... Polars, Velox, cuVS, and related NVIDIA libraries • Build repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer training • Support emerging ...
... Polars, Velox, cuVS, and related NVIDIA libraries • Build repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer training • Support emerging ...
Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox ... vector databases, or unstructured data pipelines * Experience working with ISVs, partners, or ...
Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox ... vector databases, or unstructured data pipelines * Experience working with ISVs, partners, or ...
Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox ... vector databases, or unstructured data pipelines * Experience working with ISVs, partners, or ...
Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox ... vector databases, or unstructured data pipelines * Experience working with ISVs, partners, or ...
... Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data platforms such as Snowflake and Databricks ...
... Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data platforms such as Snowflake and Databricks ...
... Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data platforms such as Snowflake and Databricks ...
... Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data platforms such as Snowflake and Databricks ...
Required : • 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data. • Strong fluency in Python, and data processing tools (Pandas, Polars ...
Required : • 5+ years of experience in data engineering / data wrangling with real-world tabular or semi-structured data. • Strong fluency in Python, and data processing tools (Pandas, Polars ...
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar). * Excellent experience dealing with messy Excel / CSV / spreadsheet-style data - inconsistent headers ...
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar). * Excellent experience dealing with messy Excel / CSV / spreadsheet-style data - inconsistent headers ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession ofstrong analytical, problem-solving, and critical ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession ofstrong analytical, problem-solving, and critical ...
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar). * Excellent experience dealing with messy Excel / CSV / spreadsheet-style data -- inconsistent headers ...
Quick apply
Data Engineer, Scientific Data Ingestion
San Francisco, CA · On-site
$150K - $200K/yr
Strong fluency in Python, and data processing tools (Pandas, Polars, PyArrow, or similar). * Excellent experience dealing with messy Excel / CSV / spreadsheet-style data -- inconsistent headers ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Knowledge of data science skillsets, including Pandas, Polars, Scikit-learn, Pytorch, Tensorflow, and R * Knowledge of AI engineering * Possession of strong analytical, problem-solving, and critical ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
Data Analyst
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
WPC Apple Card Data Scientist
Cupertino, CA · On-site
$175.50 - $311.70/hr
Expert data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large‑scale distributed systems such as Redshift * Proficient in cloud ...
WPC Apple Card Data Scientist
Cupertino, CA · On-site
$175.50 - $311.70/hr
Expert data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large‑scale distributed systems such as Redshift * Proficient in cloud ...
Sr. Data Scientist
Santa Clara, CA · On-site
$170K - $225K/yr
Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn). * Knowledge of machine learning algorithms and techniques. * Familiarity with deep learning ...
Quick apply
Sr. Data Scientist
Santa Clara, CA · On-site
$170K - $225K/yr
Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn). * Knowledge of machine learning algorithms and techniques. * Familiarity with deep learning ...
Sr. Data Scientist
Santa Clara, CA · On-site
$170K - $225K/yr
Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn). * Knowledge of machine learning algorithms and techniques. * Familiarity with deep learning ...
Sr. Data Scientist
Santa Clara, CA · On-site
$170K - $225K/yr
Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn). * Knowledge of machine learning algorithms and techniques. * Familiarity with deep learning ...
WPC Apple Card Data Scientist
$175K - $311K/yr
... Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data platforms such as Snowflake and Databricks ...
WPC Apple Card Data Scientist
$175K - $311K/yr
... Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data platforms such as Snowflake and Databricks ...
Data Analyst with Security Clearance
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
Data Analyst with Security Clearance
San Diego, CA · On-site
$61K - $141K/yr
Experience performing data science and predictive analytics using tools such as Pandas, Polars, Scikit-learn, MLFlow, Pytorch, or Tensorflow * Experience with federal procurement, including for ...
Sr. Data Scientist
Santa Clara, CA · On-site
$170K - $225K/yr
Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn). * Knowledge of machine learning algorithms and techniques. * Familiarity with deep learning ...
Sr. Data Scientist
Santa Clara, CA · On-site
$170K - $225K/yr
Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn). * Knowledge of machine learning algorithms and techniques. * Familiarity with deep learning ...
Polars Data information
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?
| Aspect | Polars Data | Data Analyst |
|---|---|---|
| Required Skills | Data manipulation, programming in Python/R, familiarity with data processing libraries | Data interpretation, reporting, visualization skills, basic programming |
| Work Environment | Data processing, scripting, working with large datasets | Business analysis, presenting insights, collaborating with teams |
| Industry Usage | Data engineering, data science, analytics projects | Business 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 California?
For Polars Data jobs in California, the most frequently searched job titles are:
What job categories do people searching Polars Data jobs in California look for?
The top searched job categories for Polars Data jobs in California are:
What cities in California are hiring for Polars Data jobs?
Cities in California with the most Polars Data job openings:
Full-time
Re-posted 23 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 244 rated software companies
Job description
Job Summary:
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. This role will focus on helping ISVs understand, adopt, and commercialize NVIDIA acceleration technologies across structured data processing, analytics, unstructured data, retrieval, and agentic AI workflows.
Responsibilities:
• Drive technical GTM with Data Platform ISVs across query engines, databases, analytics platforms, data processing frameworks, and AI data infrastructure.
• Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and customer-facing enablement
• Help ISVs identify the right NVIDIA acceleration paths for their platforms and use cases, including cuDF, Spark RAPIDS, Polars, Velox, cuVS, and related NVIDIA libraries
• Build repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer training
• Support emerging data platform use cases for GenAI, including unstructured data processing, RAG pipelines, data preparation, and retrieval workflows
• Travel up to 20% for conferences and customers may be required
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics
• Strong background in data platforms, distributed systems, analytics, databases, or systems for managing and processing data
• Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox, vector databases, or unstructured data pipelines
• Experience working with ISVs, partners, or enterprise customers in a solutions architecture or field engineering role
• Excellent presentation, communication and collaboration skills
Preferred:
• Hands-on experience with NVIDIA GPUs and software libraries, such as NeMo Retriever, cuVS, RAPIDS and cuDF
• Background in RAG, agentic AI, unstructured data processing, or inference and data platform integration
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Familiarity with parallel programming and distributed computing platforms
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. This role will focus on helping ISVs understand, adopt, and commercialize NVIDIA acceleration technologies across structured data processing, analytics, unstructured data, retrieval, and agentic AI workflows.
Responsibilities:
• Drive technical GTM with Data Platform ISVs across query engines, databases, analytics platforms, data processing frameworks, and AI data infrastructure.
• Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and customer-facing enablement
• Help ISVs identify the right NVIDIA acceleration paths for their platforms and use cases, including cuDF, Spark RAPIDS, Polars, Velox, cuVS, and related NVIDIA libraries
• Build repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer training
• Support emerging data platform use cases for GenAI, including unstructured data processing, RAG pipelines, data preparation, and retrieval workflows
• Travel up to 20% for conferences and customers may be required
Qualifications:
Required:
• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics
• Strong background in data platforms, distributed systems, analytics, databases, or systems for managing and processing data
• Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox, vector databases, or unstructured data pipelines
• Experience working with ISVs, partners, or enterprise customers in a solutions architecture or field engineering role
• Excellent presentation, communication and collaboration skills
Preferred:
• Hands-on experience with NVIDIA GPUs and software libraries, such as NeMo Retriever, cuVS, RAPIDS and cuDF
• Background in RAG, agentic AI, unstructured data processing, or inference and data platform integration
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Familiarity with parallel programming and distributed computing platforms
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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