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Econometrica

Senior SAS/Python Programmer

Bethesda, MD · On-site +1

Job Title Senior SAS/Python Programmer Job Type Full-time Location Bethesda Office - Bethesda, MD 20814 US (Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is ...

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As of Sep 8, 2026, the average hourly pay for sas python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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A SAS Python job typically involves using both SAS (Statistical Analysis System) and Python for data analysis, statistical modeling, or data engineering tasks. Professionals in this role work with large datasets, performing data manipulation, visualization, and predictive modeling. They often bridge legacy SAS systems with modern Python-based analytics, leveraging libraries like pandas, NumPy, and scikit-learn. These roles are common in industries such as finance, healthcare, and marketing, where data-driven decision-making is crucial.

What do SAS Python professionals do?

Professionals in Sas Python positions often work on projects involving data extraction, transformation, and analysis to support business intelligence, reporting, or predictive modeling efforts. Assignments may include writing and optimizing code in SAS to process large datasets, integrating SAS outputs with Python scripts for advanced analytics, or building custom data pipelines and visualizations. Collaboration is frequent with data scientists, business analysts, and IT teams to ensure insights are aligned with organizational goals. This diverse project exposure offers opportunities to continuously expand your skills and make a measurable impact on business outcomes.

What are the key skills and qualifications needed for a SAS Python role?

To thrive in a Sas Python role, candidates need strong programming skills in both SAS and Python, coupled with a background in data analysis, statistics, or a related quantitative field. Familiarity with data visualization tools, SQL databases, and certifications such as SAS Base Programmer or Python programming are commonly expected. Strong analytical thinking, problem-solving, and effective communication skills help professionals explain technical insights to non-technical stakeholders. These abilities are critical for efficiently managing and interpreting large datasets to drive informed business decisions.

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Infographic showing various Sas Python job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 88% Full Time, 4% Part Time, and 5% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Senior SAS/Python Programmer

Bethesda, MD • On-site, Remote

Econometrica
Scientific Research and Development Services • 51 - 200 employees
Learn more about Econometricaexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Job Title
Senior SAS/Python Programmer
Job Type
Full-time
Location
Bethesda Office - Bethesda, MD 20814 US (Primary)
Remote (Virtual) - US - US
Travel
Job Description
About Econometrica, Inc.
Econometrica, Inc., is a research and management organization committed to providing high-quality, cost-effective economic and analytical services for clients in the private and public sectors. Since its founding in 1998, Econometrica has been involved in complex, high-profile contracts for numerous Federal departments and agencies in the healthcare, education, transportation, energy, housing, and finance sectors. Econometrica specializes in research, econometric, analytical, and technical support for our clients, with an emphasis on data science, data analytics, statistics, economic analyses, and program implementation and evaluation services.
The Opportunity
Econometrica is seeking a Senior Programmer to lead the AI-assisted conversion of large legacy SAS codebases into modern SQL- and Python-based cloud computing environments. This is a hands-on engineering role for someone who is genuinely fluent in both languages: the ideal candidate can read a 3,000-line SAS macro with nested %DO loops, PROC SQL pass-through, and multi-level formats and understand what the equivalent, maintainable Python or SQL implementation should look like.
The selected candidate will use large language models (LLMs) and generative AI tooling as a force multiplier - not as a black box. A central responsibility of this role is designing the workflow that makes AI-assisted conversion trustworthy: decomposing legacy code into translatable units, engineering prompts and context that produce correct output, and building the automated validation harnesses that prove the converted code reproduces the original results to the row and to the decimal. The candidate will work alongside a multidisciplinary team of statistical programmers, data engineers, data scientists, and client stakeholders, and will help establish the conversion patterns, standards, and documentation that subsequent modernization projects reuse.
Tasks may include the following:
  • Assessing and inventorying existing SAS code bases-including DATA steps, PROC SQL, macros, arrays, formats, and complex conditional logic-to determine business logic, data lineage, dependencies, and modernization priorities.
  • Designing, prompting, and iterating on LLM-based conversion workflows to re-engineer SAS programs for Python- and SQL-based cloud environments while avoiding literal "SAS-in-Python" anti-patterns and applying appropriate performance optimizations.
  • Building and running equivalence-testing harnesses that compare legacy SAS output against converted output at scale - row counts, key-level joins, column-by-column value comparison with defined numeric tolerances, distributional checks, and edge-case handling - and documenting every accepted discrepancy with its justification.
  • Refactoring machine-generated code into production-quality, modular pipelines in modern cloud environments, which may include Azure or AWS, and coordinating with the Data Engineering team on orchestration, scheduling, and deployment.
  • Identifying data quality issues surfaced during conversion and developing recommendations on how to resolve them to ensure data completeness, consistency, and accuracy for clients' analytical products.
  • Documenting conversion methodology, mapping logic, validation evidence, and residual risk in a form suitable for client acceptance, audit, and recordkeeping requirements - and preparing plain-language summaries for nontechnical audiences.
  • Mentoring junior SAS and Python programmers on modernization techniques and on the responsible, verified use of AI coding assistants.

Education and Qualifications
Required Skills and Experience:
  • Five (5) or more years of hands-on experience using SAS for data analytics and reporting.
  • Three (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.
  • Three (2) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).
  • Two (2) or more years of hands-on experience conducting advanced data analysis in SQL.
  • Ability to independently investigate and lead to completion programming tasks of high complexity, and to independently conduct quality assurance and troubleshoot coding issues.
  • Ability to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.
  • Ability to obtain and maintain public trust security clearance.

Desired Skills and Experience:
  • SAS Base and Advanced certifications.
  • Certifications in cloud architecture, data engineering, or related disciplines.
  • Demonstrated experience converting, refactoring, or re-platforming legacy analytic code, with a documented approach to validating that modernized outputs match legacy results.
  • Experience with version control (Git) and collaborative development workflows, including code review and documentation.
  • Experience with distributed processing frameworks (e.g., Spark/PySpark) for large-scale data transformation.

Additional requirements for the position could involve occasional travel relevant to the responsibilities noted above.
Education
Master's or doctorate-level degree in data science, computer science, mathematics, or a related field; OR ten (10) years of applied work experience in one of the same fields.
Our Generous Benefits Package Includes:
  • Being part of a dynamic research group that continues to grow.
  • Company-sponsored healthcare plan and optional vision/dental coverage.
  • Excellent training and development opportunities.
  • Referral bonuses.
  • 401(k) program.
  • Organized social activities.
  • Metro SmartBenefits® Program.

Work Environment
This position is remote, though candidates may choose to work in Econometrica's office if they are local.
The office is located at a Metro stop in beautiful downtown Bethesda, MD, within walking distance of great restaurants and local fare. We have a typical office setting with a quiet-to-moderate noise level.
Physical Requirements
The physical requirements are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Other instructions and related duties may be assigned by the employee's supervisor.
Econometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.

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