SAS Viya Engineer

Analytica • Washington, DC

3d

About The Position

We are seeking a SAS Viya Engineer/Developer to design, build, and manage data pipelines, analytics workflows, and data engineering processes using SAS Viya. This role focuses on transforming and governing data, implementing DataOps practices, and optimizing legacy workloads while enabling high-performance analytics through distributed processing.

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

Requirements

• 5+ years of experience in data engineering, analytics engineering, or SAS platform development
• Hands-on experience working within SAS Viya environments
• Experience supporting enterprise or mission-critical data platforms
• Strong experience with SAS Viya and CAS distributed computing architecture
• Experience designing ETL/ELT pipelines for big data environments
• Understanding of DataOps principles and automation for data quality and governance
• Experience with data lineage, access controls, and data cataloging
• Integration experience with SQL databases and Apache Spark
• Experience optimizing and migrating legacy SAS workloads
• Must Be US Citizen with ability to obtain Public Trust Clearance

Nice To Haves

• SAS Certified Specialist: Administration of SAS Viya

Responsibilities

• Design and manage data pipelines and analytics workflows using SAS Viya
• Build, schedule, and execute complex ETL/ELT processes for large-scale data
• Prepare, transform, and govern data across the SAS data lifecycle
• Implement DataOps practices including automated data scanning, profiling, and quality checks
• Utilize CAS distributed computing for parallel data processing and performance optimization
• Manage data access, lineage, and cataloging to support data governance
• Integrate SAS Viya with external sources (SQL databases, Spark, and big data platforms)
• Migrate and optimize legacy SAS jobs into the SAS Viya lifecycle
• Collaborate with developers and stakeholders to improve data workflows and performance

Benefits

• competitive compensation
• opportunities for bonuses
• employer-paid health care
• training and development funds
• 401k match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed