5-7 years of experience in SAS programming and data engineering
Proficiency in Base SAS, SAS Macro Programming, and SAS SQL/PROC SQL
Experience with ETL development and relational databases
Strong background in data warehousing and analytics
Excellent analytical and communication skills
Responsibilities
Develop and enhance SAS programs, macros, and scripts
Design and support ETL processes for data integration
Perform data validation, cleansing, and quality checks
Create reporting and analytical solutions using SAS tools
Collaborate with business stakeholders to gather requirements
Troubleshoot data and application issues effectively
Support testing, code reviews, and maintain technical documentation
Ensure compliance with data governance and security standards
Benefits
Paid time off including vacation, holidays, personal days, and sick leave
Comprehensive medical, dental, and vision coverage
Retirement savings plans such as 401(k) or RRSP
Life and disability insurance
Employee assistance programs
Additional benefits as per local policy and eligibility
Full Job Description
Job Description
Location: Whippany, New Jersey
Key Responsibilities
Develop, maintain, and enhance SAS programs, macros, and scripts
Design and support ETL processes
Perform data validation, cleansing, and quality checks
Create reporting and analytical solutions using SAS tools
Collaborate with business stakeholders to gather requirements
Troubleshoot data and application issues
Support testing, code reviews, and technical documentation
Ensure compliance with data governance and security standards
Required Skills
Base SAS
SAS Macro Programming
SAS SQL / PROC SQL
ETL Development
Relational Databases
Data Warehousing
Reporting & Analytics
Strong analytical and communication skills
Preferred Skills
SAS Enterprise Guide
SAS Viya
SAS Visual Analytics
Cloud Platform Exposure
Agile Methodologies
Job Description - Grade Specific
The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.
The base compensation range for this role in the posted location is:105,000 - 115,000
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility
About Capgemini
Capgemini is a global leader in consulting, digital transformation, technology and engineering services. The company is headquartered in Paris, France and operates in over 50 countries. Capgemini provides a range of services including strategy and transformation, application services, technology services, and engineering services. The company serves clients in a variety of industries including automotive, consumer products, financial services, healthcare, and retail.
