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Polars Data Jobs in Raleigh, NC (NOW HIRING)

Polars Data information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do polars data jobs pay per year?

As of Jul 10, 2026, the average yearly pay for polars data in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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.
What are popular job titles related to Polars Data jobs in Raleigh, NC? For Polars Data jobs in Raleigh, NC, the most frequently searched job titles are:
Infographic showing various Polars Data job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.
Senior Product Manager - Structured Data Query Engines

Senior Product Manager - Structured Data Query Engines

Nvidia

Durham, NC • On-site

$122K - $161K/yr

Full-time

Re-posted 7 days ago


Job description

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. The world of computing is constantly evolving, and we believe that data scientists and engineers should be able to seamlessly accelerate their applications and workflows. NVIDIA CUDA-X brings accelerated computing to data science libraries, query engines, and vector databases to power data processing for the era of AI. This translates into faster results, lower costs, and better scalability through a new computing paradigm.

Want to get involved? We're looking for an outstanding Senior Product Manager to help guide development and drive enterprise adoption of accelerated computing in the world of structured data query engines spanning Presto, Velox, DuckDB, Polars, Spark, and more. You'll work with a community of developers, partners, researchers, and NVIDIA's world-leading engineering and field teams to help invent the future of accelerated data processing, from lakehouses to databases and everything in between.

What you'll be doing:

  • Define, own, and drive the strategy enabling the world's enterprises to adopt accelerated query engines powered by NVIDIA's platform

  • Engage deeply with customers, ISVs, storage partners, and CSPs to find opportunities to improve their experience, owning the voice of the customer and incorporating insights into hardware and software roadmaps and priorities

  • Collaboratively develop and lead enterprise go-to-market motions, working with a cross-functional team on asset creation, market research, positioning, enablement, etc.

  • Track and act on important measures for adoption, engagement, and customer success to continuously improve our value proposition and developer experience

  • Serve as the point person for presenting vision, opportunities, and progress, setting expectations and managing internal and external collaborators

What we need to see:

  • BS or MS Degree in a quantitative field (e.g., Computer Science, Applied Math, Computational Science, Engineering, etc.) or equivalent experience

  • 10+ years of product management experience (or similar) focused on data analytics technologies

  • Excellent balance of deep technical and business knowledge of the data analytics space

  • Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy

  • Track record of working closely with and activating partner ecosystems

  • Outstanding communication skills with demonstrated ability to articulate a value proposition to technical and non-technical audiences.

Ways to stand out from the crowd:

  • Experience with accelerated data analytics software, including cuDF

  • Experience collaborating with and contributing to open-source projects related to databases, lakehouse and warehouse query engines, or similar

  • Proven ability to thrive and succeed in a fast-paced environment with multiple priorities

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993