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Remote Sas R Python Jobs in Washington, DC (NOW HIRING)

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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VENESCO, LLC

SAS Programmer

Falls Church, VA · On-site +1

Remote/Hybrid Job Type: Full-Time Position Overview: Venesco is seeking a skilled SAS Programmer to ... Experience supporting FDA submissions Knowledge of Python

Progress

Senior Principal Consultant

Odenton, MD · Remote

Analytics tools like SAS, R, Python libraries such as Pandas, NumPy, scikit-learn, and other advanced statistical software. * Applied experience building and deploying ML/DL solutions, including LLM ...

Progress

Senior Principal Consultant

Odenton, MD · Remote

Analytics tools like SAS, R, Python libraries such as Pandas, NumPy, scikit-learn, and other advanced statistical software. * Applied experience building and deploying ML/DL solutions, including LLM ...

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How much do remote sas r python jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote sas r python in Washington, DC is $61.30, according to ZipRecruiter salary data. Most workers in this role earn between $57.16 and $67.79 per hour, depending on experience, location, and employer.

What is the difference between Remote Sas R Python vs Remote Data Analyst?

AspectRemote Sas R PythonRemote Data Analyst
Required SkillsSAS, R, Python, data manipulationExcel, SQL, data visualization, basic statistical analysis
CertificationsSAS certifications, R/Python proficiencyNone mandatory, often preferred certifications in Excel or SQL
Work EnvironmentData analysis, statistical modeling, programmingData interpretation, reporting, visualization
Industry UsageHealthcare, finance, pharmaceuticalsBusiness, marketing, finance

Remote Sas R Python roles focus on advanced statistical programming and data modeling using SAS, R, and Python, often in specialized industries. Remote Data Analysts handle data interpretation, reporting, and visualization, typically requiring skills in Excel and SQL. While both roles involve data work, Sas R Python positions demand programming expertise, whereas Data Analysts focus more on data presentation and insights.

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For Remote Sas R Python jobs in Washington, DC, the most frequently searched job titles are:

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The top searched job categories for Remote Sas R Python jobs in Washington, DC are:

Remote Sas R Python jobs near you

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 3 days ago

New

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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