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Python Data Developer Jobs in California (NOW HIRING)

Python Developer

San Jose, CA

$59 - $81.25/hr

... data management services. We have developed our methodologies and processes based on the ... Python Developer Location: San Jose, CA * Good Understanding of the threading limitations of Python ...

Field Design Engineer Location : Cupertino CA 5 days a week onsite(No remote/No WFH) We need ... Expertise in Core Python(Data Structures, OOPs, Data types, File Handling, Exception Handling ...

Data DevOps Engineer

Santa Clara, CA · Hybrid

$200K - $220K/yr

Work on data pipeline on various ML/AI products. * Interface with DevOps teams to build out the ... Strong skills in at least Python, Scala or Java. * Experience in cleaning, processing, managing ...

Field Design Engineer Location : Cupertino CA 5 days a week onsite(No remote/No WFH) We need ... Expertise in Core Python(Data Structures, OOPs, Data types, File Handling, Exception Handling ...

Data DevOps Engineer

Santa Clara, CA · On-site

$200K - $220K/yr

Work on data pipeline on various ML/AI products. * Interface with DevOps teams to build out the ... Strong skills in at least Python, Scala or Java. * Experience in cleaning, processing, managing ...

Python Developer

Sunnyvale, CA · On-site

$60 - $82.50/hr

* Seasoned Python programmer with extensive knowledge in Django ORM framework and cloud technologies ... Design and Implement Data driven product workflows. Analyze and Fine tune Django ORM queries for ...

Strong Python data management programming skills * Data Visualization experience with a user application like Streamlit * Deep knowledge of a second sport including football, basketball, baseball ...

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

Role: Python Developer Locations: Sunnyvale, CA (3 Days Onsite) Project Duration: 06+ Months ... data that we need. * Team also deploys the applications on AWS, so they want someone who has ...

Python Developer

Cupertino, CA · On-site

$62 - $85.50/hr

... and data protection solutions. • Assess and prioritize feature requests • Coordinate with ... Python Developer • Expertise in at least one popular Python framework (like Django, Flask or ...

Senior Python Developer

San Jose, CA

$142.40K - $191.60K/yr

... Data, Test Engineering, Mobility and Business Intelligence/Data Management. We provide high-end ... Senior Python Developer Looking for a passionate Python developer who is excited about joining a ...

Senior Python Developer

San Jose, CA · On-site

$142.40K - $191.60K/yr

... Data, Test Engineering, Mobility and Business Intelligence/Data Management. We provide high-end ... Senior Python DeveloperLooking for a passionate Python developer who is excited about joining a ...

Python Developer

Sunnyvale, CA · On-site

$59 - $81.25/hr

PYTHON DEVELOPER LOCATIONS: SUNNYVALE, CA (3 DAYS ONSITE) INTERVIEW PROCESS: 1 ONSITE INTERVIEW ... data that we need. * Team also deploys the applications on AWS, so they want someone who has ...

Data Engineer

Cupertino, CA · Hybrid

$52 - $67/hr

Responsibilities: • Build and maintain scalable ELT pipelines using SQL and Python • Deploy ... with DevOps practices including CI/CD, monitoring, and automation (AWS preferred) • Ability to ...

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Python Data Developer information

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 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:
Senior Python Engineer

Senior Python Engineer

Avani Technology Solutions, Inc.

Lake Forest, CA • On-site

Full-time

Posted 9 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