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Polars Data Jobs (NOW HIRING)

Apogee Integration, Llc

Data Scientist

Chantilly, VA

$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

Pittsburgh, PA

$57K - $57K/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

Associate Data Scientist

Arlington, VA · On-site

$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

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...

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 ...

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All JobsPolars Data Jobs

Polars Data information

See salary details

$46K

$165K

$243.5K

How much do polars data jobs pay per year?

As of Aug 7, 2026, the average yearly pay for polars data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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.
More about Polars Data jobs
What cities are hiring for Polars Data jobs? Cities with the most Polars Data job openings:
What states have the most Polars Data jobs? States with the most job openings for Polars Data jobs include:
What job categories do people searching Polars Data jobs look for? The top searched job categories for Polars Data jobs are:
Polars Data jobs near you
Infographic showing various Polars Data job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Apogee Integration, Llc

Chantilly, VA

$109K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Security Clearance: Active TS/SCI with FS Polygraph required

Position

Seeking a Data Scientist to support an Intelligence Client.

What You'll Do

  • Assemble large, complex sets of data to meet functional and other requirements
  • Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
  • Construct and perform complex database search queries in multiple databases using SQL and API interfaces
  • Curate and maintain data stores in support of metrics and evaluation
  • Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
  • Communicate and/or present product insights to technical and non-technical individuals

Required

  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
  • Proficiency with open-source programming languages (e.g. 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
  • Proficiency with APIs; both development/update of internal APIs and use of external APIs
  • Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
  • Experience in applying qualitative and quantitative data analysis methods to analytics problems
  • Critical thinking and problem-solving skills for datasets which are unstructured
  • Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
  • Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
  • Proficiency working independently or as a member of a team to research, organize, and analyze information
  • Must have strong interpersonal and communication skills

Desired

  • Experience with transforming, manipulating, and combining data using a programming language, such as Python
  • Experience with using git, or similar version control systems
  • Experience with extract, transform and load (ETL) development for data ingest pipelines
  • Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
  • Experience with CI/CD pipelines
  • Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them
  • Experience providing analytical judgement and trend analysis based on research and comparisons with past products.Experience with the Sponsor's data handling procedures
  • Experience translating customer requirements into project or system specifications

Useful Addtional Skills and Experience

  • M.S. or PhD in a quantitative or STEM related major
  • Experience with large scale ETL from multiple sources
  • Experience with AWS or cloud computing; experience developing and deploying code in a cloud-based environment.
  • Experience with Docker or containers
  • Experience with Databricks
  • Experience with Graph Databases (e.g. Neo4j, Neptune)
  • Experience with Graph Analytics
  • Experience with Kubernetes
  • Experience with Spark
  • Experience programming with distributed computing
  • Demonstrated experience working with sponsor business or mission data, sponsor applications, or sponsor database structures

Pay

  • Target Salary Range: $109,000 to $200,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors

What You'll Love About Apogee

  • Challenging work in support of US Intel Community - a Mission that Matters!
  • Access to our cool ApogeePlex facility
  • Support for new ideas & encouragement to take risks
  • Professional Development Assistance (PDA)
  • Wicked smart and collaborative coworkers
  • Regular interfacing with company leadership
  • 401(k) with huge company match
  • Paid Time Off / Fixed & Floating Holidays
  • Medical, Dental, Vision
  • Health Savings Accounts / Dependent Care Flexible Spending Accounts
  • Life Insurance,Disability (Short and Long Term),Accidental Death and Dismemberment (AD&D)

Apogee's Mission

  • Be thePROVIDERof choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
  • Be theEMPLOYERof choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
  • Be the preferred SOURCEfor cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity Employer

Employment Type: Full time

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