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Polars Data Jobs (NOW HIRING)

VTG

Data Scientist

Beavercreek, OH

Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask) * Experience with data science and analytics toolsets (e.g.

New

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 ...

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 ...

Algomine

NY · On-site

$80 - $120/hr

Strong data processing skills (SQL, Python: pandas, numpy, pyspark, polars) * Good knowledge of machine learning techniques and algorithms and their implementation in Python * Very good knowledge of ...

New

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

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

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

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

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 ...

VTG

Data Scientist

Beavercreek, OH · On-site

Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask) * Experience with data science and analytics toolsets (e.g.

New

Edify Technologies India Pvt Ltd

Data Engineer AI

$45 - $50/hr

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

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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 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.

Hiring: GCP Data Engineer at Charlotte, NC

Realtech Services

Charlotte, NC • On-site

$111K - $134K/yr

Contractor

Re-posted 7 days ago

Job description


 

Position: GCP Data Engineer

Location: Charlotte, NC

Duration: Long-Term Contract

Skill Set:

  • Extensive hands-on experience with BigQuery, Cloud Storage, Cloud SQL, Cloud Dataflow and Cloud Composer.
  • Experience with performance monitoring and pipeline observability using GCP-native tools or third-party solutions
  • Proficiency with GCP resource management and workload optimization and cost control strategies
  • Familiarity with BigQuery for large-scale analytics and schema evolution
  • Knowledge of data lakehouse patterns using Apache Iceberg or similar technologies
  • Well-versed in PySpark, Pandas, and Polars for data processing
  • Experience using Jira and Confluence for agile workflows
  • Experience with interactive notebook environments (Jupyter, Zepplin, databricks or similar) for data engineering development