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Polars Data Jobs in Washington (NOW HIRING)

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PySpark and Polars preferred. Experience developing reusable, modular code preferred. PREFERRED QUALIFICATIONS * DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PySpark and Polars preferred. Experience developing reusable, modular code preferred. PREFERRED QUALIFICATIONS * DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PySpark and Polars preferred. Experience developing reusable, modular code preferred. PREFERRED QUALIFICATIONS * DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current ...

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 ...

vetegrity

Data Scientist 3

Annapolis Junction, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Polars - Experience with process automation for reporting and maintaining Python automation ... unstructured data - Familiarity with customer-specific tools, data flows (e.g., XKS/DX), and ...

Apogee Integration, Llc

Data Scientist

Chantilly, VA

$109K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

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 ...

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 ...

Apogee Integration, Llc

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

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All JobsPolars Data JobsPolars Data Jobs in Washington

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 Washington? For Polars Data jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Polars Data jobs in Washington look for? The top searched job categories for Polars Data jobs in Washington are:
What cities in Washington are hiring for Polars Data jobs? Cities in Washington with the most Polars Data job openings:
Polars Data jobs near you

ME00645-Data Scientist 3

Momentum Engineering

Fort George G Meade, MD • On-site

$135 - $180/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 4 days ago

Job description

ME00645-Data Scientist 3

Momentum Engineering Fort Meade, Maryland, United States

About this position

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary
  • Seeking a Data Scientist to design scalable data pipelines, automate reporting processes, and develop reusable Python-based data solutions
  • The successful candidate will support incremental and batch data ingestion, data transformation, validation, modeling, and dashboard automation
Primary Responsibilities
  • Design and implement scalable Extract, Transform, Load (ETL) workflows
  • Develop incremental and batch data‑ingestion processes
  • Implement robust data validation and quality‑control procedures
  • Perform data transformation and modeling using SQL and Python
  • Preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting
  • Develop automated reporting workflows and dashboards
  • Build and maintain reusable Python automation packages for agency personnel
  • Document data pipelines, automation processes, and technical procedures
Required Qualifications
  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience designing and implementing ETL workflows
  • Experience with data transformation, validation, and modeling
  • Experience preprocessing and preparing datasets for reporting
Desired Qualifications
  • Experience with Pandas, PySpark, or Polars
  • Experience with Power BI, Tableau, or similar dashboard platforms

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

Job Summary
  • Seeking a Data Scientist to design scalable data pipelines, automate reporting processes, and develop reusable Python-based data solutions
  • The successful candidate will support incremental and batch data ingestion, data transformation, validation, modeling, and dashboard automation
Primary Responsibilities
  • Design and implement scalable Extract, Transform, Load (ETL) workflows
  • Develop incremental and batch data‑ingestion processes
  • Implement robust data validation and quality‑control procedures
  • Perform data transformation and modeling using SQL and Python
  • Preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting
  • Develop automated reporting workflows and dashboards
  • Build and maintain reusable Python automation packages for agency personnel
  • Document data pipelines, automation processes, and technical procedures
Required Qualifications
  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Strong Python experience
  • Strong SQL skills
  • Experience designing and implementing ETL workflows
  • Experience with data transformation, validation, and modeling
  • Experience preprocessing and preparing datasets for reportingExperience developing reusable automation solutions
Desired Qualifications
  • Experience with Pandas, PySpark, or Polars
  • Experience with Power BI, Tableau, or similar dashboard platforms
  • Experience supporting large-scale data environments

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

Salary Information

The pay range for this role is: 135,000 - 180,000 USD per year(Ft. Meade MD)

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