1

Python Data Developer Jobs in Washington, DC (NOW HIRING)

Data Engineer (TS/SCI)

Reston, VA · On-site

$119K - $143K/yr

... Python and SQL * 1+ years of experience with Agile software development methods in a DevOps environment, including Docker, containers, and Kubernetes * Experience with Python data analytic modeling ...

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation. The ideal ...

Java, Scala, Python Developer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Java, Scala, Python Developer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Java, Scala, Python Developer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Data Engineer

Suitland, MD

$123K - $148K/yr

Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python. * Data Pipeline Development : Design, build, and orchestrate robust and ...

PYTHON DEVELOPER

Reston, VA · On-site

$52.25 - $72/hr

PYTHON DEVELOPER Location: Richmond, VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract ... Data engineering experience would be helpful * Focused on more backend development * Production ...

Showing results 21-40

Python Data Developer information

See Washington, DC salary details

$14

$66

$97

How much do python data developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python data developer in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

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 job categories do people searching Python Data Developer jobs in Washington, DC look for?

The top searched job categories for Python Data Developer jobs in Washington, DC are:

Infographic showing various Python Data Developer job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $138,100 per year, or $66.4 per hour.

Data Engineer - ML Solutions

1872 Consulting

Arlington, VA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
1872 Consulting is a Native American-owned SBA 8(a) management and technology consulting firm focused on delivering solutions for the private and public sector. They are seeking a Data Engineer to work with defense clients, particularly the Navy and Army, to develop new analytical solutions and interface with leadership and national security executives.
Qualifications:
Required:
• Active SECRET Clearance
• Able to qualify for a DoD SECRET Security Clearance
• 2-4 years of Data Engineering experience, ideally focused on data engineering for Client solutions
• 2+ years of experience with Python
• Experience with AWS and/or Azure (we use both)
• Experience with big data tools (Spark/PySpark, MapReduce) and relational databases (e.g., PostgreSQL, SQL Server) and/or NoSQL on distributed platforms (e.g., HBase, Cassandra)
Preferred:
• Experience with Python data science libraries such as Numpy, Pandas or SciPy
• Experience with BI tools such as: Tableau (what we mainly use), Microsoft Power BI, D3, Chart, Plotly, React-vis, Rechart
• Experience in relevant analytical methods serving DoD clients
• Experience with Kubernetes and Docker containers
• Experience with web development (HTML, CSS, JavaScript) and associated frameworks (React, Angular, etc.)
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014