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Full Time Python Jobs in Arlington, VA (NOW HIRING)

Senior Software Engineer - Python

Rockville, MD · On-site +1

$124K - $164K/yr

Having extensive Python + Django experience is required. The project is unique as it is a well ... Benefits: * Full-Time position * Competitive salary depending on experience * Medical, dental ...

This opportunity is full time and onsite at the NIH in Bethesda, MD and/or remote work. We attract ... Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems

Showing results 21-40

Full Time Python information

See Arlington, VA salary details

$15

$67

$99

How much do full time python jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for full time python in Arlington, VA is $67.44, according to ZipRecruiter salary data. Most workers in this role earn between $55.58 and $76.59 per hour, depending on experience, location, and employer.

What is the difference between Full Time Python vs Full Time Data Analyst?

AspectFull Time PythonFull Time Data Analyst
Required SkillsPython programming, scripting, data manipulationData analysis, Excel, SQL, visualization tools
Work EnvironmentSoftware development teams, tech companiesBusiness, finance, marketing departments
CertificationsPython certifications, coding bootcampsData analysis certifications, SQL certifications
Industry UsageTech, software, startupsFinance, consulting, retail

Full Time Python roles focus on coding, automation, and software development using Python, often in tech environments. Full Time Data Analyst positions emphasize interpreting data, creating reports, and using tools like Excel and SQL. While both roles require analytical skills, Python developers are more involved in programming, whereas data analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python jobs in Arlington, VA? The most popular types of Python jobs in Arlington, VA are:
What are popular job titles related to Full Time Python jobs in Arlington, VA? For Full Time Python jobs in Arlington, VA, the most frequently searched job titles are:
What job categories do people searching Full Time Python jobs in Arlington, VA look for? The top searched job categories for Full Time Python jobs in Arlington, VA are:
Infographic showing various Full Time Python job openings in Arlington, VA as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $140,278 per year, or $67.4 per hour.

Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support (Secret Clea

Performance Food Service

Washington, DC • On-site

Full-time

Re-posted 26 days ago


Job description

Position Title: Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support
Location: National Capital Region (Remote Eligible)
Job Type: Full Time
Level: Mid-Level Analyst
Clearance: Secret
Job Summary
The Mid-Level Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupiter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications.
Key Responsibilities
Data Pipeline Development:
  • Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupiter platform.
  • Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets.
  • Implement transformation logic to prepare raw datasets for curated data layers and ontology population.

Data Platform Operations:
  • Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring.
  • Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability.
  • Maintain dataset lineage awareness and support platform data integrity practices.

Data Integration and Support:
  • Assist with integrating enterprise system data into the platform environment.
  • Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly.
  • Document pipelines and transformation logic to support maintainability of the platform.

Qualifications
Education:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.

Experience:
  • 4-7 years experience in data engineering or platform engineering roles.
  • Experience developing Python-based data pipelines
  • Experience building ETL/ELT pipelines and data transformation workflows
  • Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments
  • Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred

Skills:
  • Strong Python development skills for data processing and pipeline development
  • Experience with SQL and data transformation frameworks
  • Familiarity with distributed data platforms and large-scale data environments
  • Strong troubleshooting and problem-solving skills in data pipeline operations
  • Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders

Career Level Alignment:
  • Mid-Level Engineer: 4-7 years supporting data platform engineering, pipeline development, and enterprise data integration initiatives.

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Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.