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Remote Python Developer Graduate Jobs in Washington

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 ...

Overview Black Canyon Consulting (BCC) is searching for a Software Developer in Bioinformatics and ... This opportunity is full time and onsite at the NIH in Bethesda, MD and/or remote work. We attract ...

Software/AI Developer & DevSecOps Engineer. R&D Location: United States Work Model: Remote ... Strong software development experience, particularly with Python. * Experience building backend ...

... DevOps. * Security+ or cloud certifications preferred. * Python Institute certification, such as PCEP, PCAP, or PCPP, strongly preferred. Work Environment & Schedule * Full-time remote role based in ...

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable ...

Sr. Software Engineer

Bethesda, MD · On-site +1

$131K - $172K/yr

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable ...

Showing results 21-40

Remote Python Developer Graduate information

What is a remote Python developer graduate?

A Remote Python Developer Graduate is an entry-level software developer who specializes in programming with Python and works remotely, often from home or another location outside a traditional office. These graduates typically have recently completed a degree or coursework in computer science or a related field and are beginning their careers in software development. Their responsibilities usually include writing and testing Python code, collaborating with teams online, fixing bugs, and learning new technologies and best practices. Remote work enables them to contribute to projects from anywhere, requiring good communication and self-management skills.

What are the key skills and qualifications needed to thrive as a remote Python developer graduate?

To thrive as a Remote Python Developer Graduate, you need a solid understanding of Python programming, basic software engineering principles, and ideally a relevant degree or certification. Familiarity with version control systems like Git, development environments such as PyCharm or VS Code, and frameworks like Django or Flask is typically expected. Strong problem-solving skills, self-motivation, and effective written communication are crucial soft skills for remote collaboration. These skills ensure the ability to deliver high-quality code independently, adapt to remote team workflows, and contribute effectively to software projects.

What are the common challenges faced by remote Python developer graduates when starting their careers, and how can they overcome them?

As a Remote Python Developer Graduate, you may encounter challenges such as effective communication across different time zones, managing your workload independently, and bridging the gap between academic knowledge and real-world coding practices. To overcome these, it’s important to proactively participate in team meetings, regularly seek feedback from mentors, and leverage collaborative tools like version control and project management software. Additionally, dedicating time to continuous learning and real-world coding exercises can help you quickly adapt to industry standards and expectations.

What is the difference between Remote Python Developer Graduate vs Remote Data Analyst Graduate?

AspectRemote Python Developer GraduateRemote Data Analyst Graduate
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Statistics, Mathematics, or related field, data analysis skills
Work EnvironmentTech companies, startups, software development teamsBusiness, finance, marketing departments, data-driven organizations
Industry UsageSoftware development, tech industry, IT servicesFinance, marketing, consulting, healthcare
Common Search/ComparisonYesYes

Remote Python Developer Graduates typically focus on coding, software development, and programming in Python, often working in tech companies. Remote Data Analyst Graduates analyze data, create reports, and support decision-making in various industries. While both roles require analytical skills and a bachelor's degree, Python developers emphasize coding skills, whereas data analysts focus on data interpretation. The choice depends on your interest in programming versus data analysis.

What are popular job titles related to Remote Python Developer Graduate jobs in Washington?

For Remote Python Developer Graduate jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Python Developer Graduate jobs in Washington look for?

The top searched job categories for Remote Python Developer Graduate jobs in Washington are:

Infographic showing various Remote Python Developer Graduate job openings in Washington as of July 2026, with employment types broken down into 82% Full Time, 5% Part Time, 1% Temporary, and 12% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Senior SAS/Python Programmer

Bethesda, MD • On-site, Remote

Econometrica
Scientific Research and Development Services • 51 - 200 employees

Full-time

Medical, Dental, Vision, Retirement

Posted 16 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.