13 of 13 Remote Polars Jobs

engineering and development, and a 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 models from data in a More ❯

outcomes. Key Skills and Experience required Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes More ❯

models Solid understanding of data science and machine learning concepts Experience with some machine learning/data engineering machine learning tech in Python (such as numpy, pytorch, pandas/polars, airflow, etc) Experience developing data products using large language model, prompt engineering, model evaluation. Experience with web services and programming (such as Python, docker, databases etc.) Great to (but not More ❯

high-yield and investment-grade corporate bonds.The ideal candidate will have hands-on experience with engineering complex systems and pipelines, as well as experience with Python/Pandas/Polars, SQL, AWS, Portfolio Construction/Optimization, Trading and Trading Systems, and Simulation. Prior experience with systematic investment management, corporate bonds and other credit instruments is preferred but not required.Acadian supports More ❯

Analytics, or a related field. 3+ years of experience developing and deploying production-grade Python software. 3+ years of experience with Python and high-performance data libraries such as Polars and Pandas. Proficiency with JavaScript, SQL, and KQL. Experience with Extract, Transform, Load (ETL), Data Streaming, and Reconciliation. Experience building and maintaining deployment pipelines, including DevOps tools like Ansible, and More ❯

a minimum of a MSc in 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, statistical modeling. A minimum of 5 years experience working with Futures order book market data. With strong familiarity in other financial instruments (e.g. other More ❯

Proficiency in Git, including knowledge of branching strategies, merge mechanisms, and repository management Demonstrated ability to build and maintain test automation frameworks and CI/CD pipelines Experience with Polars Perks & Benefits Benefits package including Restricted Stock Units (RSUs), family health insurance, and contributions to private pension plans Fitness reimbursement Work anywhere Veeva's headquarters is located in the San More ❯

be comfortable with cloud-based 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 forecasting, agent-based modelling, and More ❯

and Python programming. Extensive experience 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. What we offer We want More ❯

for prototypes. Design workflows transforming semi-structured data into actionable insights. Support rapid experimentation, shipping, and learning. What We're Looking For & More Proficiency in Python and pandas (or Polars) with a proven track record of delivering data systems. Experience with JSON, XML, CSV, and transforming unstructured data. Familiarity with AWS cloud-native tools like Lambda and Step Functions. Interest More ❯

Simplify and communicate technical concepts to non-technical stakeholders. Required skills Data : Design and implement storage solutions with SQL, NoSQL, cloud storage, data versioning, validation, and advanced dataframe handling (Polars/PySpark). Python : Utilise virtual environments, object-oriented programming, data classes, and data manipulation libraries for scripting and visualisation. Repository : Manage code with single-branch PRs/MRs, CI More ❯

engineers in assessing and troubleshooting our latest technology for particular protein targets. Data Analysis & Interpretation: Analyse and interpret biological and chemical data using tools such as Python (Pandas/Polars) or KNIME. Collaborate Effectively: Work within multi-disciplinary project teams (including medicinal chemists, biologists, DMPK scientists, AI/ML researchers) and manage relationships with external CROs under guidance. Communicate Science More ❯

in reimagining and rebuilding our data platform to ensure we stay ahead in a rapidly evolving landscape. You’ll be hands-on, using the latest tools like Apache Arrow, Polars, and Dagster to craft a data architecture that aligns with our innovative investment strategies. In this position, you’ll be deeply involved in building and optimizing data pipelines that are More ❯