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Python Data Developer Jobs in Palos Verdes Estates, CA

Edmunds.com

Data Engineer

Santa Monica, CA · On-site +1

$125K - $159K/yr

As a Data Engineer, you will architect and scale the foundational data platforms that power Edmunds ... Spark, Scala, Python, AWS, Databricks, Airflow. * Software Design: Demonstrated ability to design ...

Edmunds.com

Data Engineer

Santa Monica, CA · Remote

$125K - $159K/yr

As a Data Engineer, you will architect and scale the foundational data platforms that power Edmunds ... Spark, Scala, Python, AWS, Databricks, Airflow. * Software Design: Demonstrated ability to design ...

Dlapiper

Data Engineer

Los Angeles, CA

$123.40K - $148.20K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

Merican

Developer AWS, Python

Santa Monica, CA · On-site

$56.50 - $77.75/hr

Developer AWS, Python Work Location: Santa Monica, CA Duration: 12 months Job Type: Temporary ... Exposure to data processing or scientific workflows is a plus. Must have's: * AWS, Python TekWissen ...

Staffingine LLC

AI/ML Engineer

Los Angeles, CA · On-site

AI/ML Engineer Job Location: Los Angeles - California - USA Job Type: Contract * 3-5 years of ... Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn * Proven experience ...

Drunix Solution Inc

Data Engineer

Glendale, CA

$121.30K - $145.70K/yr

... Python, Java, or Scala ✔ Production experience with Spark and distributed systems ✔ Hands-on experience with Airflow orchestration ✔ Experience with Snowflake, Databricks, BigQuery, or other ...

Pwc

GenAI Python Systems Engineer-Manager

Los Angeles, CA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Serve as developer of key DTC analytical models like customer lifetime value, attribution, churn ... Expert proficiency in Python and SQL. * Hands-on experience with experimentation platforms, uplift ...

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How much do python data developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data developer in Palos Verdes Estates, CA is $65.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $73.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.

What are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What is the difference between Python Data Developer vs Data Analyst?

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What job categories do people searching Python Data Developer jobs in Palos Verdes Estates, CA look for? The top searched job categories for Python Data Developer jobs in Palos Verdes Estates, CA are:
What cities near Palos Verdes Estates, CA are hiring for Python Data Developer jobs? Cities near Palos Verdes Estates, CA with the most Python Data Developer job openings:
Python Data Developer jobs near you

Senior Python Data Scientist

Prophecy Technologies

Los Angeles, CA • On-site

Full-time

Posted 15 days ago

Job description

Role Overview:
The Data Science Engineer will develop scalable ML and Generative AI solutions, specializing in model training, document processing pipelines, and vector search implementations. Strong Python expertise and experience across modern ML and GenAI workflows are essential.
Key Responsibilities:
  • Develop and deploy Machine Learning and Generative AI solutions using Python
  • Design and refine prompt engineering strategies for LLM applications
  • Build document extraction, parsing, and chunking pipelines
  • Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
  • Implement embedding generation and vector search solutions
  • Integrate ML models with vector databases and MongoDB
  • Ensure code quality, scalability, and production readiness

Required Skills:
  • Expert-level proficiency in Python
  • Strong experience with model training, evaluation, and tagging workflows
  • Hands-on experience with document extraction and chunking techniques
  • Solid understanding of ML algorithms and Generative AI concepts
  • Experience with vector databases and/or MongoDB

Qualifications:
  • 8-10 years of experience

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