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Polars Data Jobs in Edison, NJ (NOW HIRING)

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 · 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 ...

Jain Global

Data Engineer - New York

New York, NY · On-site

$125K - $150K/yr

Advanced data analysis skills in Python, with familiarity with Pandas, Polars, and/or Snowpark data frames. Experience with high-throughput, low-latency programming in C#, F#, C++, or Java is a plus.

Jain Global

Data Engineer - New York

New York, NY

$125K - $150K/yr

Advanced data analysis skills in Python, with familiarity with Pandas, Polars, and/or Snowpark data frames. Experience with high-throughput, low-latency programming in C#, F#, C++, or Java is a plus.

AgileEngine

Senior Data Engineer ID75059

Jersey City, NJ · On-site

$110K - $150K/yr

... Polars , PySpark or DuckDB ; - 2+ years of experience with Big Data technologies ( Spark , Snowflake ); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard ...

DRW

Senior Data Engineer, Unified Platform

Manhattan, NY · On-site

$116K - $158K/yr

Flink, Spark, Polars, Dask, etc.) • Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated ...

AgileEngine

Senior Data Engineer ID75059

Jersey City, NJ · On-site

$110K - $150K/yr

... Polars , PySpark or DuckDB ; - 2+ years of experience with Big Data technologies ( Spark , Snowflake ); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard ...

AgileEngine

Senior Data Engineer ID75059

Manhattan, NY · On-site

$116K - $157K/yr

... Polars , PySpark or DuckDB ; - 2+ years of experience with Big Data technologies ( Spark , Snowflake ); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard ...

Winaxis

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

... Pandas, Polars, and Spring Boot to deliver scalable, high-performance solutions. - Apply ... data processing and analytics using Apache Spark, Databricks, and AWS Glue for large-scale data ...

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Showing results 1-20

All JobsPolars Data JobsPolars Data Jobs in Edison, NJ

Polars Data information

See Edison, NJ salary details

$47.6K

$170.8K

$252.1K

How much do polars data jobs pay per year?

As of Aug 20, 2026, the average yearly pay for polars data in Edison, NJ is $170,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,200.00 and $176,000.00 per year, depending on experience, location, and employer.

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.

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 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 popular job titles related to Polars Data jobs in Edison, NJ?

For Polars Data jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Polars Data jobs in Edison, NJ look for?

The top searched job categories for Polars Data jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Polars Data jobs?

Cities near Edison, NJ with the most Polars Data job openings:

Polars Data jobs near you
Infographic showing various Polars Data job openings in Edison, NJ 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 $170,835 per year, or $82.1 per hour.

Data Engineer

Jane Street

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 28 days ago

Job description

About the Position

We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy-think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal. 

You'll work closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines that ingest and transform external data. You'll figure out what data means and how best to represent it. We build our own tools and software when needed, so you'll also help shape the systems you use every day.

This is a collaborative role, but you'll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next.

About You
  • Have strong programming skills in any language (Python a plus); you write clear, correct, and maintainable code
  • 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 unfamiliar datasets
  • A clear and concise communicator

Prior experience with financial data is helpful but not required. We're happy to hire talented engineers and teach them what they need to know.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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