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Python Data Developer Jobs in California (NOW HIRING)

AgileEngine

Senior Data Engineer ID75059

San Francisco, CA · On-site +1

$124K - $169K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... Design and implement Python Data Engineering solutions; * Design and build scalable Data Lakes ...

Atria Group LLC

Python Developer

San Jose, CA · On-site

$59 - $81.25/hr

The Python Developer will create web applications using primarily Python * Work closely with our ... Build report interfaces and data feeds JOB REQUIREMENTS Working on the Cloud Automation ...

AgileEngine

Senior Data Engineer ID75059

San Francisco, CA · On-site

$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 ...

Versa Networks

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 ...

itechstack

Field Design Engineer

Cupertino, CA · On-site

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 ...

Comtech, LLC

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 ...

itechstack

Field Design Engineer

Cupertino, CA

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 ...

Versa Networks

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 ...

TestingXperts Inc. DBA Damcosoft

Python Developer

San Jose, CA · On-site

$59 - $81.25/hr

Python Engineer Location : San Jose, CA - F2F interview Must No of openings/positions 6 Job Title ... Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

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 ...

Laiba Technologies LLC

Python developer

San Jose, CA · On-site

$59 - $81.25/hr

Python Engineer Location: San Jose, CA (Onsite) In-person Interview -Santa Clara, CA Python ... Implement and manage secure identity protocols (OAuth2, JWT, OpenID Connect) to protect user data ...

Redolent, Inc.

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 ...

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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
Senior Data Engineer ID75059

Senior Data Engineer ID75059

AgileEngine

San Francisco, CA • On-site, Remote

$124K - $169K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
  • Design and implement Python Data Engineering solutions;
  • Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
  • Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
  • Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
  • Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
  • Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
  • Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
  • Work with Terraform and other tools to build AWS and on-prem infrastructure.

MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
  • 5+ years of experience with Python;
  • 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
  • 2+ years of experience with Big Data technologies (Spark, Snowflake);
  • Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
  • Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
  • Proven ability to work with 3rd party APIs for complex data ingestion tasks;
  • Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
  • Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
  • Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
  • A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
  • Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
  • Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
  • Upper-intermediate English level.

NICE TO HAVES
  • Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
  • Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
  • OpenSearch, Elasticsearch;
  • AWS Sagemaker Studio, Jupyter for analyze data;
  • Terraform;
  • Scala.

PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.

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