Remote SAS Data Engineer – Migration & Validation

Tech Mirrors; Town of Florida (NY); Remote; USD 120,000 - 160,000; Full time

Job summary

Tech Mirrors is seeking an experienced SAS Migration/Data Engineer for a remote, long-term contract. You will analyze SAS logic, validate migrated outputs, perform data reconciliation, and ensure accuracy, completeness, and functional equivalency across source and target platforms.

The ideal candidate has 7+ years of SAS programming and strong Python/PySpark skills, with experience in SAS Migration, ETL validation, and data quality checks.

Qualifications

• 7+ years of SAS programming experience including DATA Step, PROC SQL, Macros, Datasets, and Job Analysis.
• Strong Python and PySpark skills for data processing, automation, validation, and reconciliation.
• QA experience in SAS Migration, ETL Validation, Source-to-Target Testing, and Data Quality Checks.

Responsibilities

• Analyze SAS programs, jobs, datasets, and business logic to support migration and validation.
• Create and execute QA test scenarios for SAS migration and modernization projects.
• Validate source-to-target outputs for data accuracy, completeness, reconciliation, and functional equivalency.
• Use Python and PySpark for automation, data comparison, profiling, and validation.
• Perform defect analysis, root-cause investigation, and prepare validation reports/status updates.
• Collaborate with data engineering, QA, business, and client stakeholders to resolve discrepancies.

Skills

SAS

Python

PySpark

Databricks

Snowflake

Job description

Tech Mirrors is seeking an experienced SAS Migration/Data Engineer for a remote, long-term contract. You will analyze SAS logic, validate migrated outputs, perform data reconciliation, and ensure accuracy, completeness, and functional equivalency across source and target platforms.

The ideal candidate has 7+ years of SAS programming and strong Python/PySpark skills, with experience in SAS Migration, ETL validation, and data quality checks.