years of experience in data engineering with strong Azure expertise.
  • Hands-on experience with Azure Databricks for big data processing.
  • Proficiency in PySpark for data transformation and analytics.
  • Strong knowledge of Azure Synapse Analytics for data warehousing and modeling.
  • Experience in building ETL/ELT pipelines using Azure Data Factory (ADF).
  • Solid understanding of SQL and performance tuning for large datasets.
  • Familiarity with Azure security and governance best practices.
  • Excellent communication and problem-solving skills.

Preferred Qualifications

  • Experience with Delta Lake, Azure DevOps, and CI/CD for data solutions.
  • Knowledge of data lake architecture and data governance frameworks.
  • Exposure to Power BI or other visualization tools.

Why Join Us?

  • Work on cutting-edge Azure data technologies in a dynamic environment.
  • Opportunity to design and implement enterprise-scale data solutions.
  • Collaborative team culture with focus on innovation and growth.

Work model:

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in United states. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Application Accepted: 12/05/2025

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

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 law.

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

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

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.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
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.

About the Role/Company

  • Cognizant is a leading provider of information technology, consulting, and business process outsourcing services
  • Headquartered in Teaneck, New Jersey (U.S.)
  • Member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500
  • Among the top performing and fastest growing companies in the world
  • Cognizant is a global community with more than 300,000 associates around the world
  • Cognizant helps clients lead with digital at www.cognizant.com
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Design and develop data pipelines using Azure Data Factory (ADF) and Databricks for ETL/ELT processes
  • Implement data transformation and processing using PySpark within Databricks
  • Build and optimize data models in Azure Synapse Analytics for reporting and analytics
  • Collaborate with business and technical teams to gather requirements and deliver robust data solutions
  • Ensure data quality, security, and compliance across all data processes
  • Optimize performance of data pipelines and queries for large-scale datasets
  • Troubleshoot and resolve issues related to data ingestion, transformation, and storage
  • Document technical designs, workflows, and best practices

Required Qualifications

  • + years of experience in data engineering with strong Azure expertise
  • Hands-on experience with Azure Databricks for big data processing
  • Proficiency in PySpark for data transformation and analytics
  • Strong knowledge of Azure Synapse Analytics for data warehousing and modeling
  • Experience in building ETL/ELT pipelines using Azure Data Factory (ADF)
  • Solid understanding of SQL and performance tuning for large datasets
  • Familiarity with Azure security and governance best practices
  • Excellent communication and problem-solving skills

Preferred Qualifications

  • Experience with Delta Lake, Azure DevOps, and CI/CD for data solutions
  • Knowledge of data lake architecture and data governance frameworks
  • Exposure to Power BI or other visualization tools

Skills Required

  • Azure Data Factory (ADF)
  • Azure Databricks
  • PySpark
  • Azure Synapse Analytics
  • SQL
  • Performance tuning
  • Azure security and governance
  • Communication
  • Problem-solving

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • This position does not offer visa sponsorship; only candidates who are visa-independent are eligible to apply
  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Azure Data Factory (ADF)intermediate
  • Azure Databricksintermediate
  • PySparkintermediate
  • Azure Synapse Analyticsintermediate
  • SQLintermediate
  • Performance tuningintermediate
  • Azure security and governanceintermediate
  • Communicationintermediate
  • Problem-solvingintermediate

Required Qualifications

  • + years of experience in data engineering with strong Azure expertise (experience)
  • Hands-on experience with Azure Databricks for big data processing (experience)
  • Proficiency in PySpark for data transformation and analytics (experience)
  • Strong knowledge of Azure Synapse Analytics for data warehousing and modeling (experience)
  • Experience in building ETL/ELT pipelines using Azure Data Factory (ADF) (experience)
  • Solid understanding of SQL and performance tuning for large datasets (experience)
  • Familiarity with Azure security and governance best practices (experience)
  • Excellent communication and problem-solving skills (experience)

Preferred Qualifications

  • Experience with Delta Lake, Azure DevOps, and CI/CD for data solutions (experience)
  • Knowledge of data lake architecture and data governance frameworks (experience)
  • Exposure to Power BI or other visualization tools (experience)

Responsibilities

  • Design and develop data pipelines using Azure Data Factory (ADF) and Databricks for ETL/ELT processes
  • Implement data transformation and processing using PySpark within Databricks
  • Build and optimize data models in Azure Synapse Analytics for reporting and analytics
  • Collaborate with business and technical teams to gather requirements and deliver robust data solutions
  • Ensure data quality, security, and compliance across all data processes
  • Optimize performance of data pipelines and queries for large-scale datasets
  • Troubleshoot and resolve issues related to data ingestion, transformation, and storage
  • Document technical designs, workflows, and best practices

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

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Cognizant logo

Sr Azure Data Engineer- Onsite

Cognizant

Software and Technology Jobs

Sr Azure Data Engineer- Onsite

full-timePosted: Dec 7, 2025

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.

This position does not offer visa sponsorship; only candidates who are visa-independent are eligible to apply.

Job Title: Azure Data Engineer (Databricks, Synapse, PySpark, ADF)

Location: United States
Employment Type: Full-time

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.

About the Role

We are seeking an experienced Azure Data Engineer with strong expertise in Azure Databricks, Azure Synapse Analytics, PySpark, and Azure Data Factory (ADF). This role involves designing and implementing scalable data solutions on Azure, enabling advanced analytics and business intelligence for enterprise clients.

Key Responsibilities

  • Design and develop data pipelines using Azure Data Factory (ADF) and Databricks for ETL/ELT processes.
  • Implement data transformation and processing using PySpark within Databricks.
  • Build and optimize data models in Azure Synapse Analytics for reporting and analytics.
  • Collaborate with business and technical teams to gather requirements and deliver robust data solutions.
  • Ensure data quality, security, and compliance across all data processes.
  • Optimize performance of data pipelines and queries for large-scale datasets.
  • Troubleshoot and resolve issues related to data ingestion, transformation, and storage.
  • Document technical designs, workflows, and best practices.

Required Skills & Experience

  • 5+ years of experience in data engineering with strong Azure expertise.
  • Hands-on experience with Azure Databricks for big data processing.
  • Proficiency in PySpark for data transformation and analytics.
  • Strong knowledge of Azure Synapse Analytics for data warehousing and modeling.
  • Experience in building ETL/ELT pipelines using Azure Data Factory (ADF).
  • Solid understanding of SQL and performance tuning for large datasets.
  • Familiarity with Azure security and governance best practices.
  • Excellent communication and problem-solving skills.

Preferred Qualifications

  • Experience with Delta Lake, Azure DevOps, and CI/CD for data solutions.
  • Knowledge of data lake architecture and data governance frameworks.
  • Exposure to Power BI or other visualization tools.

Why Join Us?

  • Work on cutting-edge Azure data technologies in a dynamic environment.
  • Opportunity to design and implement enterprise-scale data solutions.
  • Collaborative team culture with focus on innovation and growth.

Work model:

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in United states. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

Application Accepted: 12/05/2025

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

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 law.

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

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don’t just dream of a better way – we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what’s right.
  • We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

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.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
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.

About the Role/Company

  • Cognizant is a leading provider of information technology, consulting, and business process outsourcing services
  • Headquartered in Teaneck, New Jersey (U.S.)
  • Member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500
  • Among the top performing and fastest growing companies in the world
  • Cognizant is a global community with more than 300,000 associates around the world
  • Cognizant helps clients lead with digital at www.cognizant.com
  • Cognizant is an equal opportunity employer

Key Responsibilities

  • Design and develop data pipelines using Azure Data Factory (ADF) and Databricks for ETL/ELT processes
  • Implement data transformation and processing using PySpark within Databricks
  • Build and optimize data models in Azure Synapse Analytics for reporting and analytics
  • Collaborate with business and technical teams to gather requirements and deliver robust data solutions
  • Ensure data quality, security, and compliance across all data processes
  • Optimize performance of data pipelines and queries for large-scale datasets
  • Troubleshoot and resolve issues related to data ingestion, transformation, and storage
  • Document technical designs, workflows, and best practices

Required Qualifications

  • + years of experience in data engineering with strong Azure expertise
  • Hands-on experience with Azure Databricks for big data processing
  • Proficiency in PySpark for data transformation and analytics
  • Strong knowledge of Azure Synapse Analytics for data warehousing and modeling
  • Experience in building ETL/ELT pipelines using Azure Data Factory (ADF)
  • Solid understanding of SQL and performance tuning for large datasets
  • Familiarity with Azure security and governance best practices
  • Excellent communication and problem-solving skills

Preferred Qualifications

  • Experience with Delta Lake, Azure DevOps, and CI/CD for data solutions
  • Knowledge of data lake architecture and data governance frameworks
  • Exposure to Power BI or other visualization tools

Skills Required

  • Azure Data Factory (ADF)
  • Azure Databricks
  • PySpark
  • Azure Synapse Analytics
  • SQL
  • Performance tuning
  • Azure security and governance
  • Communication
  • Problem-solving

Benefits & Perks

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 01(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Additional Requirements

  • This position does not offer visa sponsorship; only candidates who are visa-independent are eligible to apply
  • Applicants may be required to attend interviews in person or by video conference
  • Candidates may be required to present their current state or government issued ID during each interview

Locations

  • India

Salary

Estimated Salary Rangemedium confidence

800,000 - 1,500,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Azure Data Factory (ADF)intermediate
  • Azure Databricksintermediate
  • PySparkintermediate
  • Azure Synapse Analyticsintermediate
  • SQLintermediate
  • Performance tuningintermediate
  • Azure security and governanceintermediate
  • Communicationintermediate
  • Problem-solvingintermediate

Required Qualifications

  • + years of experience in data engineering with strong Azure expertise (experience)
  • Hands-on experience with Azure Databricks for big data processing (experience)
  • Proficiency in PySpark for data transformation and analytics (experience)
  • Strong knowledge of Azure Synapse Analytics for data warehousing and modeling (experience)
  • Experience in building ETL/ELT pipelines using Azure Data Factory (ADF) (experience)
  • Solid understanding of SQL and performance tuning for large datasets (experience)
  • Familiarity with Azure security and governance best practices (experience)
  • Excellent communication and problem-solving skills (experience)

Preferred Qualifications

  • Experience with Delta Lake, Azure DevOps, and CI/CD for data solutions (experience)
  • Knowledge of data lake architecture and data governance frameworks (experience)
  • Exposure to Power BI or other visualization tools (experience)

Responsibilities

  • Design and develop data pipelines using Azure Data Factory (ADF) and Databricks for ETL/ELT processes
  • Implement data transformation and processing using PySpark within Databricks
  • Build and optimize data models in Azure Synapse Analytics for reporting and analytics
  • Collaborate with business and technical teams to gather requirements and deliver robust data solutions
  • Ensure data quality, security, and compliance across all data processes
  • Optimize performance of data pipelines and queries for large-scale datasets
  • Troubleshoot and resolve issues related to data ingestion, transformation, and storage
  • Document technical designs, workflows, and best practices

Benefits

  • general: Medical/Dental/Vision/Life Insurance
  • general: Paid holidays plus Paid Time Off
  • general: 01(k) plan and contributions
  • general: Long-term/Short-term Disability
  • general: Paid Parental Leave
  • general: Employee Stock Purchase Plan

Target Your Resume for "Sr Azure Data Engineer- Onsite" , Cognizant

Get personalized recommendations to optimize your resume specifically for Sr Azure Data Engineer- Onsite. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Sr Azure Data Engineer- Onsite" , Cognizant

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TechnologyIT ServicesTechnologyConsulting

Answer 10 quick questions to check your fit for Sr Azure Data Engineer- Onsite @ Cognizant.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.