SAS Developer
Dynasticx LLC
Dallas, TX
JOB DETAILS
JOB TYPE
Temporary, Contractor, Full-time
SKILLS
Analysis Skills, Automation, Cloud Computing, Computer Programming, Concurrent Versions System (CVS), Data Analysis, Data Management, Data Processing, Data Quality, Data Sets, Data Warehousing, Database Extract Transform and Load (ETL), Enterprise Data Integration, Git, Identify Issues, Information/Data Security (InfoSec), Maintain Compliance, Multiplatform/Cross-Platform, Problem Solving Skills, Python Programming/Scripting Language, Query Optimization, Reconciliation, Regulatory Compliance, SQL (Structured Query Language), Scripting (Scripting Languages), Software Engineering, Source Code/Configuration Management (SCM), Statistical Analysis System (SAS)
LOCATION
Dallas, TX
POSTED
2 days ago
Job Title: SAS Developer (Python & SQL)
Client: CVS
Location: Onsite at Hardford CT and Dallas TX
Job Summary:
We are seeking a skilled SAS Developer with strong Python and SQL expertise to design, develop, and maintain data processing, analytics, and reporting solutions. The role involves working with large datasets, modernizing legacy SAS workloads where required, and supporting data integration across enterprise data platforms.
Key Responsibilities
- Develop, maintain, and optimize SAS programs, macros, and batch processes
- Write and optimize complex SQL queries for data extraction, transformation, and validation
- Develop Python scripts for data processing, automation, and integration with modern data platforms
- Perform data analysis, data validation, and reconciliation across multiple data sources
- Support migration or modernization of SAS workloads to cloud or Python-based frameworks
- Collaborate with data engineers, analysts, and business stakeholders to deliver data solutions
- Troubleshoot production issues and provide ongoing support for SAS jobs and data pipelines
- Ensure adherence to data governance, security, and compliance standards
Required Skills
- Strong hands-on experience in SAS (Base SAS, SAS Macros, SAS SQL)
- Strong SQL development and query optimization experience
- Strong Python programming skills for data processing and automation
- Experience working with large data volumes in enterprise data warehouse environments
- Understanding of ETL/ELT concepts and data pipeline development
- Experience with version control tools like Git
- Strong analytical and problem-solving skills
About the Company
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