11 of 11 Remote Polars Jobs

strong understanding of computer systems and how they operate. Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing quantitative More ❯

Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data processing. Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization and orchestration using Docker and Kubernetes. More ❯

a quantitative discipline (such as STEM subject or Economics). Proficiency in Python, with a solid understanding of Python libraries (such as NumPy, pandas, Polars, and scikit-learn) for data manipulation and statistical modeling. A minimum of 5 years experience working with Futures order book market data, with strong familiarity More ❯

restrictions Experience in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or More ❯

restrictions Experience in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or More ❯

restrictions Experience in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or More ❯

working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding of file formats and their behaviour such as parquet, delta and iceberg. More ❯

tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series More ❯

What You’ll Do Design, build, and maintain Python services that power critical financial workflows. Work with modern data processing tools like pandas and polars to transform and analyze large datasets. Build async Python services using asyncio , and develop event-driven systems integrating AWS services (Lambda, SQS, EventBridge, ECS, etc. … impact Opportunities to shape the technical direction and engineering culture as we grow Our Tech Stack Languages: Python (3.10+), SQL Frameworks/Libraries: pandas, polars, dataclasses, asyncio, pytest Data: PostgreSQL, AWS S3 Infrastructure: AWS (Lambda, ECS, SQS, EventBridge), Docker, Terraform CI/CD: GitHub Actions, pre-commit, mypy, flake8/ More ❯

What You’ll Do Design, build, and maintain Python services that power critical financial workflows. Work with modern data processing tools like pandas and polars to transform and analyze large datasets. Build async Python services using asyncio , and develop event-driven systems integrating AWS services (Lambda, SQS, EventBridge, ECS, etc. … impact Opportunities to shape the technical direction and engineering culture as we grow Our Tech Stack Languages: Python (3.10+), SQL Frameworks/Libraries: pandas, polars, dataclasses, asyncio, pytest Data: PostgreSQL, AWS S3 Infrastructure: AWS (Lambda, ECS, SQS, EventBridge), Docker, Terraform CI/CD: GitHub Actions, pre-commit, mypy, flake8/ More ❯

you. What Youll Do Design, build, and maintain Python services that power critical financial workflows. Work with modern data processing tools like pandas and polars to transform and analyze large datasets. Build async Python services using asyncio , and develop event-driven systems integrating AWS services (Lambda, SQS, EventBridge, ECS, etc. … impact Opportunities to shape the technical direction and engineering culture as we grow Our Tech Stack Languages: Python (3.10+), SQL Frameworks/Libraries: pandas, polars, dataclasses, asyncio, pytest Data: PostgreSQL, AWS S3 Infrastructure: AWS (Lambda, ECS, SQS, EventBridge), Docker, Terraform CI/CD: GitHub Actions, pre-commit, mypy, flake8/ More ❯