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Polars Jobs (NOW HIRING)

Lead Python Developer

New York, NY · On-site

$153K - $188K/yr

Lead Python Developer - Lead the design, development, and deployment of enterprise-grade applications, primarily in the finance sector. - Utilize expertise in Python, PySpark, FastAPI, Pandas, Polars ...

Strong production experience in Python, including data analysis workflows (pandas, polars, or similar) * Strong grounding in probability, statistics, and time series analysis; familiarity with ...

Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals * Experience contributing to core Python numerical ...

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 ...

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 ...

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 ...

Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals * Proficiency with Go and/or C++ is not required but is a big plus

Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals * Proficiency with Go and/or C++ is not required but is a big plus

UI Engineer (React/Python)

Boston, MA · On-site

$113K - $151K/yr

Strong backend engineering skills using Python, Ray, FastAPI, and Pandas/Polars, including API design, distributed parallel computing, and experience with both relational and non-relational databases.

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

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Polars information

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$87.5K

$135.3K

$189.5K

How much do polars jobs pay per year?

As of Jul 7, 2026, the average yearly pay for polars in the United States is $135,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $160,000.00 per year, depending on experience, location, and employer.
Infographic showing various Polars job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $135,290 per year, or $65 per hour.
Lead Python Developer

Lead Python Developer

Winaxis

New York, NY • On-site

$153K - $188K/yr

Contractor

Re-posted 6 hours ago


Job description

Job Summary: Lead Python Developer
- Lead the design, development, and deployment of enterprise-grade applications, primarily in the finance sector.
- Utilize expertise in Python, PySpark, FastAPI, Pandas, Polars, and Spring Boot to deliver scalable, high-performance solutions.
- Apply quantitative engineering skills for interest rate derivatives, specifically within SWAP QE environments.
- Manage big data processing and analytics using Apache Spark, Databricks, and AWS Glue for large-scale data pipelines and ETL processes.
- Conduct financial risk modeling, predictive analytics, and machine learning to support data-driven decision-making.
- Implement cloud computing and DevOps best practices with AWS, Docker, Kubernetes, and Terraform for automated infrastructure and CI/CD deployment.
- Design and implement RESTful and GraphQL APIs using FastAPI, Flask, and Django; optimize backend systems using PostgreSQL, MongoDB, Redis, Oracle, and PL/SQL.
- Develop and orchestrate microservices and event-driven architectures using Kafka and RabbitMQ.
- Lead Agile teams using Scrum, Kanban, and SAFe, ensuring code quality, test-driven development (PyTest, Selenium), peer reviews, and continuous integration.
- Perform web scraping, data engineering, and automation using Selenium, BeautifulSoup, Scrapy, and Requests.
- Schedule and optimize data workflows with Apache Airflow; integrate AI/ML models for advanced business insights.
- Ensure solutions comply with security best practices and are reliable, scalable, and maintainable.