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Python Data Developer Jobs in Palos Verdes Estates, CA

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

Strong programming skills in Python or another modern scripting language required. * Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

Strong programming skills in Python or another modern scripting language required. * Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.

Mantek Solutions

Data Engineer

Pasadena, CA · On-site

$125K - $150K/yr

Data Engineer Direct Hire - Onsite Pasadena W2 Only (No Sponsorship/C2C) We are looking for a Data ... Core Tech : Strong Python, advanced SQL, and cloud platform experience (AWS/Azure/GCP). * Data ...

ALO

Manager of Data Engineering

Beverly Hills, CA

$200K - $230K/yr

Remain hands-on by designing solutions, writing SQL and Python, reviewing code, and contributing ... of experience in data engineering, software engineering, platform engineering, or related ...

ALO

Manager of Data Engineering

Beverly Hills, CA · On-site

$200K - $230K/yr

Remain hands-on by designing solutions, writing SQL and Python, reviewing code, and contributing ... of experience in data engineering, software engineering, platform engineering, or related ...

AnySignal LLC

Software Engineer (Python)

Los Angeles, CA · On-site

$120K - $170K/yr

The Role As a Python Software Engineer, you will own AnySignal's data aggregation, test, and automation framework that enables testing of hardware, software, and DSP systems. You will work closely ...

Crunchyroll, LLC

Data Engineer III

Los Angeles, CA · Hybrid

$123K - $148K/yr

The Data Engineering team provides seamless help to our internal stakeholders, ensuring an ... Must be proficient in both TypeScript and Python * Design, build, and maintain scalable ...

Living Spaces - Corporate

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

... Python or PowerShell Git Azure DevOps or GitHub Actions CI/CD practices Infrastructure as code concepts API-based data integrations Monitoring and observability Database security and access control ...

YO AI Labs

Senior Data Engineer

Glendale, CA · On-site

$112K - $152K/yr

Databricks and Python expertise. Qualifications: * 5+ years of data engineering experience developing large data pipelines * Proficiency in at least one major programming language. * Expertise on ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

... • Python or PowerShell • Git • Azure DevOps or GitHub Actions • CI/CD practices • Infrastructure as code concepts • API-based data integrations • Monitoring and observability • ...

HeyGen

Software Engineer, Data

Los Angeles, CA · On-site

$123K - $148K/yr

Design, develop, and maintain robust batch and real-time data pipelines (using Python, Go, Spark ... Collaborate with ML engineers to implement data structures and APIs for new, exciting features like ...

AnySignal

Software Engineer (Python)

Los Angeles, CA · On-site

$120K - $170K/yr

The Role As a Python Software Engineer, you will own AnySignal's data aggregation, test, and automation framework that enables testing of hardware, software, and DSP systems. You will work closely ...

Crunchyroll, LLC

Data Engineer III

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineering team provides seamless help to our internal stakeholders, ensuring an ... Must be proficient in both TypeScript and Python * Design, build, and maintain scalable ...

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Showing results 21-40

All JobsPython Data Developer JobsPython Data Developer Jobs in Palos Verdes Estates, CA

Python Data Developer information

See Palos Verdes Estates, CA salary details

$14

$65

$95

How much do python data developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for python data developer in Palos Verdes Estates, CA is $65.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $73.94 per hour, depending on experience, location, and employer.

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 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 job categories do people searching Python Data Developer jobs in Palos Verdes Estates, CA look for? The top searched job categories for Python Data Developer jobs in Palos Verdes Estates, CA are:
What cities near Palos Verdes Estates, CA are hiring for Python Data Developer jobs? Cities near Palos Verdes Estates, CA with the most Python Data Developer job openings:
Python Data Developer jobs near you

Lead Data Engineer - Experimentation Platform - 1633

aKube, Inc.

Santa Monica, CA • On-site

$100/hr

Contractor

Re-posted 11 days ago

Job description


City:Santa Monica, CA
Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)
Duration: 6Months
Rate Range: Upto $100/hr on W2
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
  • Python
  • SQL
  • Data Engineering
  • ETL / ELT
  • Apache Spark
  • Databricks
  • Snowflake
  • Apache Kafka
  • Apache Airflow
  • Streaming Data Pipelines
  • Data Modeling
  • Data Warehousing / Lakehouse
  • A/B Testing / Experimentation Platforms
  • CI/CD for Data Pipelines
  • Data Quality & Data Governance
  • Cloud Data Platforms
Responsibilities:
  • Design and build scalable data platforms supporting experimentation and A/B testing.
  • Develop batch and streaming data pipelines for large-scale user and product datasets.
  • Build reusable datasets and frameworks for experimentation, analytics, and product measurement.
  • Design dimensional data models and analytics-ready data products.
  • Implement automated data quality, validation, monitoring, lineage, and governance.
  • Build production-grade deployment pipelines with CI/CD and observability.
  • Partner with Product, Engineering, Data Science, and Analytics teams to deliver scalable data solutions.
  • Optimize data infrastructure supporting experimentation, personalization, and machine learning workloads.
  • Mentor engineers and establish best practices for large-scale data engineering.
Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
  • 7+ years of experience in data engineering or large-scale data platforms.
  • Strong experience with distributed data processing and cloud-based data architectures.
  • Hands-on experience with Python, SQL, Spark, Databricks, Snowflake, Kafka, and Airflow.
  • Strong understanding of data modeling, ETL/ELT, streaming architectures, and lakehouse concepts.
  • Experience building experimentation, analytics, personalization, or ML data platforms.
  • Experience implementing CI/CD, automated testing, monitoring, and data governance.
  • Strong system design and architecture experience.
  • Experience mentoring engineers and leading technical initiatives.
Nice to Have:
  • Experimentation platforms or A/B testing infrastructure.
  • Causal inference or product analytics experience.
  • ML feature engineering and model lifecycle pipelines.
  • Infrastructure automation and observability.
  • Subscription, streaming media, advertising, or consumer product experience.
  • MS or PhD in a related technical field.

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