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Data Engineer Python Jobs in California (NOW HIRING)

... 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 ...

... 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 ...

DATA ENGINEER

California City, CA · On-site

$140K - $168K/yr

Develop data solutions using SQL and Python * Support healthcare data ingestion and transformation ... Engineering or related role * Strong SQL skills and basic Python knowledge * Understanding of ETL ...

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 ...

... Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas ... in data structures and algorithms. • Ability to communicate and work well in a team. • ...

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Data Engineer Location: Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 ... The ideal candidate will have strong expertise in Snowflake, SQL, ETL, DBT, Tableau, Python, and ...

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

We are seeking a highly skilled Data Engineer with expertise in AI-enabled data platforms, AWS cloud services, Python, PySpark, and Kubernetes to design, develop, and optimize scalable data pipelines ...

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Programming (Python, SQL, PySpark, Shell Scripting). * Big Data Technologies (Apache Spark, Hadoop Ecosystem, Kafka). * DevOps & CI/CD (Git, Jenkins/Azure DevOps). Education and Experience:

... Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas ... in data structures and algorithms. • Ability to communicate and work well in a team. • ...

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

The role involves utilizing skills in SQL and Python within the banking or finance domain. Qualifications : Required : • 8-10 Years of experience • Skills: Data Engineer • Skills: SQL • ...

Data Engineer

Irvine, CA · On-site

$175K/yr

... Data Engineering, or Analytics-focused roles ... Expert-level SQL and strong Python experience * Hands-on experience with dbt, Redshift, Looker ...

Showing results 21-40

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.

Software Engineer (Python / LabVIEW / DAQ)

Cupertino, CA • On-site

Other

Re-posted 2 days ago


Job description

Job Description Software Engineer (Python / LabVIEW / DAQ)

Location: Cupertino, CA (Onsite)

Duration: 6 12 Months

Position Overview

We are seeking an experienced Software Engineer with 10 15 years of experience in developing and maintaining data acquisition and test automation software for hardware validation and reliability testing environments. The ideal candidate will have strong expertise in Python, LabVIEW, DAQ systems, and hardware/software integration, with experience supporting life-cycle testing, display measurement systems, and automated test platforms.

This role involves developing new software solutions, modernizing legacy LabVIEW applications by migrating them to Python, supporting display life-test systems, and collaborating closely with hardware and reliability engineering teams.

Key Responsibilities

Develop and maintain data acquisition software for Life Test Standard Operating Procedures (SOPs) and specialized prototype test boards.

Convert and modernize legacy LabVIEW-based applications, tools, and scripts into Python-based solutions.

Support software development for early prototype display life-testing systems.

Adapt and enhance existing display measurement station software for reliability testing applications.

Interface with DAQ hardware to automate the collection of electrical, optical, and environmental test data.

Perform software validation, debugging, troubleshooting, and testing in hardware lab environments.

Collaborate with cross-functional teams including hardware, reliability, and test engineering groups to define and implement software solutions.

Create and maintain technical documentation, including system architecture diagrams, user guides, software design documents, and test procedures.

Ensure compliance with development standards, coding guidelines, and software quality requirements.

Required Qualifications

Bachelor's degree in electronic engineering, Computer Engineering, Computer Science, or a related technical discipline.

10 15 years of software development experience.

Strong hands-on experience with Python development.

Strong experience with LabVIEW development and maintenance.

Experience with Data Acquisition (DAQ) systems and hardware interfacing.

Experience with serial communication protocols and instrument communication.

Experience working with display measurement systems, test stations, or hardware validation platforms.

Proficiency with Unix/Linux command-line tools.

Experience with Git or other version control systems.

Strong troubleshooting, debugging, and problem-solving skills.

Excellent written and verbal communication skills.

Preferred Qualifications

Experience with NI TestStand.

Knowledge of C and C++ for automation or integration projects.

Experience with hardware validation, reliability engineering, NPI, or manufacturing test systems.

Experience with Automated Test Equipment (ATE).

Familiarity with SVN and other source control systems.

Exposure to CI/CD pipelines and automated software deployment practices.

Experience working with Apple Radar, Signals, or similar engineering workflow tools.