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Python Data Developer Jobs in California (NOW HIRING)

Diverse Lynx

Lead Python Data Engineer

Irvine, CA · On-site

Job Summary : Diverse Lynx is seeking a Lead Python Data Engineer to join their team. The role involves hands-on experience in Python data engineering and requires expertise in AWS and data ...

Pddn

Python Data Engineer

San Francisco, CA

$110K - $130K/hr

Must have strong experience in Python Programming. Must have strong experience in SQL. Experience in building and optimizing data pipelines, architectures and data sets. Experience in processing and ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Python - Data processing, analytics, scripting. Data Visualization Power BI - Dashboard creation ... Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data ...

TextNow

Data Developer

San Francisco, CA · On-site

They are looking for an experienced Data Developer to design, develop, and maintain their data ... Python and SQL -- preferably in companies with fast-growing and evolving data needs. • Have at ...

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA

$134K - $161K/yr

Python , Data Engineering Nice to have : Docker , Kuebernetes Looking for experienced Python engineers with a background in data engineering. Should be familiar with modern data platforms like Apache ...

IDC Technologies

Data Engineer in Sunnyvale CA

Sunnyvale, CA · On-site

$134K - $161K/yr

Python , Data Engineering Nice to have : Docker , Kuebernetes Looking for experienced Python engineers with a background in data engineering. Should be familiar with modern data platforms like Apache ...

Addison Group

Senior Data Engineer

Emeryville, CA · On-site

$140/day

Strong Python skills, Git-based development, and exposure to CI/CD and modern orchestration tools ... Azure DevOps or GitHub Actions) · dbt, Airflow, Dagster, or Prefect (nice to have)  Addison ...

Addison Group

Senior Data Engineer

Emeryville, CA · On-site

$140/day

Strong Python skills, Git-based development, and exposure to CI/CD and modern orchestration tools ... DevOps or GitHub Actions) • dbt, Airflow, Dagster, or Prefect (nice to have) Addison Group is an ...

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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

Lead Python Data Engineer

Diverse Lynx

Irvine, CA • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Diverse Lynx is seeking a Lead Python Data Engineer to join their team. The role involves hands-on experience in Python data engineering and requires expertise in AWS and data transformation, with a focus on working closely with clients to gather requirements and develop solutions.
Responsibilities:
• Very strong hands-on experience in in Python data engineering processing, Data processing development project.
• Must have experience in AWS cloud services
• Working experience in any AI related project is a good advantage.
• Practical experience with Data Engineering, Data transformation/Orchestration.
• Experience in offshore/onshore model and Ability and agile methodology.
• Should have good experience working with client at client site with architect/design team to understand the requirement and work on the development.
• Gathering requirements, understand the business need and regular discussion with tech on design, development activities.
• Experience working in a Financial Industry.
Qualifications:
Required:
• Python
• AWS
• SQL
• Very strong hands-on experience in Python data engineering processing, Data processing development project.
• Must have experience in AWS cloud services
• Practical experience with Data Engineering, Data transformation/Orchestration.
• Experience in offshore/onshore model and Ability and agile methodology.
• Should have good experience working with client at client site with architect/design team to understand the requirement and work on the development.
• Gathering requirements, understand the business need and regular discussion with tech on design, development activities.
• Experience working in a Financial Industry.
• 10+ years of experience
• Certifications Needed: Python/Data Engineer/Cloud
Preferred:
• Agile
• AI
Company:
Diverselynx IT Consulting Services Founded in 2002, the company is headquartered in Princeton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

Social media

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