Analytica

SAS Viya Engineer

Remote
SAS Viya SQL Apache Spark
Description

SAS Viya Engineer

Location: Remote

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.   

Key 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
Minimum Qualifications:
  • 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 
Preferred Certification: 
  • SAS Certified Specialist: Administration of SAS Viya

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S.  Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 

 

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Analytica
Analytica

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