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Entry Level Python Data Analysis Jobs in Long Beach, CA

Miller Kaplan Arase LLP

Junior Data Analyst

Burbank, CA · On-site

... Python scripts to automate recurring data tasks, reporting, and file processing. * Support the ... Identify potential strategies to address issues uncovered during data analysis and provide well ...

New

Tatari

Data Science Analyst

Los Angeles, CA

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance * Use best-in ...

Integritymarketing

Remote Data Analyst

Orange, CA

Working knowledge of at least one programming language for data analysis (Python, R, or similar tool). * Database Skills : Knowledge of database & data warehouse structure, experience using SQL for ...

New

Capstone Energy+, Inc.

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

KEY RESPONSIBILITIES Data Analysis & Reporting * Collect, validate, and analyze large datasets from ... Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.

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All JobsPython Data Analysis JobsEntry Level Python Data Analysis JobsEntry Level Python Data Analysis Jobs in Long Beach, CA

Entry Level Python Data Analysis information

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$13

$34

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How much do entry level python data analysis jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level python data analysis in Long Beach, CA is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $22.26 and $38.65 per hour, depending on experience, location, and employer.

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

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

What are the most commonly searched types of Python Data Analysis jobs in Long Beach, CA?

The most popular types of Python Data Analysis jobs in Long Beach, CA are:

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For Entry Level Python Data Analysis jobs in Long Beach, CA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Python Data Analysis jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Entry Level Python Data Analysis jobs?

Cities near Long Beach, CA with the most Entry Level Python Data Analysis job openings:

Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Long Beach, CA as of June 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,013 per year, or $34.6 per hour.

Data Engineering Summer Intern (May-Aug '27)

Skyworks

Irvine, CA • On-site

Temporary, Internship

Posted 8 days ago

Job description

Data Engineering Summer Intern (May-Aug '27)
Posting Start Date: 8/25/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78258
Job Description:
Description
We are looking for a motivated Student Engineer to join our Enterprise Systems and Data Engineering team. You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers practical exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production engineering practices.
This summer internship period is from May/June to August/September 2027.
Responsibilities
What you will work on -
  • Develop and maintain data ingestion and transformation pipelines using Python, SQL, PySpark, and Databricks notebooks.
  • Use Databricks Workflows and jobs to orchestrate, schedule, monitor, and troubleshoot data processing activities.
  • Build and test ETL/ELT solutions for structured and semi-structured data from enterprise systems, databases, files, and APIs.
  • Work with Delta Lake and lakehouse concepts, including Bronze, Silver, and Gold data layers.
  • Apply data profiling, validation, reconciliation, and quality checks to improve data reliability.
  • Assist with onboarding new datasets into Azure Data Lake Storage and Databricks.
  • Support pipeline monitoring, root-cause analysis, defect resolution, and documentation.
  • Use Git and CI/CD practices for version control, peer review, testing, and controlled deployments.
  • Collaborate with data engineers, analysts, platform teams, and business stakeholders to understand requirements and deliver usable data products.

Databricks Learning Focus
  • Hands-on exposure may include: Databricks workspace and notebooks, Apache Spark and PySpark, Delta Lake, Databricks Workflows, SQL Warehouses, Unity Catalog fundamentals, data quality controls, performance basics, and lakehouse architecture.

What You Could Learn
  • Databricks & Spark - Develop notebooks and scalable transformations with SQL, Python, and PySpark.
  • Pipeline Engineering - Understand ingestion, orchestration, testing, monitoring, and operational support.
  • Cloud Data Platforms - Work with Azure-based storage, integration, and data processing patterns.
  • Data Quality & Governance - Apply validation, documentation, access control, lineage, and reliability practices.
  • Engineering Delivery - Gain experience with Git, code reviews, CI/CD, Agile delivery, and stakeholder collaboration.

Required Experience and Skills
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Electronics Engineering, or a related technical discipline.
  • Ability to work on-site for 3 month internship period
  • Basic programming proficiency in Python and the ability to write clear, testable code.
  • Working knowledge of SQL, relational databases, joins, aggregations, and data manipulation.
  • Understanding of data structures, algorithms, and software engineering fundamentals.
  • Strong analytical and problem-solving skills with attention to detail.
  • Clear written and verbal communication skills, with the ability to collaborate in a team environment.
  • Curiosity, accountability, and willingness to learn new technologies.

Desired Experience and Skills
  • Academic, internship, or personal project experience with Databricks, Apache Spark, or PySpark.
  • Exposure to Microsoft Azure, Azure Data Factory, Azure Data Lake Storage, or Azure SQL.
  • Understanding of ETL/ELT, data warehousing, lakehouse, or medallion architecture concepts.
  • Familiarity with Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI.
  • Awareness of data governance, security, access control, or data quality principles.
  • Databricks or Microsoft Azure learning credentials are an advantage but not required.

Ideal Candidate Profile
  • Takes ownership of assigned work and communicates progress or blockers early.
  • Approaches problems methodically and validates results before considering work complete.
  • Can learn independently while seeking guidance at the right time.
  • Values clean code, documentation, data security, and reliable delivery.
  • Is interested in building a long-term career in data engineering and cloud data platforms.

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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