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Python Data Developer Jobs in Torrance, CA (NOW HIRING)

Sr Data Engineer

San Pedro, CA ยท On-site

$116K - $140K/yr

The ideal candidate can translate business needs into technical specifications, write efficient SQL and Python code, and apply modern data engineering best practices across cloud-based environments.

Data Engineer

Los Angeles, CA

$123K - $148K/yr

You'll lead data engineering initiatives, ensure governance and compliance, optimize performance ... Hands-on experience with Azure Cloud (Databricks, DevOps, DataFactory) * Strong Python, PySpark ...

Strong experience with distributed systems and web applications using Go, Rust, or Python. * Data ... Engineering At Sift You'll have the opportunity to help evolve and scale our platform because we're ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Data Engineer

Los Angeles, CA ยท On-site

$60/hr

Serve as developer of key DTC analytical models like customer lifetime value, attribution, churn ... Expert proficiency in Python and SQL. * Hands-on experience with experimentation platforms, uplift ...

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Python for data engineering and automation. * Advanced SQL (complex queries, optimization, performance tuning). * Snowflake (hands-on implementation and optimization). * Understanding of OLTP vs.

New

Databricks Data Engineer

Los Angeles, CA ยท On-site

$123K - $148K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

Engineer II, Data Engineering

Los Angeles, CA ยท Hybrid

$123K - $148K/yr

Engineer II - Data Engineering New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Hybrid ... Java and script languages (UNIX Shell, Perl, Python etc.) * Familiar with process, infra, and ...

Azure Data Engineer

Downey, CA ยท On-site

$117K - $140K/yr

... Python - Azure Cloud - Azure Data Factory - Databricks - DataOps. This classification must have a minimum of seven (7) years of applying Enterprise Architecture principles. At least five (5) years of ...

Software Engineer (Python)

Los Angeles, CA ยท 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 ...

Data Engineer III

Los Angeles, CA ยท 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 ...

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Python Data Developer information

See Torrance, CA salary details

$13

$61

$90

How much do python data developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python data developer in Torrance, CA is $61.21, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 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 are Python Data Developers?

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 are popular job titles related to Python Data Developer jobs in Torrance, CA? For Python Data Developer jobs in Torrance, CA, the most frequently searched job titles are:
What job categories do people searching Python Data Developer jobs in Torrance, CA look for? The top searched job categories for Python Data Developer jobs in Torrance, CA are:
What cities near Torrance, CA are hiring for Python Data Developer jobs? Cities near Torrance, CA with the most Python Data Developer job openings:
Sr Data Engineer

Sr Data Engineer

Pediatric Associates

San Pedro, CA โ€ข On-site

$116K - $140K/yr

Full-time

Posted 10 days ago


Job description

The Data Engineer is responsible for building, maintaining, and optimizing reliable ELT/ETL workflows that support enterprise-wide data and analytics requirements. This role focuses on hands-on development of data pipelines, data models, and transformation logic to ensure high-quality, accessible, and well-structured data for analytical and operational use cases.
The Data Engineer works closely with data analysts, data scientists, product managers, and business stakeholders to understand requirements, contribute to technical solution design, and implement robust data engineering capabilities. The ideal candidate can translate business needs into technical specifications, write efficient SQL and Python code, and apply modern data engineering best practices across cloud-based environments.
Key Responsibilities
  • Develop, maintain, and optimize scalable ELT/ETL pipelines using modern data engineering tools and frameworks.
  • Implement and refine data models, schemas, and data structures to support analytics, reporting, and operational workloads.
  • Participate in solution design discussions, contributing to data strategies and technical decisions.
  • Create and maintain high-quality SQL queries, transformation logic, and reusable data processing components.
  • Ensure data quality by implementing validation rules, profiling checks, monitoring, and reconciliation processes.
  • Collaborate with cross-functional teams to gather requirements, troubleshoot issues, and deliver reliable data solutions.
  • Monitor pipeline performance, address failures, and continuously improve reliability, cost, and scalability.
  • Support data governance and security policies across cloud and on-premise systems.
  • Produce clear documentation and communicate technical concepts in a user-friendly manner.
  • Contribute to team best practices, standards, and process improvements.

Required Qualifications
  • 5-10 years of experience in data engineering or related fields.
  • Strong proficiency in SQL and experience with data transformation technologies (e.g., Azure Data Factory, Apache Spark, Glue).
  • Experience building and maintaining ELT/ETL pipelines in cloud platforms (AWS, Azure, or GCP).
  • Solid understanding of data modeling (dimensional modeling, star schema, normalization).
  • Hands-on experience with modern data warehousing platforms such as Databricks, Snowflake, or Azure Synapse.
  • Strong programming skills in Python or another modern scripting language.
  • Experience working with CI/CD workflows; familiarity with tools like Databricks Asset Bundles (DABs) is a plus.
  • Ability to translate business requirements into technical specifications and data solutions.
  • Excellent communication and documentation skills.
  • Experience building Power BI data models or developing analytical datasets is preferred.

Soft Skills
  • Strong analytical and problem-solving skills with a proactive mindset.
  • Ability to work independently and collaborate effectively within cross-functional teams.
  • Comfortable participating in technical conversations and contributing ideas.
  • High attention to detail, ownership, and accountability in delivering high-quality solutions.