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Polars Data Jobs in Virginia (NOW HIRING)

Cmu

Data Scientist

Arlington, VA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel analytical ...

Apogee Integration, Llc

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas) * Proficiency using mathematical, statistical, or other data-driven analysis

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel analytical ...

Cmu

Senior Data Scientist

Arlington, VA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... polars, MATLAB, etc.) * Innovative and inquisitive with ability to imagine novel analytical ...

Apogee Integration, Llc

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas) * Proficiency using mathematical, statistical, or other data-driven analysis

Phase2 Technology

Data Scientist

Chantilly, VA · On-site

$62 - $141/hr

Knowledge of data processing frameworks such as Pandas, Polars, or Spark * Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R * Knowledge of ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site

$62K - $141K/yr

Knowledge of data processing frameworks such as Pandas, Polars, or Spark * Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R * Knowledge of ...

Booz Allen Hamilton

Data Scientist

Chantilly, VA

$62K - $141K/yr

Knowledge of data processing frameworks such as Pandas, Polars, or Spark * Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R * Knowledge of ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Knowledge of data processing frameworks such as Pandas, Polars, or Spark * Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R * Knowledge of ...

Booz Allen Hamilton

Data Scientist

Chantilly, VA · On-site

$62K - $141K/yr

Knowledge of data processing frameworks such as Pandas, Polars, or Spark * Knowledge of statistical or machine learning frameworks such as scikit-learn, pytorch, tensorflow, or R * Knowledge of ...

MOONITSolutions Inc.

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

Familiarity with Python-based machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. 2+ years of experience with data transformation using PySpark, Dask, Polars, etc. Strong ...

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Polars Data information

What is the difference between Polars Data vs Data Analyst?

AspectPolars DataData Analyst
Required SkillsData manipulation, programming in Python/R, familiarity with data processing librariesData interpretation, reporting, visualization skills, basic programming
Work EnvironmentData processing, scripting, working with large datasetsBusiness analysis, presenting insights, collaborating with teams
Industry UsageData engineering, data science, analytics projectsBusiness intelligence, reporting, decision support

Polars Data focuses on efficient data processing and manipulation using programming tools, often in data engineering or data science contexts. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Polars Data is more technical and programming-oriented, whereas Data Analysts focus on analysis and communication of insights.

What are common challenges faced by professionals working with Polars Data, and how can they be addressed?

Professionals working with Polars Data often encounter challenges such as adapting to its unique API, optimizing data processing workflows for performance, and integrating Polars with other data tools. Since Polars is relatively new compared to libraries like pandas, there may be limited community support or documentation for complex use cases. To overcome these challenges, it's helpful to actively engage with the Polars community, regularly review official documentation, and experiment with different optimization strategies. Collaborating with team members familiar with similar data processing frameworks can also accelerate the learning curve.

What are the key skills and qualifications needed to thrive as a Polars Data engineer, and why are they important?

To thrive as a Polars Data Engineer, you need strong skills in data engineering, Python programming, and a solid understanding of the Polars library for efficient data processing. Familiarity with data pipeline tools, cloud platforms, and proficiency in using Polars for large-scale, high-performance data manipulation is typical, alongside knowledge of version control systems like Git. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and translating data needs into actionable solutions. These skills ensure you can design robust, scalable data workflows and deliver timely insights for data-driven decision-making.

What is a Polars Data professional?

Polars Data professionals are specialists who work with Polars, a fast DataFrame library designed for data manipulation and analysis, particularly in Python and Rust. They use Polars to efficiently process large datasets, perform data cleaning, transformation, and analysis tasks. These professionals often have backgrounds in data science, analytics, or software engineering, and choose Polars for its speed and scalability compared to traditional libraries like pandas. Their work is valuable in fields that require rapid data processing, such as finance, research, and technology.
What are popular job titles related to Polars Data jobs in Virginia? For Polars Data jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Polars Data jobs in Virginia look for? The top searched job categories for Polars Data jobs in Virginia are:
What cities in Virginia are hiring for Polars Data jobs? Cities in Virginia with the most Polars Data job openings:
Polars Data jobs near you

Data Scientist/Application Developer (Secret cleared)

Accenture Federal Services

Arlington, VA • On-site

Full-time

Posted 17 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 483 rated business services

Job description

The work: 

Key Responsibilities:

  • Conduct data discovery and exploratory data analysis across structured and unstructured data
  • Perform data cleansing, normalization, aggregation, and modeling
  • Design and build analytic applications in Palantir Foundry, including dashboards and interactive workflows
  • Apply advanced analytics and statistical methods such as regression, clustering, hypothesis testing, and A/B testing
  • Develop and embed AI/ML capabilities (LLMs, NLP, RAG/GraphRAG) into analytic workflows
  • Create clear visualizations and metrics to support executive and operational decisionmaking
  • Collaborate in an Agile/Scrum environment to rapidly iterate on solutions
  • Communicate insights effectively to both technical and nontechnical stakeholders

Here is what you need:

  • US Citizen (No dual citizenship)
  • Active DoD Secret clearance required
  • Strong experience in data science and analytics, including EDA, data wrangling, modeling, and statistical analysis
  • Proficiency in Python and related analytics/pipeline libraries (pandas, polars, PySpark)
  • Experience with AI/ML and statistical modeling tools (scikit-learn, statsmodels, Prophet; NLP tools such as spaCy or NLTK)
  • Experience building production-grade analytics solutions (apps, dashboards, notebooks)
  • Experience with data visualization using Python libraries or BI tools (matplotlib, seaborn, plotly, PowerBI, Tableau, Qlik)
  • Comfort working in a dynamic Agile/Scrum environment with evolving requirements
  • Strong communication skills for presenting insights to nontechnical audiences
  • Background in statistics, mathematics, operations research, or applied sciences
  • Experience with Palantir Foundry, Databricks, or similar data platforms

Preferred experience:

  • Hands-on experience with Palantir Foundry (pipelines, transforms, Workshop, Ontologies, AIP)
  • Experience building AI-enabled applications using LLMs, NLP, RAG, or GraphRAG
  • Experience developing rapid analytic demos with Streamlit
  • Familiarity with model deployment and ML/AI serving architectures
  • Exposure to TypeScript
  • Experience with data platform operations, monitoring, or optimization
  • Experience building and maintaining ETL pipelines supporting analytic applications

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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