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 09, 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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
