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Python Data Jobs in San Diego, CA (NOW HIRING)

Shimento, Inc.

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

Title: Data Engineer Location: Carlsbad, CA / Tempe, AZ (Hybrid - 3 days onsite) Duration ... Strong experience with SQL and Python . * Hands-on experience with ELT/ETL pipeline development.

Arsenault Inc

Senior Data Analyst

San Diego, CA

$91K - $115K/yr

Leveraging your language of choice (e.g., SQL, Python) to shape and structure data sets for analysis * Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing ...

Atria Group LLC

Need Data Scientist

San Diego, CA · On-site

Ability to quickly understand patterns within large quantity of data and to reference key ... Java, Python, R, or related languages * 1-3+ years' experience manipulating large datasets and ...

CPMC LLC

Data Scientist

San Diego, CA · On-site

CPMC, LLC is seeking talented Data Scientists to join our team for an active government contract ... Experience with dataoriented programming languages (e.g., Python, R) and visualization tools.

Bespoke Labs

Data Engineer

San Diego, CA · On-site

$121K - $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 ...

Qualcomm

Data Engineer, Staff

San Diego, CA · On-site

$121K - $146K/yr

... Python). • 3+ years of work experience with SQL or NoSQL Databases. • 3+ years of work experience with Data Structures and algorithms. • 8+ years of experience building and operating data ...

Qualcomm

Data Engineer, Staff

San Diego, CA · On-site

$132 - $198/hr

Strong proficiency in Python for framework development, data processing, and automation ... Experience building data platforms that support multiple consumers and automated workflows.

Qualcomm Technologies

Data Engineer, Staff

San Diego, CA · On-site

$121K - $146K/yr

Strong proficiency in Python for framework development, data processing, and automation * Experience building data platforms that support multiple consumers and automated workflows Security ...

Qualcomm

Data Engineer, Staff

San Diego, CA · On-site

$121K - $146K/yr

Strong proficiency in Python for framework development, data processing, and automation * Experience building data platforms that support multiple consumers and automated workflows Security ...

Booz Allen Hamilton

Data Scientist, Mid

San Diego, CA · On-site

$69K - $158K/yr

Experience with statistical and general-purpose programming languages for data analysis,including Python, SQL, or R * Experience developing predictive data models, quantitative analyses, or ...

Akraya Inc.

Sr. Data Scientist : 26-02167

San Diego, CA · On-site

$75 - $85/hr

SQL (Advanced), Python (Advanced), Tableau (advanced), A/B testing (Advanced), Causal Inference ... Develop and automate data analysis pipelines. * Translate complex findings for diverse audiences.

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... Uses query languages, such as SQL, scripting languages, such as R and/or Python to produce reports ...

4Liberty

Data Analyst

San Diego, CA · Hybrid

The Data Analyst is responsible for creating reports, visualizations, dashboards, and metrics that ... Uses query languages, such as SQL, scripting languages, such as R and/or Python to produce reports ...

Apple

Data Scientist

San Diego, CA · On-site

... with Python for data exploration and analysis Preferred Qualifications PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system ...

Apple

Data Scientist

San Diego, CA · On-site

... Python for data exploration and analysis Preferred Qualifications MS or PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system ...

Apple, Inc.

Data Scientist

San Diego, CA · On-site

... with Python for data exploration and analysis Preferred Qualifications PhD in EE, ECE, CS, Statistics, HCI, Cognitive Science, or a related field Strong understanding of ML and sensing system ...

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All JobsPython Data JobsPython Data Jobs in San Diego, CA

Python Data information

See San Diego, CA salary details

$14

$62

$91

How much do python data jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data in San Diego, CA is $62.24, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.67 per hour, depending on experience, location, and employer.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What are popular job titles related to Python Data jobs in San Diego, CA?

For Python Data jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Python Data jobs in San Diego, CA look for?

The top searched job categories for Python Data jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Python Data jobs?

Cities near San Diego, CA with the most Python Data job openings:

Python Data jobs near you
Infographic showing various Python Data job openings in San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,457 per year, or $62.2 per hour.

Data Engineer

Shimento, Inc.

Carlsbad, CA • On-site

$118K - $142K/yr

Other

Re-posted 24 days ago

Job description

Title: Data Engineer

Location: Carlsbad, CA / Tempe, AZ (Hybrid – 3 days onsite)
Duration: Full-Time

Job Summary

Our client is seeking a Data Engineer to design, build, and support modern cloud-based data platforms. The ideal candidate will have experience developing ELT/ETL pipelines, working with Google Cloud Platform or Azure, and supporting enterprise data solutions. This role will also contribute to cloud migration initiatives and next-generation AI-enabled data platforms.

 

Key Responsibilities

  • Develop and maintain ELT/ETL pipelines using Airbyte, DBT, Google Cloud Platform/BigQuery.
  • Build and orchestrate workflows using Prefect.
  • Manage and optimize BigQuery datasets, performance, and access controls.
  • Support migration of legacy Azure data pipelines to Google Cloud Platform.
  • Monitor and troubleshoot data pipelines using cloud observability tools.
  • Contribute to Infrastructure as Code using Terraform, Git, and CI/CD workflows.
  • Collaborate with global teams to ensure reliable data delivery and maintain operational documentation.

 

Required Skills

  • Strong experience with SQL and Python.
  • Hands-on experience with ELT/ETL pipeline development.
  • Experience with Google Cloud Platform or Azure cloud platforms.
  • Proficiency with Git, code reviews, and version control.
  • Ability to troubleshoot data issues and work independently in a distributed environment.

 

Preferred Skills

  • Experience with DBT, Airbyte, Prefect, BigQuery, and Looker.
  • Knowledge of Terraform and Infrastructure as Code.
  • Exposure to Grafana, Azure Monitor, or Google Cloud Platform monitoring tools.
  • Experience with BI tools such as Looker, Power BI, SAP Analytics Cloud (SAC), or OBIEE.
  • Familiarity with SRE concepts, automation, and AI-assisted data workflows.

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