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Polars Data Jobs (NOW HIRING)

eTeam

Data Engineer - Palantir Foundry

Mobile, AL · On-site

$114K - $136K/yr

PySpark, Polars, Data processing and transformation frameworks. • Proven expertise with Palantir Foundry, including: Code Repositories, Workshop, Ontology Management. • Experience building and ...

Gormat

Data Scientist 3

Annapolis Junction, MD

You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars is preferred) and design scalable ETL workflows, implementing incremental and batch data ingestion ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars is preferred) and design scalable ETL workflows, implementing incremental and batch data ingestion ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars is preferred) and design scalable ETL workflows, implementing incremental and batch data ingestion ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Proficient with SQL or DataFrame libraries like pandas or Polars * Intellectually curious with a meticulous approach to data investigation; you enjoy the detective work required to make sense of ...

Jane Street

Data Engineer

New York, NY

$125K - $150K/yr

Proficient with SQL or DataFrame libraries like pandas or Polars * Intellectually curious with a meticulous approach to data investigation; you enjoy the detective work required to make sense of ...

Edify Technologies India Pvt Ltd

Data Engineer

$40 - $45/hr

Practical knowledge of Polars for data processing and transformation * Solid experience building and running Docker containers * Experience working in Microsoft Azure cloud environments

RIT Solutions, Inc.

Big Data Engineer

Wayne, PA · On-site

$50.50 - $66.75/hr

Proficiency with libraries such as Pandas, Polars, and NumPy. Data Engineering: Understanding of data pipelines, ETL processes, and data warehousing concepts. API Development: Experience in building ...

SysMind Tech

Python Data Integration Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

DataFrame processing expertise (Polars preferred, Pandas acceptable). * Relational database modeling skills. * Familiarity with Geneva's data structures (output layouts, not platform config). * AWS ...

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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 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.
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 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 Engineer - Palantir Foundry

Data Engineer - Palantir Foundry

eTeam

Mobile, AL • On-site

$114K - $136K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
eTeam is seeking a Data Engineer specializing in Palantir Foundry to contribute to the development and optimization of a next-generation data platform. The role involves hands-on data engineering, platform expertise, and collaboration with business teams to enhance operational efficiency and decision-making processes.
Responsibilities:
• Design, develop, and maintain scalable data pipelines and data products.
• Build and enhance enterprise datasets, including both normalized and denormalized data models.
• Develop new data domains and business-oriented datasets to support manufacturing and operational processes.
• Ensure the quality, consistency, and reliability of data assets across the data platform.
• Review and optimize existing datasets, improving data quality, maintainability, and code performance.
• Partner with business stakeholders to translate functional requirements into robust technical solutions.
• Provide technical guidance and best practices to business users and , developers.
• Contribute to the delivery of end-to-end analytical solutions, including both backend data services and front-end reporting capabilities.
• Support the continuous evolution of the organization's data landscape and single source of truth strategy.
Qualifications:
Required:
• Strong experience in Data Engineering.
• Advanced proficiency in Python and SQL.
• Hands-on experience with: PySpark, Polars, Data processing and transformation frameworks.
• Proven expertise with Palantir Foundry, including: Code Repositories, Workshop, Ontology Management.
• Experience building and maintaining enterprise-scale data pipelines.
• Strong understanding of data modeling principles and data architecture.
• Excellent analytical and problem-solving abilities.
• Strong communication and stakeholder management skills.
• Ability to bridge business needs and technical implementation.
• Proactive mindset with a passion for continuous improvement.
• Team player comfortable working in a multicultural and international environment.
Preferred:
• Experience with Foundry OSDK.
• Exposure to Data Science and advanced analytics use cases.
• Experience working within manufacturing, aerospace, or industrial environments.
• Knowledge of modern data governance and data quality frameworks.
• Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.
• 5+ years of experience in Data Engineering or Analytics Engineering roles.
• Experience working directly with business stakeholders in agile delivery environments.
• Ability to operate autonomously while collaborating within a broader transformation program.
Company:
eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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