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Data Engineer Python Jobs in California (NOW HIRING)

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Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

Data Engineer with a client at Irvine, CA Contract to hire. Position Summary The Engineer, Data ... Design and develop ETL/ELT pipelines using Snowflake, dbt, Matillion, and Python. * Integrate data ...

Data Engineer

Tracy, CA · On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse ... with Python, Java, PHP, SQL, CLI Keywords: Education: BS/MS in Computer Science or a related ...

Data Engineer

Tracy, CA · On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse ... with Python, Java, PHP, SQL, CLI Keywords: Education: BS/MS in Computer Science or a related ...

Data Engineer.

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer. Location: Sunnyvale, CA. Duration: Long Term Contract. Direct Client: Req. Key ... Experience with Java, Scala, and Python. * Experience with cloud computing platforms like AWS, and ...

Senior GenAI / Agentic AI Engineer (Python-heavy) Contract: 6 months (possible extension) Location ... Graph data stores * Develop scalable document ingestion pipelines for large volumes of data ...

Data engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer with strong Python and AWS experience. The role involves designing and managing data pipelines, optimizing database performance, and collaborating with ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Core Tech: Strong programming skills in Python or Java/Scala , alongside advanced SQL expertise. * Big Data Infrastructure: Deep, hands-on experience with tools like Apache Spark , Hadoop , Hive , or ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Core Tech: Strong programming skills in Python or Java/Scala , alongside advanced SQL expertise. * Big Data Infrastructure: Deep, hands-on experience with tools like Apache Spark , Hadoop , Hive , or ...

Data Engineer

Pleasanton, CA · On-site

$135K - $150K/yr

Develop reusable Python libraries and frameworks to standardize data engineering solutions. * Build and maintain CI/CD pipelines to automate deployment, testing, and release processes. * Experience ...

Role : Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

... Python, Scala, Java etc) and querying languages (SQL, HiveQL, Spark SQL etc) Qualifications ... data engineering and data technologies • Experience with data modelling, data warehousing and ...

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer to join their team ... The role involves strong Python development and software design, along with experience in various ...

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$142K - $192K/yr

We are looking for an experienced Python developer with a passion for Generative AI and hands-on ... Fine-tune LLMs, enhance data retrieval from structured/unstructured sources, and optimize prompt ...

Data Engineer

Pleasanton, CA · On-site

$135K - $150K/yr

Develop reusable Python libraries and frameworks to standardize data engineering solutions. * Build and maintain CI/CD pipelines to automate deployment, testing, and release processes. * Experience ...

Data Engineer

City Of Industry, CA · On-site

$90K - $120K/yr

We're looking for a hands-on Data Engineer who is comfortable owning data workflows end-to-end ... If a pipeline fails because of Python code, you'll investigate the code. If a container won't start ...

Showing results 41-60

Data Engineer Python information

What is a data engineer python?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What does a data engineer python do?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the key skills and qualifications needed to thrive in the data engineer python position?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.

What are popular job titles related to Data Engineer Python jobs in California?

For Data Engineer Python jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Engineer Python jobs in California look for?

The top searched job categories for Data Engineer Python jobs in California are:

Infographic showing various Data Engineer Python job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Python Engineer

Lake Forest, CA • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees

Full-time

Re-posted 20 days ago


Job description

Top 3 Skills
Python
ETL
Experience within structured and un-structured data
Unstructured data into relational databases
AWS
Requirements:
• You have a Bachelor's Degree in Computer Science (or related field) and have 5+ years of relevant work experience in business intelligence, data engineering, data warehousing, or a similar field.
• You have expert level experience with SQL and Python, with intermediate around Hive, Pig
• You remain active in learning emerging practices and technologies in the BI/DW and data science space.
• You are comfortable and confident in your knowledge of multiple database programming languages and your knowledge of relational and columnar databases.
• You have experience integrating data from multiple data sources and have processed large amounts of unstructured data.
• You have experience with Cloud technologies (AWS preferred), Big Data Components (Apache Spark, Hadoop, Presto, etc.), and Continuous Integration tools is desired, but not required.
Data Engineer Job Responsibilities:
• Provide significant contributions to the growth of our Data infrastructure
• Design, develop, test and deploy business intelligence solutions
• Design and document data structures/models and data flows
• Interact with various business units and technical teams to gather requirements
• Review, optimize and document current ETL processes
• Ensure data quality, completeness, and accuracy
• Collaborate with team members in code reviews, discovering better practices and patterns and continuous improvements