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Data Engineer Jobs in Temecula, CA (NOW HIRING)

Shimento, Inc.

Data Engineer

Carlsbad, CA · On-site

$118K - $142K/yr

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 ...

Cumming Group

Junior Data Engineer

Murrieta, CA · On-site

$91K - $121K/yr

The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position ...

Viasat, Inc.

Data Engineer

Carlsbad, CA · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Viasat, Inc.

Data Engineer

Carlsbad, CA · On-site

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Viasat, Inc.

Data Engineer

Carlsbad, CA · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site

$109K - $148K/yr

Senior Data Engineer Position: Full time Location: Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location: Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and ...

Viasat, Inc.

CD&A Data Engineer

Carlsbad, CA

$150K - $225K/yr

What you'll do The Global Technology - Data & Analytics team builds and operates the data platforms ... Exposure to SRE concepts: SLOs, alerting, MTTR, incident triage * Familiarity with Terraform or ...

TaylorMade Golf

Business Intelligence Engineer

Carlsbad, CA · On-site

$100K - $125K/yr

The BI Data Engineer / Technical Engineer is a technical member of TaylorMade's dedicated Business Intelligence team within IT. This role sits within the Data Architecture practice and is primarily ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based equipment monitoring platform. In this role, the intern will ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Temecula, CA

Data Engineer information

See Temecula, CA salary details

$44.2K

$128.9K

$176.3K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Temecula, CA is $128,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Temecula, CA? The most popular types of Data Engineer jobs in Temecula, CA are:
What cities near Temecula, CA are hiring for Data Engineer jobs? Cities near Temecula, CA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Temecula, CA as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,874 per year, or $62 per hour.
Data Engineer

Data Engineer

Shimento, Inc.

Carlsbad, CA • On-site

$118K - $142K/yr

Other

Posted yesterday

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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