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Data Engineer Data Analyst Jobs in Temecula, CA (NOW HIRING)

Hunter

Senior Data Engineer

San Marcos, CA · On-site

$108K - $146K/yr

Collaborates with architects, analysts, and data scientists to deliver solutions that support Power ... Mentors junior engineers and contributes to knowledge sharing across the Data & Analytics team.

Hunter Industries

Senior Data Engineer

San Marcos, CA

$108K - $146K/yr

Collaborates with architects, analysts, and data scientists to deliver solutions that support Power ... Mentors junior engineers and contributes to knowledge sharing across the Data & Analytics team.

Hunter

Senior Data Engineer

San Marcos, CA · On-site

$130 - $145/hr

Collaborates with architects, analysts, and data scientists to deliver solutions that support Power ... Mentors junior engineers and contributes to knowledge sharing across the Data & Analytics team.

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

$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 ...

Genentech, Inc.

Data Engineer

Oceanside, CA · On-site

$111K - $206K/yr

The Site Data Operations Lead is a critical role within Roche's Digital & Operational Excellence ... analytics solutions in an agile and scalable model. * Technical Skills: Proven knowledge of ...

Genentech

Data Engineer

Oceanside, CA · On-site

$111 - $206/hr

... analytics solutions in an agile and scalable model. * Technical Skills: Proven knowledge of ... Strong knowledge of data management practices, especially within the context of Pharma Tech Ops or ...

New

Genentech

Data Engineer

Oceanside, CA · On-site

$111K - $206K/yr

The Site Data Operations Lead is a critical role within Roche's Digital & Operational Excellence ... analytics solutions in an agile and scalable model. * Technical Skills: Proven knowledge of ...

F. Hoffmann-La Roche AG

Data Engineer

Oceanside, CA · On-site

$111 - $206/hr

A Bachelor's degree in Informatics, Engineering, or a related field. * A Master's degree or ... quality data and analytics solutions in an agile and scalable model. Technical Skills * Proven ...

New

Thrive Market

Senior Data Analyst

Vista, CA · On-site +1

$87K - $110K/yr

As we continue to scale, we're looking for a Senior Data Analyst to play a critical role in turning ... Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C+

Thrive Market

Senior Data Analyst, Product

Vista, CA · On-site +1

$88K - $109K/yr

Partner with Product Management, Engineering, Data Science, and Functional teams to gather, manipulate, analyze, and document raw, complex data and share cohesive data stories that make sense to ...

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Showing results 1-20

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Temecula, CA

Data Engineer Data Analyst information

See Temecula, CA salary details

$33.8K

$82.1K

$135.1K

How much do data engineer data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer data analyst in Temecula, CA is $82,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Temecula, CA?

For Data Engineer Data Analyst jobs in Temecula, CA, the most frequently searched job titles are:

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

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

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Temecula, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,103 per year, or $39.5 per hour.

Senior Data Engineer

Hunter

San Marcos, CA • On-site

$108K - $146K/yr

Full-time

Posted 18 days ago

Job description

Hunter Industries is seeking a Senior Data Engineer who designs, develops, and maintains enterprise data systems and pipelines that enable the organization to use data as a strategic asset. This role provides technical leadership and expertise in building scalable, efficient, and governed data solutions that support analytics, reporting, and advanced use cases such as AI and machine learning. The Senior Data Engineer acts as a bridge between business needs and technology implementation, ensuring data systems are reliable, performant, and aligned with enterprise standards.
*This role can be performed onsite or hybrid (3 days in office) at our campus in San Marcos, CA. Candidates must be located within a commutable distance from campus.
Essential Job Functions/Tasks:
  1. Designs, develops, and optimizes data pipelines and workflows for ingestion, transformation, and delivery of data across enterprise platforms.
  2. Integrates structured and semi-structured data from diverse sources-Oracle Fusion (ERP/EPM), on-premises databases, and cloud applications (APIs, external systems)-into the Snowflake data platform.
  3. Applies data cleansing, validation, enrichment, and quality controls to ensure accuracy, consistency, and trust in enterprise data.
  4. Monitors and tunes pipelines and storage solutions for scalability, performance, and cost-effectiveness.
  5. Implements governance, security, and compliance practices in alignment with enterprise standards.
  6. Collaborates with architects, analysts, and data scientists to deliver solutions that support Power BI analytics, reporting, AI/ML, and self-service use cases.
  7. Provides technical leadership by guiding best practices in pipeline design, coding standards, and system optimization.
  8. Mentors junior engineers and contributes to knowledge sharing across the Data & Analytics team.
  9. Evaluates and adopts emerging technologies, tools, and practices that strengthen the enterprise's data capabilities.
  10. Partners with business stakeholders to understand use cases, translate requirements, and deliver practical, sustainable solutions.

Education/Training Required and Preferred:
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or related quantitative field required or a combination of education and relevant work experience.
  • Master's degree or advanced training in data engineering, cloud platforms, or analytics preferred.

Experience Required and Preferred:
  • Minimum five years' experience in data engineering, data integration, and optimization.
  • Proven experience developing and maintaining enterprise-scale data solutions on Snowflake, with Power BI as the primary reporting and semantic layer.
  • Experience integrating data from Oracle Fusion (ERP/EPM) and other on-premises and cloud applications. Experience working with business stakeholders and senior leadership to deliver data-driven outcomes.
  • Demonstrated experience migrating data from legacy and enterprise source systems to modern cloud data platforms, including source-to-target mapping, data validation, and reconciliation.

What You Bring:
  • Expertise in building and optimizing scalable data pipelines and architectures on Snowflake, using ELT/ETL orchestration tools such as Azure Data Factory, and cloud object storage (e.g., OCI Object Storage, Azure Blob).
  • Proficiency in SQL and Python, with strong experience in Snowflake SQL, dbt for transformation, and pipeline orchestration tools such as Azure Data Factory or Airflow.
  • Strong knowledge of relational databases and enterprise source systems, including Oracle Fusion (ERP/EPM) and SQL Server.
  • Experience planning and executing source system migrations, including source-to-target mapping, historical data conversion, validation and reconciliation, and cutover planning to minimize business disruption.
  • Familiarity with data governance and security frameworks, including metadata, lineage, role-based access controls, and privacy-by-design, applied within Snowflake and the Power BI semantic model.
  • Ability to collaborate across technical and business teams and translate requirements into sustainable solutions.
  • Skill in diagnosing and resolving performance issues in cloud-based data environments, including Snowflake query and warehouse optimization, and Power BI semantic model/refresh tuning.
  • Strong communication and leadership skills with the ability to mentor peers and influence best practices.
  • Strategic mindset with curiosity for emerging technologies, particularly AI and ML applications in data engineering, including Snowflake Cortex and Power BI Copilot.

What We Offer:
  • Amazing corporate culture - we walk the walk when it comes to our values!
  • Beautiful 20 acre park like campus with creek and walking trails
  • On site wellness center with personal training, fitness classes and massage
  • FUN company events!
  • Company donation matching and volunteer rewards
  • Career development opportunities and profit sharing bonus

Follow us on LinkedIn, check out our rave reviews on Glassdoor, and learn more about our company culture on our career site: http://corporate.hunterindustries.com/careers
Hunter is a global leader in the irrigation, outdoor lighting, dispensing technology, and custom manufacturing industries. Driving our continued success is the combined energy and talents of the nearly 4,000 people on our team. Together, we create a diverse array of products that can be seen all over the world, from residential landscapes to national landmarks, stadiums, parks, hotels, and municipal buildings.
Hunter Industries and its Family of Companies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability, gender, gender identity or expression, military and veteran status, national origin, race, religion, sexual orientation, or any other applicable legally protected status or characteristic.
The annual salary for this opportunity ranges from $130,000 - $145,000.
The Company complies with all federal/local/state regulations in regard to pay. The above represents the expected hourly range for this job requisition. Compensation offered to the successful candidate will be determined by qualifications, prior experience, other job-related factors, and geographic location.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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