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Data Engineer Python Jobs in California (NOW HIRING)

Fincons.US, Inc.

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Fincons US is seeking a Data Engineer to join our growing engineering team ... We are looking for someone with strong Python and database experience who enjoys building scalable ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA

... Engineering, or a related field. * Technical Skills: * Proficiency in Python and libraries such as ... Familiarity with fundamental concepts in data structures and algorithms. * Preferred: * Experience ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Data Engineer(SQl, Python) Location: Sunnyvale, CA (onsite) Job Type: full time Must Have Technical/Functional Skills • 8+ years of professional experience in data engineering or backend data ...

Horizon Surgical Systems

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is ... Develop Python-based tooling and automation to support data ingestion, transformation, and delivery.

Horizon Surgical Systems, Inc.

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Open Position - Data Engineer Horizon Surgical Systems Inc. Horizon Surgical Systems Inc. is ... Develop Python-based tooling and automation to support data ingestion, transformation, and delivery.

Maayee Information Technology Pvt Ltd

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 ...

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Data Engineer Python information

What is a Data Engineer Python job?

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 are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

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.

What are the typical daily responsibilities of a Data Engineer Python?

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 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:
Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data engineer (Tableau, Python, Snowflake) at Sunnyvale, CA ( 3days Hybrid) _ W2 only

BI-Commercial

Sunnyvale, CA • On-site

Contractor

Re-posted 23 days ago

Job description

Role: Data engineer (Tableau, Python, Snowflake)

Location: Sunnyvale, CA ( 3days Hybrid)

Overview:

We are seeking an experienced Senior Data Engineer with at least 8 years of industry experience and strong expertise in Python and Snowflake. The ideal candidate will excel at collaborating with business users, cross-functional teams, and offshore teams to deliver high-quality data solutions. A solid understanding and experience with Machine learning is a valuable addition.

Key Responsibilities:

•            Design, develop, and manage robust, scalable data pipelines and workflows using Python and Snowflake.

•            Collaborate with business stakeholders to gather and translate requirements into actionable solutions.

•            Partner with cross-functional platform teams and offshore resources to ensure seamless project execution.

•            Build and optimize data models and architecture to support analytics and reporting needs.

•            Monitor and improve data integration processes, ensuring accuracy, reliability, and performance.

•            Explore opportunities to incorporate machine learning solutions into data engineering workflows.

Qualifications:

•            6+ years of experience in data engineering, with a strong focus on Python and Snowflake.

•            Proven ability to work closely with business stakeholders to gather requirements and deliver impactful solutions.

•            Extensive experience working with offshore and cross-functional teams.

•            Excellent communication, problem-solving, and teamwork skills.

•            Experience with machine learning concepts and applications.

•            Experience with cloud platforms (e.g., AWS, Azure, GCP) for data engineering and machine learning.

•            Knowledge of CI/CD pipelines for data and ML workflows.