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Entry Level Python Jobs in Los Angeles, CA (NOW HIRING)

... languages such as Python and C++ to build robust data models - Managing data pipelines and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Infrastructure Engineer - Early Career

Torrance, CA · On-site

$111K - $146K/yr

They are seeking an Infrastructure Engineer for an entry-level role that offers broad exposure ... Python, Go, Bash, or similar). • Strong written communication. Able to describe problems ...

Infrastructure Engineer - Early Career

Torrance, CA · On-site

$111K - $146K/yr

They are seeking an entry-level Infrastructure Engineer to gain broad exposure across the stack and ... Python, Go, Bash, or similar). • Strong written communication. Able to describe problems ...

Masters or MBA in related field preferred. * Entry level knowledge of residential mortgage industry ... use of tools like R or Python. * Intermediate speaking and writing communication skills.

The successful candidate will bring experience in either drawing based software (AutoCAD, Revit, etc.) and/or data analysis/programming languages (Excel, VBA, Python, etc,). This position can be ...

The successful candidate will bring experience in either drawing based software (AutoCAD, Revit, etc.) and/or data analysis/programming languages (Excel, VBA, Python, etc,). This position can be ...

Computer programming languages (e.g., Dynamo, Python, Grasshopper) preferred * Must be eligible to work in the US without the need for employer sponsored work authorization now or in the future to be ...

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Entry Level Python information

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How much do entry level python jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for entry level python in Los Angeles, CA is $63.17, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $71.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Python Developer, and why are they important?

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development environments such as PyCharm or VS Code are often expected. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and collaborate effectively with peers. These skills ensure you can contribute to projects, learn from feedback, and grow within dynamic software development teams.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for entry-level developers in 2026 due to its versatility in data analysis, web development, automation, and machine learning. Employers value Python proficiency along with knowledge of frameworks like Django or Flask and familiarity with version control tools such as Git.

What entry level jobs can you get with Python?

Entry-level Python jobs include roles such as Python developer, data analyst, automation tester, and junior software engineer. These positions typically require basic programming skills, familiarity with Python libraries, and often involve tasks like scripting, data processing, or testing in a team environment.

What is the difference between Entry Level Python vs Data Analyst?

AspectEntry Level PythonData Analyst
Required SkillsBasic Python programming, problem-solvingData visualization, SQL, Excel, some Python
CertificationsPython for Beginners, Entry-Level ProgrammingGoogle Data Analytics, Microsoft Excel Certification
Work EnvironmentTech companies, startups, software teamsBusiness, finance, marketing departments
Industry UsageSoftware development, automation, scriptingData analysis, reporting, decision-making

Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.

What are some common challenges faced by entry level Python developers in their first role?

Entry level Python developers often encounter challenges such as understanding legacy codebases, adapting to team coding standards, and effectively using version control systems like Git. Additionally, they may need to quickly learn new frameworks or tools relevant to the project. Collaborating with more experienced developers and asking questions is key to overcoming these hurdles and growing technical skills.

What Are Entry-Level Python Jobs?

Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.

Which pays more, C++ or Python?

For entry-level Python developers, salaries are generally comparable to those of C++ developers, with variations depending on industry, location, and experience. Python skills are often in higher demand for roles involving data analysis, machine learning, and web development, which can influence compensation. Overall, both languages offer strong earning potential for entry-level positions, especially when combined with relevant tools and certifications.

How do I get a job in Python with no experience?

Entry-level Python jobs often require basic programming skills, which can be gained through online courses, tutorials, and practicing coding projects. Building a portfolio of small projects and learning relevant tools like Git and understanding fundamental concepts can improve your chances, even without formal work experience.

What does an Entry Level Python developer do?

An Entry Level Python developer is responsible for writing, testing, and debugging code using the Python programming language. They typically assist in building and maintaining software applications, automating simple tasks, and supporting senior developers in various projects. Entry-level roles are ideal for those new to the field and often focus on learning best coding practices and gaining real-world experience through hands-on projects.
What are the most commonly searched types of Python jobs in Los Angeles, CA? The most popular types of Python jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Entry Level Python jobs? Cities near Los Angeles, CA with the most Entry Level Python job openings:
Infographic showing various Entry Level Python job openings in Los Angeles, CA as of June 2026, with employment types broken down into 42% Internship, 43% Full Time, and 15% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $131,384 per year, or $63.2 per hour.
Junior Data Scientist - Clearance Required

Junior Data Scientist - Clearance Required

Logistics Management Institute

El Segundo, CA

$69K - $118K/yr

Full-time

Posted 19 days ago


Job description

LMI is actively seeking a dynamic, Entry-level Data Scientist to join LMI’s Space Market data scientist team in Colorado Springs, CO. This role involves working directly with USSF and US Government customers, as well as analytical partners, to drive the development of responsive, high-performance user interfaces within LMI’s Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTR®.

The ideal candidate is passionate about Space and interested in using data science skills to help guide USSF into the future. In this role, you will join the data science team to analyze simulations of USSF portfolios, to include supporting Guardian training. You will be assisting the data science team to create robust analysis pipelines. You’ll work with our high-tech customers to understand their technology, investment, performance, resilience, and policy questions and use this insight to craft high-performance analytical pipelines for use in workstation, server, and cloud (AWS) deployment environments. 

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


  • Collaborate with an integrated team of data scientists, data analysts, and functional SMEs to develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
  • Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.
  • Understand and analyze complex datasets
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use
  • Support the maturation of data quality
  • Transform data and analysis into informative visualizations and interactive dashboards
  • Provide regular detailed reporting to management and customers
  • Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers

Required:

  • Bachelor’s degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline
  • Competency with data science/analysis coding languages like SQL, Python, or R
  • Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
  • Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
  • Self-starter with the vision to independently identify opportunities for improvement through data analytics
  • Ability to work in teams and independently
  • Excellent communication skills, written and oral
  • Innovative problem-solving skills and ability to thrive in a fast-paced environment
  • Active TS with SCI eligibility is required

Desired:

  • Advanced degree in Computer Science or related field.
  • Experience using python libraries to build machine learning models like regression models and decision trees
  • Experience with version control software e.g Git
  • Proficiency in either SQL (e.g., MySQL, PostgreSQL) or NoSQL (e.g., MongoDB) databases.
  • Experience with back-end technologies (Rust, Python, Java) within agile development frameworks
  • Passionate desire to make the joint warfighter world a better place with cost-effective, performant space architectures which enable operations and mission success
  • Space domain experience and familiarity with space-focused software solutions.
  • Possess a natural curiosity and desire to challenge yourself and those around you
  • Knowledge of cybersecurity best practices.
  • Active TS clearance with SCI eligibility or prior experience working on government-related projects

Target salary range: $69,986 - $118,154

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.