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Python Data Developer Jobs in California (NOW HIRING)

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

You should possess deep expertise in Python, data science libraries, and visualization/BI tools to ... DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana ...

Dlapiper

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/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 ...

Dlapiper

Data Engineer

San Diego, CA · On-site

$121K - $146K/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 ...

Dlapiper

Data Engineer

San Francisco, CA

$134K - $162K/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 ...

Xenith Solutions LLC

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/yr

You should possess deep expertise in Python, data science libraries, and visualization/BI tools to ... DevOps roles supporting production data pipelines. Tools * Apps/Platforms: NiFi, Kafka, Grafana ...

Dlapiper

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/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 ...

COGENT Infotech

Python Developer

San Jose, CA · On-site

$59 - $81.25/hr

... data processing workflows, and reusable Python utilities. • Work with relational and/or NoSQL ... teams, DevOps teams, and architects to deliver high-quality solutions. • Write clean, modular ...

New

Nitor Infotech

Python Developer

San Francisco, CA · On-site

Technology Verticals:- o Product Engineering (Microsoft, JAVA and Open Source) o Data Engineering ... Python Developer Location: San Francisco, CA 94103 The hunt is for an Software Developer with the ...

360 IT Professionals

Python Developer

San Francisco, CA · On-site

$59.25 - $81.50/hr

Python Developer Location San Francisco, CA Experience: 9+ year Minimum Responsibilities ... of data storage solutions (may include databases, key-value stores, blob stores, etc ...

Nitor Infotech

Python Developer

San Francisco, CA

$59.25 - $81.50/hr

Technology Verticals:- o Product Engineering (Microsoft, JAVA and Open Source) o Data Engineering ... Python Developer Location: San Francisco, CA 94103 The hunt is for an Software Developer with the ...

Cirrus Group Consulting

Python Developer

San Francisco, CA · On-site

$140K - $175K/yr

We are seeking an experienced Python Developer to join our team supporting the front office. The ... data patterns across multiple databases, environments, and other enterprise sources. • Support ...

AgileEngine

Senior Data Engineer ID75059

San Francisco, CA · On-site +1

$124K - $169K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ...

New

Alpha Red

Python Developer

Monterey, CA

$75K - $200K/yr

... data protectionAccommodating various data storage solutionsKey RequirementsDegree in Computer Science Engineering or a related fieldYou have prior experience as a Python DeveloperGood knowledge ...

AgileEngine

Senior Data Engineer ID75059

Los Angeles, CA · On-site

$114K - $155K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ...

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Python Data Developer information

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 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 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 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 popular job titles related to Python Data Developer jobs in California? For Python Data Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in California look for? The top searched job categories for Python Data Developer jobs in California are:
What cities in California are hiring for Python Data Developer jobs? Cities in California with the most Python Data Developer job openings:
Python Data Developer jobs near you
Manufacturing Data & AI Engineer

Manufacturing Data & AI Engineer

Denken Solutions, Inc.

Foster City, CA

$77.60/hr

Contractor

Posted 13 days ago

Job description

On-Site role

Job Description:

  • Client is seeking a highly motivated Manufacturing Data & AI Engineer to support the development of intelligent manufacturing systems, scalable data architecture, and AI-enabled operational solutions across Manufacturing Operations.
  • Based onsite in Foster City, CA, this role will be responsible for building the data foundation that powers operational reporting, decision-making, process optimization, and future AI applications.
  • The successful candidate will partner closely with Manufacturing, Program Management, Operations, and IT teams to transform manufacturing data into actionable insights and scalable business solutions.
  • This role combines strong data engineering expertise with practical problem-solving to address real-world manufacturing challenges and help establish the next generation of data-driven autonomous vehicle production systems.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines, ETL processes, and data warehouse solutions that support Manufacturing Operations reporting, analytics, and decision-making.
  • Build and manage curated data models and analytics-ready datasets that provide a trusted source of manufacturing performance, quality, and operational metrics.
  • Integrate data from enterprise and manufacturing systems, including SAP HANA, SAP MES, production systems, quality systems, and operational databases.
  • Identify operational challenges and partner with stakeholders to develop AI-enabled solutions, analytics tools, and automation opportunities that improve manufacturing performance.
  • Develop and optimize Python-based data processing solutions and advanced SQL queries to transform, integrate, and analyze complex datasets.
  • Establish robust data governance, validation, monitoring, and quality frameworks to ensure the accuracy, consistency, and reliability of manufacturing data assets.
  • Support the long-term evolution of Manufacturing Operations data architecture, enabling advanced analytics, machine learning, automation, and intelligent manufacturing capabilities.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline.
  • 4-6 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related technical field with significant data responsibilities.
  • Strong proficiency in SQL, Python, data modeling, ETL development, and enterprise-scale data warehousing solutions.
  • Experience designing scalable data architectures and building trusted, analytics-ready datasets that support operational decision-making.
  • Working knowledge of AWS cloud technologies and modern data platforms, with strong understanding of data quality, governance, and monitoring principles.

Preferred Qualifications:

  • Experience working with SAP HANA, SAP MES, or other manufacturing execution and enterprise resource planning systems.
  • Experience developing data models and architectures that support AI, machine learning, and advanced analytics applications.
  • Experience supporting manufacturing, industrial operations, robotics, autonomous systems, or supply chain environments.
  • AWS Certified Data Engineer, AWS Solutions Architect, or equivalent cloud certification.
  • Demonstrated ability to translate business challenges into scalable technical solutions through data, analytics, and AI technologies.

About us:
At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.

For more relevant job opportunities please visit our website: Denken Solutions Careers