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Python Junior Jobs in Springfield, VA (NOW HIRING)

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ...

Junior Data Scientist

Arlington, VA ยท On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ...

Junior Cloud DevSecOps Engineer AWS & Azure Cloud Security NASA Contractor Program Support About ... Python, or Bash Support secure configuration validation as part of release processes SIEM and Log ...

We are looking for a Junior Network Engineer to interface with our team and our clients to help ... Active US Secret or Top Secret clearance Strong programming skills in Python and/or Bash CCNA and ...

You will serve as a technical anchor for the team-mentoring junior engineers, setting engineering ... Systemic Quality & Code Health Set the bar for clean, readable, maintainable code across the Python ...

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Python Junior information

See Springfield, VA salary details

$25.1K

$92.9K

$143.6K

How much do python junior jobs pay per year?

As of May 30, 2026, the average yearly pay for python junior in Springfield, VA is $92,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $90,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Python Junior, you need a good grasp of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or a related field. Familiarity with version control systems like Git, code editors (e.g., VS Code), and basic understanding of frameworks such as Django or Flask is often expected. Strong communication, willingness to learn, and teamwork are important soft skills that set candidates apart. These skills and qualities are essential for effectively contributing to projects, collaborating with team members, and growing within a technical environment.

What are some common challenges faced by Python Junior developers during their first year on the job?

Python Junior developers often encounter challenges such as understanding large codebases, managing version control with tools like Git, and adapting to team workflows. They may also need to improve their debugging skills and learn to write clean, maintainable code that meets team standards. Regular communication with senior developers and proactively seeking feedback can help overcome these hurdles and accelerate professional growth.

What are Python Juniors?

Python Juniors are entry-level software developers who specialize in using the Python programming language. They typically have foundational knowledge of Python and basic software development principles, and may work on tasks such as writing simple scripts, debugging code, or supporting more experienced developers on larger projects. Python Juniors are often recent graduates or individuals transitioning into software development, and their role offers opportunities to learn and grow their skills in real-world settings.

What is the difference between Python Junior vs Python Developer?

AspectPython JuniorPython Developer
Required CredentialsBasic programming knowledge, often a diploma or bootcampMore experience, often a degree in CS or related field
Work EnvironmentEntry-level projects, supervised tasksFull project responsibilities, collaborative teams
Industry UsageInternships, junior roles in tech companiesMid-level roles across industries like finance, tech, healthcare

The main difference between a Python Junior and a Python Developer lies in experience and responsibilities. Python Juniors typically have basic skills and work under supervision, while Python Developers handle more complex tasks independently. Employers seek Python Juniors for entry-level positions, with opportunities to grow into full Python Developers as skills develop.

What are the most commonly searched types of Python jobs in Springfield, VA? The most popular types of Python jobs in Springfield, VA are:
What are popular job titles related to Python Junior jobs in Springfield, VA? For Python Junior jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Python Junior jobs in Springfield, VA look for? The top searched job categories for Python Junior jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Python Junior jobs? Cities near Springfield, VA with the most Python Junior job openings:
Junior Data Scientist

Junior Data Scientist

AITHERAS, LLC

Arlington, VA โ€ข On-site

$100K - $120K/yr

Full-time

Posted 8 days ago


Job description


Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1โ€“3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities
  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications
  • Bachelorโ€™s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1โ€“3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications
  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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