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Data Engineer Jobs in Hawthorne, CA (NOW HIRING)

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the ...

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Dlapiper

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

1 point system

Data Engineer

Los Angeles, CA · On-site

$60/hr

Job Title Data Engineer Client Confidential Location Los Angeles, CA (5 days - Onsite) Type of Hire Long Term Contract Rate $60/hr. on W2 * Serve as developer of key DTC analytical models like ...

Staffingine LLC

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Data Engineer Job Location: Glendale, CA Job Type: Full-Time ● Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines ● Build tools and services to support ...

Prudent Technologies and Consulting

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products. * Apply data engineering concepts and technologies, including AWS services (S3, Lambda ...

Novoco

Data Engineer

Long Beach, CA

$120K - $144K/yr

The Data Engineer is responsible for building, operating, and optimizing the organization's analytical data pipelines and platforms. This position develops reliable, scalable, and performant data ...

New

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 Engineer to design, optimize, and manage scalable data architecture. In this role, you will build ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer role will be responsible for implementing and managing the business's data infrastructure to support operations and strategic initiatives. This position plays a crucial part in ...

Skylimit Systems

Data Engineer

El Segundo, CA

$150K - $190K/yr

We are seeking a Senior Data Engineer to join our team in El Segundo, CA to build and integrate large data sets of space, air, and ground systems focuses on building high-assurance, resilient ...

ACCO Engineered Systems

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

The Data Engineer role will be responsible for implementing and managing the business's data infrastructure to support operations and strategic initiatives. This position plays a crucial part in ...

Total Performance Consulting

Data Engineer

Los Angeles, CA · Remote

$123K - $148K/yr

Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. * Collaborate ...

Pediatric Associates

Sr Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

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 ...

JF Retail Services

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and models that power the business insights driving our growth. You'll leverage cloud technologies ...

Fabletics

Sr. Data Engineer

El Segundo, CA · On-site

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and models that power the business insights driving our growth. You'll leverage cloud technologies ...

Virtusa Corporation

AWS Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

- Senior AWS Data Engineer We are seeking a highly skilled Senior AWS Data Engineer with 7+ years of overall experience in designing, developing, and optimizing enterprise-scale data platforms. The ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

The Role As a Data Engineer at EDO, you will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline. This pipeline ...

Varda Space Industries

Data Engineer

El Segundo, CA

$120K - $153K/yr

About This Role Varda is seeking a Data Engineer to join our team. In this role, you will support the development of data pipelines, storage, security, and quality that power the organization. You ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Hawthorne, CA

Data Engineer information

See Hawthorne, CA salary details

$45.2K

$131.9K

$180.5K

How much do data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer in Hawthorne, CA is $131,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Hawthorne, CA?

The most popular types of Data Engineer jobs in Hawthorne, CA are:

What job categories do people searching Data Engineer jobs in Hawthorne, CA look for?

The top searched job categories for Data Engineer jobs in Hawthorne, CA are:

What cities near Hawthorne, CA are hiring for Data Engineer jobs?

Cities near Hawthorne, CA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hawthorne, 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,878 per year, or $63.4 per hour.

Data Engineer

Pediatric Associates

San Pedro, CA • On-site

$116K - $140K/yr

Full-time

Re-posted 13 days ago

Job description

PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
  1. Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
  1. Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
  1. Create and maintain logical and physical data models following established data modeling standards and best practices.
  1. Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  1. Participate in technical discussions, solution design, and implementation activities across data engineering projects.
  1. Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
  1. Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
  1. Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  1. Ensure compliance with data security, governance, and regulatory requirements across cloud and on-premise data platforms.
  1. Communicate technical concepts, project status, and data-related issues effectively to team members and business stakeholders.

QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
  • 3-5 years of experience in data engineering or a related field required.
  • Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
  • Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
  • Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
  • Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
  • Strong programming skills in Python or another modern scripting language required.
  • Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.
  • Familiarity with data quality, data governance, and security best practices preferred.

KNOWLEDGE, SKILLS AND ABILITIES
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective verbal and written communication skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Proficiency in SQL, data analysis, and data transformation techniques.
  • Experience working with cloud-based data platforms and modern data engineering tools.
  • Knowledge of data modeling concepts, data warehousing principles, and ETL/ELT best practices.
  • Familiarity with data quality, data governance, and data security practices.
  • Proficient in building Power BI data models and developing dashboards and reports.
  • Ability to manage multiple priorities and work effectively in a fast-paced environment.

TYPICAL WORKING CONDITIONS
  • Full time remote/telework

OTHER PHYSICAL REQUIREMENTS
  • Vision
  • Sense of sound
  • Sense of touch

PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.

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