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Python Data Developer Jobs in California City, CA

Stratolaunch

Data Systems Engineer

Mojave, CA · On-site

Expertise with at least one programming language such as C/C++/Python * Experience developing data processing scripts for use in Windows and Linux environments * Familiarity with continuous ...

DCS Corporation

Team Hornet Data Analyst

Ridgecrest, CA · On-site

$73K - $92K/yr

System Engineering functions: The DA will support technical engineering reviews, understand system ... Experience with coding in compiled and scripting languages (MatLab, Python, C#, etc.) to develop ...

DCS CORPORATION

Team Hornet Data Analyst

Ridgecrest, CA · On-site

$73K - $92K/yr

System Engineering functions: The DA will support technical engineering reviews, understand system ... Experience with coding in compiled and scripting languages (MatLab, Python, C#, etc.) to develop ...

DCS Corp

Team Hornet Data Analyst

Ridgecrest, CA · On-site

$73K - $92K/yr

System Engineering functions: The DA will support technical engineering reviews, understand system ... Experience with coding in compiled and scripting languages (MatLab, Python, C#, etc.) to develop ...

DCS Corporation

Team Hornet Data Analyst

Ridgecrest, CA · On-site

$73K - $92K/yr

System Engineering functions: The DA will support technical engineering reviews, understand system ... Experience with coding in compiled and scripting languages (MatLab, Python, C#, etc.) to develop ...

Nexla

Software Engineer (Bay Area)

California City, CA · On-site

Nexla makes data users and developers up to 10x more productive by delivering a true blend of no ... Build on distributed Python runtimes: Dive into Ray, Arrow, and modern data-processing stacks ...

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All JobsPython Data Developer JobsPython Data Developer Jobs in California City, CA

Python Data Developer information

See California City, CA salary details

$16

$71

$105

How much do python data developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python data developer in California City, CA is $71.90, according to ZipRecruiter salary data. Most workers in this role earn between $59.28 and $81.68 per hour, depending on experience, location, and employer.

What is a Python data developer?

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 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 popular job titles related to Python Data Developer jobs in California City, CA?

For Python Data Developer jobs in California City, CA, the most frequently searched job titles are:

What job categories do people searching Python Data Developer jobs in California City, CA look for?

The top searched job categories for Python Data Developer jobs in California City, CA are:

What cities near California City, CA are hiring for Python Data Developer jobs?

Cities near California City, CA with the most Python Data Developer job openings:

Python Data Developer jobs near you
Infographic showing various Python Data Developer job openings in California City, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $149,544 per year, or $71.9 per hour.

Associate Director - Data Science

California City, CA

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics Inc.external

$72K - $73K/yr

Full-time

Re-posted 21 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Associate Director / Senior Manager of Data Science to lead high-impact applied ML and analytics initiatives. This role combines deep technical expertise, strong experimentation rigor, and business leadership to influence product direction and drive measurable outcomes at scale.

Responsibilities:

  • Own and drive end-to-end data science workstreams from problem definition to production and impact measurement.
  • Build and scale statistical and ML models for personalization, recommendations, growth optimization, fraud, and experimentation platforms.
  • Partner closely with Product, Engineering, Marketing, and Leadership to define success metrics, trade-offs, and roadmaps.
  • Design and maintain production ML pipelines using Python, SQL, Airflow, and modern data tooling.
  • Collaborate with client stakeholders to translate business needs into high-level analytical solution designs.
  • Present insights and solutions to business leaders, demonstrating impact and value.
  • Manage analytics projects and coordinate with global client and Tiger teams.
  • Lead requirement discussions, and oversee planning, development, and documentation of DS/AI solutions.
  • Partner with technical teams to select appropriate analytical methods and generate actionable insights.
  • Communicate results to senior leadership and support the operationalization of analytics solutions.

Requirements

  • 12 - 15 years of professional experience in Data Science, Applied ML, or Advanced Analytics, with leadership at scale..
  • Must have experience working on traditional ML Models. Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
  • Strong hands-on expertise in Python, SQL, and statistical modeling.
  • Familiarity with data orchestration and workflows (Airflow, Git-based CI/CD, Fivetran).
  • Strong understanding of cloud-native data and ML platforms (AWS, GCP, Azure).
  • Excellent communication skills with the ability to influence Director+ stakeholders.
  • Identify and implement improvements to analytics workflows and processes to enhance efficiency and effectiveness.
  • Ensure all analytical activities adhere to guidelines, regulatory requirements, and industry standards.
  • Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches.
  • A solid understanding of statistical and machine-learning algorithms is a plus.
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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