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Python Engineer Jobs in Davis, CA (NOW HIRING)

Bespoke Labs

Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

GEI Consultants

AI Engineer

Rancho Cordova, CA · On-site

$110K - $150K/yr

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

GEI Consultants

AI Engineer

Rancho Cordova, CA · On-site

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

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All JobsPython Engineer JobsPython Engineer Jobs in Davis, CA

Python Engineer information

See Davis, CA salary details

$24.9K

$151.3K

$218.9K

How much do python engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for python engineer in Davis, CA is $151,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,400.00 and $177,800.00 per year, depending on experience, location, and employer.

Is Python coding still in demand?

Python engineering remains highly in demand across industries such as data science, web development, and automation due to its versatility and ease of use. Employers seek Python skills for roles involving machine learning, scripting, and backend development, often requiring knowledge of frameworks like Django or Flask and proficiency with version control tools.

Will AI replace Python coders?

AI is unlikely to fully replace Python engineers, as their role involves designing, maintaining, and optimizing complex systems that require human judgment and creativity. While AI tools can automate certain coding tasks, Python developers will continue to be essential for developing new algorithms, debugging, and integrating AI solutions. Staying updated with AI and machine learning skills can enhance a Python engineer's value in the evolving tech landscape.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

What does a Python Engineer do?

A Python Engineer is a software professional who specializes in designing, developing, and maintaining applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, and machine learning. Python Engineers collaborate with other team members to write clean and efficient code, debug issues, and ensure the performance and scalability of applications. Their expertise in Python allows them to leverage its libraries and frameworks to solve complex problems across different industries.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks like Django or Flask and experience in data analysis or machine learning can earn higher salaries, often exceeding $150,000. Many roles also require proficiency in version control, testing, and deployment tools.

What do Python engineers do?

Python engineers develop, test, and maintain software applications using the Python programming language. They often work with frameworks like Django or Flask, write clean code, and collaborate with teams on data analysis, automation, or web development projects.

What are the key skills and qualifications needed to thrive as a Python Engineer, and why are they important?

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python Engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

What Does a Python Engineer Do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

More about Python Engineer jobs
What are popular job titles related to Python Engineer jobs in Davis, CA? For Python Engineer jobs in Davis, CA, the most frequently searched job titles are:
What cities near Davis, CA are hiring for Python Engineer jobs? Cities near Davis, CA with the most Python Engineer job openings:
Python Engineer jobs near you
Infographic showing various Python Engineer job openings in Davis, CA as of July 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $151,291 per year, or $72.7 per hour.
Exciting opportunity for AI Engineer_ Rancho Cordova, CA-Onsite

Exciting opportunity for AI Engineer_ Rancho Cordova, CA-Onsite

Noblesoft Technologies

Rancho Cordova, CA • On-site

Contractor

Re-posted yesterday

Job description

Job Title:  AI Engineer

Location: Rancho Cordova, CA

Mode: Contract (6+ Months)

Job Description:

Responsibilities:

  • Develop, fine tune, and evaluate machine learning and LLM based models.
  • Build end to end AI pipelines including data preprocessing, feature engineering, training, and monitoring.
  • Design and optimize prompting strategies, RAG pipelines, or agent based workflows for LLM applications.
  • Implement production ready AI services and APIs using scalable architectures.
  • Collaborate with product managers and engineers to identify AI use cases and translate requirements into technical solutions.
  • Monitor model performance and drift, implementing continual improvements.
  • Conduct research into emerging AI techniques and tools to recommend adoption where appropriate.
  • Ensure responsible AI practices including fairness, safety, privacy, and compliance.

Required Qualifications:

  • Bachelor’s or Master’s in Computer Science, Machine Learning, Engineering, or a related field.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong software engineering skills in Python, plus experience with APIs, cloud services (Azure, AWS, or GCP), and containerization.
  • Hands on experience building applications using LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, Anthropic).
  • Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG).
  • Experience deploying AI models to production environments.
  • Strong understanding of data structures, algorithms, and system design.