1

Python Pandas Jobs in Washington (NOW HIRING)

Data & Software Engineer

Mclean, VA · On-site +1

$115K - $139K/yr

The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object ...

In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn. * Build CI/CD Tools: gradle, Jenkins, git, Conda, pip ...

Sr Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Indepth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, sci-kit-learn. * Build CI/CD Tools: gradle, Jenkins, git, Conda, pip ...

Implement and maintain data pipeline scripts (Python/Pandas/NumPy) for batch data ingestion, feature store updates, and model scoring batch runs within the IRMS security boundary. Follow and enforce ...

Data Scientist

Arlington, VA · On-site

$98K - $184K/yr

Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. * Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks.

Senior Python Developer

Mclean, VA

$124K - $167K/yr

Candidate should be skilled in pandas and numpy Python libraries. * 2 3 years of experience using Git for source control in a team-based development environment. * 2 3 years of experience with SQL ...

Data Scientist

Washington, DC · On-site

$98K - $184K/yr

Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. * Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks.

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Python Developer with AWS Reston, VA, 3 days onsite in a week Need to go for F2F interview ... Pandas, Boto3, and data processing packages • Proficiency with automated testing using PyTest ...

... Python/Pandas/NumPy) for batch data ingestion, feature store updates, and model scoring batch runs within the IRMS security boundary. • Follow and enforce IRMS boundary data handling procedures ...

... Python/Pandas/NumPy) for batch data ingestion, feature store updates, and model scoring batch runs within the IRMS security boundary. • Follow and enforce IRMS boundary data handling procedures ...

New

next page

Showing results 1-20

Python Pandas information

See Washington salary details

$14

$66

$97

How much do python pandas jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python pandas in Washington 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 are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.

What are the most commonly searched types of Python Pandas jobs in Washington? The most popular types of Python Pandas jobs in Washington are:

Data & Software Engineer

GRVTY

Mclean, VA • On-site, Remote

$115K - $139K/yr

Other

Posted 19 days ago


Job description

What Impact You'll Have

GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You'll Be Owning

GRVTY is seeking a Data & Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA.The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.

Candidate must have experience:

  • Building end-to-end data pipelines leveraging Python
  • Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
  • Containerizing and deploying applications in cloud environments like AWS.
  • Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. 
  • Leveraging industry standard tools for code control (Git, IaaC control, etc.)
  • Working with data catalogs, tracking data lineage  and handling a variety of data formats, including Geospatial.
  • Using Bash scripting for automation and data processing tasks
  • Integrating Al/ML services and models

Responsibilities:

  • Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
  • Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
  • Leverage a background in large-scale data migration or platform modernization efforts
  • Contribute to data engineering documentation, best practices, and design patterns.

What You Must Have

  • Active TS/SCI with Polygraph Clearance
  • Minimum of 5 years' experience with: 
  • Apache Spark & PySpark
  • Advanced Python skills (including Pandas & NumPy)
  • Docker, Podman
  • AWS S3, Lambda & Step functions
  • Apache Iceberg, Airflow, etc.
  • SQL (with Trino)
  • NoSQL, DynamoDB
  • Unity Catalog OSS, Apache Polaris
  • Apache Superset
  • Terraform or CloudFormation
  • OpenLineage
  • H3, PostGIS

#LI-BPJ