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Python Data Developer Jobs in District of Columbia

Varsity Tutors

Python Tutor

Washington, DC · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

RIT Solutions, Inc.

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Responsibilities : • Build and maintain ingestion and transformation pipelines using Python, SQL ... Required : • 3+ years of experience in data engineering or related fields • Strong proficiency ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Experience with Python, SQL, Spark, and PySpark * Experience with data platforms like Databricks ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Experience with Python, SQL, Spark, and PySpark * Experience with data platforms like Databricks ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

RIT Solutions, Inc.

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Responsibilities : • Build and maintain ingestion and transformation pipelines using Python, SQL ... Required : • 3+ years of experience in data engineering or related fields • Strong proficiency ...

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Python experience is a plus. * Develop data ETL pipelines that meets both the functional and non ...

Makpar

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The ideal candidate will design, build, and optimize cloud-based data pipelines using Python, SQL, and modern ETL frameworks while collaborating with analysts and developers to deliver scalable ...

Makpar

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The ideal candidate will design, build, and optimize cloud-based data pipelines using Python, SQL, and modern ETL frameworks while collaborating with analysts and developers to deliver scalable ...

OpenDataJobs

Python Developer

Washington, DC · On-site

$56.75 - $78.25/hr

We are a data and technology innovation hub and a Benefit Corporation working at the center of the ... AI-assisted development as standard practice: tools like Amazon Q Developer, across the whole ...

OpenDataJobs

Python Developer

Washington, DC · On-site

$56.75 - $78.25/hr

We are a data and technology innovation hub and a Benefit Corporation working at the center of the ... AI-assisted development as standard practice: tools like Amazon Q Developer, across the whole ...

Pwc

GenAI Python Systems Engineer-Manager

Washington, DC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

OpenDataJobs

Python Developer

Washington, DC

$57 - $78.50/hr

We are a data and technology innovation hub and a Benefit Corporation working at the center of the ... AI-assisted development as the default way of working, with tools like Amazon Q Developer across ...

Citian

Data Engineering Lead

Washington, DC · On-site

$129K - $155K/yr

You exhibit excellent knowledge of data engineering disciplines, including experience working with large datasets in a Python/SQL environment. You will also have hands-on knowledge of the latest data ...

SMX

Senior Database Developer (5480)

Washington, DC · On-site

$95K - $160K/yr

We are seeking a Senior Cloud Database Developer to serve as the core database authority for the ... Python or Bash for automating database maintenance, monitoring alerts, and data pipeline tasks.

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Python Data Developer information

What is a Python data developer?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python data developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python data developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

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

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are popular job titles related to Python Data Developer jobs in District of Columbia?

For Python Data Developer jobs in District of Columbia, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in District of Columbia look for?

The top searched job categories for Python Data Developer jobs in District of Columbia are:

What cities in District of Columbia are hiring for Python Data Developer jobs?

Cities in District of Columbia with the most Python Data Developer job openings:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in District of Columbia as of June 2026, with employment types broken down into 80% Full Time, 8% Part Time, and 12% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Mid-Level Data Platform Engineer (Python) - Palantir Foundry / with Security Clearance

Potawatomi Federal Solutions, LLC.

Washington, DC • On-site

$129K - $155K/yr

Other

Re-posted 7 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. #ClearanceJobs 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.

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