{"schemaVersion":"jobsearcher.job.v1","id":"9ac54f59b00db79a2df99ee2","url":"https://jobsearcher.com/jobs/9ac54f59b00db79a2df99ee2","canonicalUrl":"https://jobsearcher.com/jobs/9ac54f59b00db79a2df99ee2","title":"Senior SAS/Python Programmer","description":"Job Description:\n\nAbout Econometrica, Inc.\n\nEconometrica, 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.\n\nThe Opportunity\n\nEconometrica 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.\n\nThe 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.\n\nTasks may include the following:\n\nAssessing 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.\nDesigning, 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.\nBuilding 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.\nRefactoring 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.\nIdentifying 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.\nDocumenting 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.\nMentoring junior SAS and Python programmers on modernization techniques and on the responsible, verified use of AI coding assistants.\n\nEducation and Qualifications\n\nRequired Skills and Experience:\n\nFive (5) or more years of hands-on experience using SAS for data analytics and reporting.\nThree (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.\nThree (2) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).\nTwo (2) or more years of hands-on experience conducting advanced data analysis in SQL.\nAbility to independently investigate and lead to completion programming tasks of high complexity, and to independently conduct quality assurance and troubleshoot coding issues.\nAbility to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.\nAbility to obtain and maintain public trust security clearance.\n\nDesired Skills and Experience:\n\nSAS Base and Advanced certifications.\nCertifications in cloud architecture, data engineering, or related disciplines.\nDemonstrated experience converting, refactoring, or re-platforming legacy analytic code, with a documented approach to validating that modernized outputs match legacy results.\nExperience with version control (Git) and collaborative development workflows, including code review and documentation.\nExperience with distributed processing frameworks (e.g., Spark/PySpark) for large-scale data transformation.\n\nAdditional requirements for the position could involve occasional travel relevant to the responsibilities noted above.\n\nEducation\n\nMaster'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.\n\nOur Generous Benefits Package Includes:\n\nBeing part of a dynamic research group that continues to grow.\nCompany-sponsored healthcare plan and optional vision/dental coverage.\nExcellent training and development opportunities.\nReferral bonuses.\n401(k) program.\nOrganized social activities.\nMetro SmartBenefits® Program.\n\nWork Environment\n\nThis position is remote, though candidates may choose to work in Econometrica's office if they are local.\n\nThe 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.\n\nPhysical Requirements\n\nThe 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.\n\nThe 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.\n\nEconometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.","company":"Econometricainc","rawCompany":"econometricainc","city":"Bethesda","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-08-31T10:59:43.442Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior SAS/Python Programmer","description":"Job Description:\n\nAbout Econometrica, Inc.\n\nEconometrica, 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.\n\nThe Opportunity\n\nEconometrica 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.\n\nThe 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.\n\nTasks may include the following:\n\nAssessing 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.\nDesigning, 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.\nBuilding 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.\nRefactoring 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.\nIdentifying 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.\nDocumenting 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.\nMentoring junior SAS and Python programmers on modernization techniques and on the responsible, verified use of AI coding assistants.\n\nEducation and Qualifications\n\nRequired Skills and Experience:\n\nFive (5) or more years of hands-on experience using SAS for data analytics and reporting.\nThree (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.\nThree (2) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).\nTwo (2) or more years of hands-on experience conducting advanced data analysis in SQL.\nAbility to independently investigate and lead to completion programming tasks of high complexity, and to independently conduct quality assurance and troubleshoot coding issues.\nAbility to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.\nAbility to obtain and maintain public trust security clearance.\n\nDesired Skills and Experience:\n\nSAS Base and Advanced certifications.\nCertifications in cloud architecture, data engineering, or related disciplines.\nDemonstrated experience converting, refactoring, or re-platforming legacy analytic code, with a documented approach to validating that modernized outputs match legacy results.\nExperience with version control (Git) and collaborative development workflows, including code review and documentation.\nExperience with distributed processing frameworks (e.g., Spark/PySpark) for large-scale data transformation.\n\nAdditional requirements for the position could involve occasional travel relevant to the responsibilities noted above.\n\nEducation\n\nMaster'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.\n\nOur Generous Benefits Package Includes:\n\nBeing part of a dynamic research group that continues to grow.\nCompany-sponsored healthcare plan and optional vision/dental coverage.\nExcellent training and development opportunities.\nReferral bonuses.\n401(k) program.\nOrganized social activities.\nMetro SmartBenefits® Program.\n\nWork Environment\n\nThis position is remote, though candidates may choose to work in Econometrica's office if they are local.\n\nThe 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.\n\nPhysical Requirements\n\nThe 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.\n\nThe 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.\n\nEconometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.","datePosted":"2026-08-31T10:59:43.442Z","dateModified":"2026-08-31T10:59:43.442Z","hiringOrganization":{"@type":"Organization","name":"Econometricainc","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bethesda","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9ac54f59b00db79a2df99ee2"},"url":"https://jobsearcher.com/jobs/9ac54f59b00db79a2df99ee2"}}