Job description

About the role As a SAS Data Engineer , you will make an impact by supporting large-scale SAS migration and modernization initiatives through data validation, quality assurance, and automation. You will be a valued member of the Data Engineering team and work collaboratively with QA teams, business stakeholders, client partners, and data engineering professionals to ensure successful migration outcomes. In this role, you will: • Analyze SAS programs, jobs, datasets, and business logic to support migration, modernization, and validation activities. • Design and execute test scenarios to validate migrated solutions and ensure functional equivalency between source and target platforms. • Perform data reconciliation and source-to-target validation to ensure data accuracy, completeness, and quality. • Leverage Python and PySpark to automate testing, profiling, validation, and comparison processes across large datasets. • Investigate defects, perform root cause analysis, and collaborate with cross-functional teams to resolve data discrepancies. 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 the United States . Regardless of your working arrangement, we are here to support a healthy work-life balance through 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. What you need to have to be considered • 7+ years of hands-on SAS programming experience, including DATA Step, PROC SQL, macros, datasets, and job analysis. • Strong experience with Python and PySpark for data processing, automation, validation, and reconciliation activities. • Proven experience supporting SAS migration, modernization, or transformation initiatives. • Strong QA and testing expertise, including ETL validation, source-to-target testing, data quality validation, and reconciliation. • Advanced SQL skills with experience querying, profiling, and validating large datasets. • Experience performing defect analysis, root cause investigations, and documenting testing outcomes. • Strong communication and stakeholder management skills, with the ability to collaborate effectively across technical and business teams. These will help you stand out • Experience migrating SAS workloads to modern data platforms using Python, PySpark, or cloud-based technologies. • Exposure to Databricks and/or Snowflake environments. • Experience validating ETL workflows, batch processing systems, and reporting solutions. • Knowledge of Agile delivery methodologies, test management platforms, and defect tracking tools. • Experience creating QA sign-off documentation, validation reports, and audit-ready testing artifacts. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. *Please note, this role is not able to offer visa transfer or sponsorship now or in the future* Salary and Other Compensation: Applications will be accepted until August 30, 2025 The annual salary for this position is between $ 105,000 - $ 120,000 depending on experience and other qualifications of the successful candidate. 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. 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. 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. 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.

Requirements

Must-haves

Analyze SAS programs, jobs, datasets, and business logic to support migration, modernization, and validation activities.
Design and execute test scenarios to validate migrated solutions and ensure functional equivalency between source and target platforms.
Perform data reconciliation and source-to-target validation to ensure data accuracy, completeness, and quality.
Leverage Python and PySpark to automate testing, profiling, validation, and comparison processes across large datasets.
Investigate defects, perform root cause analysis, and collaborate with cross-functional teams to resolve data discrepancies.
What you need to have to be considered
7+ years of hands-on SAS programming experience, including DATA Step, PROC SQL, macros, datasets, and job analysis.
Strong experience with Python and PySpark for data processing, automation, validation, and reconciliation activities.
Proven experience supporting SAS migration, modernization, or transformation initiatives.
Strong QA and testing expertise, including ETL validation, source-to-target testing, data quality validation, and reconciliation.
Advanced SQL skills with experience querying, profiling, and validating large datasets.
Experience performing defect analysis, root cause investigations, and documenting testing outcomes.
Strong communication and stakeholder management skills, with the ability to collaborate effectively across technical and business teams.
These will help you stand out
Experience migrating SAS workloads to modern data platforms using Python, PySpark, or cloud-based technologies.
Exposure to Databricks and/or Snowflake environments.
Experience validating ETL workflows, batch processing systems, and reporting solutions.
Knowledge of Agile delivery methodologies, test management platforms, and defect tracking tools.
Experience creating QA sign-off documentation, validation reports, and audit-ready testing artifacts.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Applications will be accepted until August 30, 2025
The annual salary for this position is between $ 105,000 - $ 120,000 depending on experience and other qualifications of the successful candidate.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Long-term/Short-term Disability

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonrestsqlagileai

Platform: cognizant
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave