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Polars Data Jobs (NOW HIRING)

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Jamul, 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 ...

Group One Trading

Compliance Data Analyst

Chicago, IL · On-site

$85K - $100K/yr

Strong proficiency in Python and SQL, with hands-on experience using data analysis libraries such as Pandas, Polars, and NumPy, and visualization tools such as Plotly, Matplotlib, or Seaborn

Edgestream

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Strong proficiency in Python, including experience with libraries such as Pandas, Polars and NumPy. * A passion for AI and a demonstrated drive to leverage it for transforming and automating data ...

Walmart

Data Scientist III

Bentonville, AR · On-site

As a Data Scientist at Walmart Global Tech, your role will involve driving initiatives across ... Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark ...

Walmart

Data Scientist III

Elkins, AR · On-site

$90K - $180K/yr

As a Data Scientist at Walmart Global Tech, your role will involve driving initiatives across ... Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark ...

Walmart

Data Scientist III

Bentonville, AR · On-site

$90K - $180K/yr

As a Data Scientist at Walmart Global Tech, your role will involve driving initiatives across ... Expertise in Python, with proficiency in libraries such as Pandas/Polars, NumPy, PySpark ...

Versa Networks

Data Scientist

$170K - $225K/yr

Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn). * Knowledge of machine learning algorithms and techniques. * Familiarity with deep learning ...

Child Mind Institute

Data Engineer

Manhattan, NY · On-site

$119K - $150K/yr

As part of the Center for Data Analytics, Innovation, and Rigor team, you will report to Rubric ... Polars, Pytorch) is required. * 5+ years of experience working in a Linux environment, using ...

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

Escondido, 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

Chula Vista, 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 ...

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All JobsPolars Data Jobs

Polars Data information

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$46K

$165K

$243.5K

How much do polars data jobs pay per year?

As of Jul 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 some 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 are Polars Data professionals?

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.
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What cities are hiring for Polars Data jobs? Cities with the most Polars Data job openings:
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Polars Data jobs near you
Infographic showing various Polars Data job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist with Security Clearance

Data Scientist with Security Clearance

Software Engineering Institute

Pittsburgh, PA • On-site

Other

Re-posted 29 days ago

Job description

What We Do: Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences. Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
* Willingness to complete modest travel to various locations to support the SEI's overall mission.
* You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance. Knowledge, Skills and Abilities: * Experience in predictive modeling, data science, and/or AI & machine learning
* Deep understanding of statistical modeling techniques and advanced data analytics
* Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
* Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
* Strong communication skills
* Expertise in one or more of the following:
* Recommendation systems
* Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
* NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
* Causal inference / uplift modeling / synthetic controls
* Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
* LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
* Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
* Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks) Desired Experience: * Experience in cybersecurity and privacy is a plus is a plus
* Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
* Demonstrated ability to learn new concepts and grow into new areas of work Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
Salary
More Information: * Please visit " Why Carnegie Mellon " to learn more about becoming part of an institution inspiring innovations that change the world.
* Click here to view a listing of employee benefits
* Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
* Statement of Assurance

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