OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.
Role Summary
The SAS Analytics Modernization Engineer contributes to the migration of SAS-based analytical environments into modern cloud platforms. This role is responsible for translating, validating, and optimizing SAS code, data pipelines, and statistical models so they perform reliably outside of legacy systems. You’ll play a key role in preserving business-critical analytics while helping move them into a more scalable, cloud-based future.
The Impact You'll Have
This role exists to solve a very real problem: organizations depend on years of SAS-based analytics, but those environments are no longer built for how modern data platforms operate. You’ll help bridge that gap—ensuring that reporting, modeling, and analytical workflows built in SAS continue to function accurately as they are migrated and modernized.
You’ll directly support the transition of SAS-driven reporting, customer analytics, and statistical models into cloud environments like GCP. That includes rewriting and refactoring SAS code, validating outputs against legacy systems, and identifying where logic, data structures, or performance need to be improved. Your work will protect business continuity while enabling more flexible, scalable analytics.
You’ll also work across data engineering, analytics, and data science teams to make sure SAS-based workflows integrate cleanly into broader data ecosystems. This is not just a lift-and-shift role—you’ll help shape how legacy analytics evolves into something more durable.
What You'll Do
Migrate and Refactor SAS Workflows
Translate and migrate SAS 9.4 and SAS Viya code into cloud-based environments, including GCP
Refactor SAS programs, macros, and data steps to align with modern data architectures and performance expectations
Rebuild SAS-driven data pipelines and analytical workflows in ways that are maintainable and scalable
Validate SAS Outputs with Precision
Compare outputs between legacy SAS environments and cloud-based implementations to ensure exact or explainable parity
Perform regression testing across datasets, reporting outputs, and statistical models originally developed in SAS
Identify discrepancies in logic, joins, aggregations, or transformations and resolve them systematically
Support SAS-Based Models and Analytics
Migrate and validate SAS-based statistical models and analytical processes to ensure consistent performance post-migration
Work with data science and analytics teams to preserve model behavior while adapting to new environments
Ensure that SAS-driven business logic remains intact and interpretable after migration
Strengthen Data Integrity and Testing
Develop repeatable validation frameworks for SAS data pipelines and analytical outputs
Implement automated checks and monitoring to detect data or logic issues early
Improve reliability and transparency of SAS-based workflows as they transition to cloud platforms
Collaborate to Modernize SAS Ecosystems
Partner with data engineering, analytics, and platform teams to integrate SAS workflows into broader cloud data environments
Work with business stakeholders to maintain continuity of reporting and analytics during migration
Document SAS logic, transformations, and migration decisions to support long-term maintainability
What You'll Need
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
Strong hands-on experience with SAS 9.4 and/or SAS Viya, including data steps, PROC SQL, macros, and batch processing
Experience migrating or modernizing SAS-based analytical environments
Strong SQL skills and understanding of how SAS interacts with relational data systems
Experience validating SAS outputs, including datasets, reporting, and statistical model results
Deep understanding of data structures, ETL processes, and analytical workflows within SAS environments
Experience troubleshooting discrepancies in SAS code, data transformations, and analytical outputs
Familiarity with cloud data platforms such as GCP, AWS, or Azure
Ability to work across data engineering, analytics, and business teams to support migration and continuity
Strong attention to detail and commitment to data accuracy, reproducibility, and documentation
Ability to clearly explain SAS logic, transformations, and validation results to both technical and non-technical stakeholders
Future-Ready Skills (Nice to Have)
Experience translating SAS workflows into Python, SQL, or cloud-native data processing frameworks
Familiarity with GCP tools such as BigQuery, Cloud Composer, and Vertex AI in SAS migration contexts
Experience building automated validation or testing frameworks for SAS-to-cloud migrations
Exposure to CRM, customer analytics, or marketing data ecosystems built on SAS
Experience optimizing SAS workloads for performance before or during migration
Background in consulting, agency, or enterprise environments with large legacy SAS footprints
Benefits
We believe great work happens when people have the support and flexibility they need to thrive. Our benefits include medical, dental, and vision coverage, a 401(k) retirement plan, paid holidays, and Flexible Time Off (FTO) so you can take time away to recharge when you need it. We also offer additional programs focused on wellness, financial security, and professional growth.
Equal Opportunity Employer
We believe innovative ideas and strong solutions start with different perspectives. OneMagnify is committed to building a workplace where people are respected, supported, and able to do their best work. We are proud to be an equal opportunity employer and welcome applicants from all backgrounds.
We will provide reasonable accommodations to individuals with disabilities throughout the application, interview, and employment process. Please contact us if you need accommodation.
OneMagnify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OneMagnify and has not been reviewed or approved by OneMagnify.
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Parental & Family Support — Parental support is positioned as a defined benefit with six weeks of 100% paid parental leave plus employer-paid short-term disability. Parental leave sentiment is characterized as middling, but the policy itself is clearly specified as part of the package.
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Wellbeing & Lifestyle Benefits — Work flexibility is framed as a meaningful part of the total rewards experience through hybrid/remote options and flexible time off with paid sick leave. Added lifestyle-oriented perks such as volunteer PTO, pet insurance, legal assistance, ERGs, recognition programs, and partner discounts broaden the offering beyond core insurance.
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Flexible Benefits — A broad slate of optional add-ons and programs is described, including tuition reimbursement up to $5,250/year and other elective-style perks. This variety can help different employee needs be met even when base pay competitiveness is seen as only average.
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