Job Title SAS Data Engineer Location Remote US Work Arrangement Remote Employment Type Contract Duration 28 months Domain Information Technology Data Engineering & Modernization Pay Rate $45.89/hr W2 $55.40/hr C2C Application Deadline August 29 2026 SKILLS REQUIRED Primary (Must-Have) • 7+ years of hands-on SAS programming (DATA step PROC SQL Macros Datasets Job Analysis) • Strong proficiency in Python and PySpark (Data Processing Automation Validation Reconciliation) • Comprehensive QA and ETL Data Migration Validation (Source-to-Target Testing Data Quality Checks) • Advanced SQL skills (Data Profiling Complex Querying Large Dataset Reconciliation) Secondary (Good to Have) • Direct SAS to Python/PySpark platform modernization and migration experience • Exposure to modern cloud data platforms (Databricks Snowflake) • ETL workflow validation batch process testing reporting validation and QA sign-off documentation • Working knowledge of Agile methodologies test management frameworks and defect tracking systems POSITION OVERVIEW The SAS Data Engineer plays a pivotal role in driving data modernization initiatives by supporting SAS-to-cloud migration validation and QA activities. Reporting to the Data Engineering Lead this individual will analyze complex legacy SAS business logic automate target platform validations and perform end-to-end data reconciliation using Python and PySpark. The role directly addresses the critical business need for ensuring complete functional equivalency data accuracy and seamless architectural transition across source and target platforms. ROLES & RESPONSIBILITIES • Analyze legacy SAS programs job schedules datasets and business logic to map out migration requirements and technical dependencies. • Validate source-to-target outputs using Python and PySpark to execute automated data comparison profiling and full-scale reconciliation. • Design build and execute robust QA test scenarios ETL validation scripts and source-to-target test cases for data quality assurance. • Perform complex defect triage root-cause investigation on data discrepancies and compile clear validation reports for key stakeholders. • Collaborate daily with cross-functional data engineering QA business and executive client teams to resolve data issues and secure QA sign-off. BENEFITS Medical Dental Vision 401(k) EEOC Compliance We are an equal opportunity employer and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.