ZipRecruiter

Log In

1

Senior Data Engineer Jobs in Riverside, CA (NOW HIRING)

LERETA, LLC

Senior Data Engineer

Pomona, CA

$114K - $140K/yr

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise ...

Lereta

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise ...

SAMYANG AMERICA INC

Sr. Data Engineer Specialist

Brea, CA · On-site

$80K - $95K/yr

The Data Engineer will be responsible for building and maintaining the data pipelines and infrastructure that power Samyang America's enterprise data platform. This role focuses on developing ...

Tata Consultancy Service Limited

Data Engineer

Irvine, CA · On-site

$120K - $150K/yr

Data Engineer We are seeking project based Platform Engineering delivery support with strong, hands ... Profiles may be onshore, nearshore, or offshore, but must be senior, deeply technical engineers ...

Tata Consultancy Services

Data Engineer

Irvine, CA · On-site

$121K - $145K/yr

... senior, deeply technical engineers capable of engaging with a highly technical engineering team Company : Tata Consultancy Services is a business solutions company that specializes on information ...

omega solutions, Inc.

Sr. Data Scientist

Santa Ana, CA · On-site

Sr. Data Scientist Santa Ana, CA 6 months : What is the specific title of the position? Senior Data ... Programming: SQL, Python, Spark, Hive Libraries: Scikit-Learn, Numpy Analytics: Regression ...

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Job Title: Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking ... Responsibilities As a Machine Learning and Data Engineer on the Data Analytics and AI Enablement ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Job Title: Sr. Data Scientist Location: Irvine, CA (Hybrid - Onsite and Remote) or San Francisco ... The role involves building end-to-end solutions, collaborating with data scientists and engineers ...

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

With over 10 years of data engineering experience, this position serves as a senior individual contributor, owning end-to-end data architecture--from ingestion and transformation to modeling and ...

Pwc

Data Engineer - Senior Manager

Irvine, CA

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

MeridianLink, Inc.

Sr. Data Analyst

Irvine, CA · On-site

$130K - $150K/yr

MeridianLink, Inc. has the following position available in Irvine, CA: Sr. Data Analyst (ML-XZ ... Use Python & other programming tools for data analysis, machine learning, model building, & model ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Planet DDS

Data Engineer IV

Irvine, CA

$118K - $170K/yr

Overview The Data Engineer IV will design and lead the build-out of Planet DDS's next-generation ... Collaborate with senior leadership to define the long-term data strategy and roadmap aligned with ...

next page

Showing results 1-20

All JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Riverside, CA

Senior Data Engineer information

See Riverside, CA salary details

$84.5K

$131.8K

$182.6K

How much do senior data engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for senior data engineer in Riverside, CA is $131,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $150,200.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms 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, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Riverside, CA? The most popular types of Data Engineer jobs in Riverside, CA are:
What are popular job titles related to Senior Data Engineer jobs in Riverside, CA? For Senior Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Riverside, CA look for? The top searched job categories for Senior Data Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Senior Data Engineer jobs? Cities near Riverside, CA with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 73% Full Time, 20% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,794 per year, or $63.4 per hour.
Senior Data Engineer

Senior Data Engineer

LERETA, LLC

Pomona, CA

$114K - $140K/yr

Full-time

Posted 21 days ago

LERETA rating

7.5

Company rating: 7.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

163rd of 429 rated business services

Job description

The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise data integration, warehousing, reporting, and automation solutions across Azure, Snowflake, Microsoft BI technologies, and the Power Platform.

Key Responsibilities:

  • Defines and implements enterprise data architecture leveraging Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure SQL, Snowflake, Snowflake OpenFlow, SSIS, SSRS, Power BI, Power Automate, and Power Query.
  • Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks
  • Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental loading
  • Optimizes long-running data extractions and improves pipeline performance
  • Manages and tunes Snowflake warehouses for performance and cost efficiency
  • Develops and supports Power BI datasets, data models, and enterprise reporting solutions
  • Supports and modernizes SSRS reporting and downstream Power Platform dependencies
  • Develops automation workflows using Power Automate to streamline operational processes
  • Utilizes advanced Excel capabilities for analysis, reconciliation, validation, and business support
  • Establishes best practices for data modeling, environment promotion (Dev/QA/Prod), naming conventions, monitoring, and operational support
  • Provides Tier 2 / Tier 3 production support for data integration and reporting platforms
  • Participates in Agile/Scrum ceremonies including sprint planning, backlog refinement, and progress reporting.
  • Identifies obsolete fact tables, unused reports, and redundant processes to streamline the data ecosystem
  • Partners with leadership to provide visibility into sprint progress, platform health, and modernization initiatives
  • Leverages Ataccama ONE for governance, data quality monitoring, and metadata management
    • Integrates and maintain Ataccama data quality workflows to support enterprise data governance

This position will perform other duties as assigned based on the needs of the department.

Salary range: $114,280 - $140,000

Core Competencies:

  • Strong communication skills with the ability to translate technical concepts to business stakeholders
  • Strong analytical and problem-solving abilities
  • High attention to detail and data accuracy
  • Strong work ethic with a sense of ownership and accountability
  • Ability to prioritize effectively in a production support and development environment
  • Collaborative team player with the ability to work cross-functionally

Required Education & Experience:

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent field
  • 10+ years of experience in software design and development, with the majority of time focused in a data engineering role
  • Required Technical Skills:
    • Azure Data Factory
    • Azure Data Lake Storage (Gen2)
    • Snowflake (data modeling, performance tuning, streams & tasks)
    • Snowflake OpenFlow
    • SQL Server Integration Services (SSIS)
    • SQL Server Reporting Services (SSRS)
    • Power BI (data modeling, DAX, report optimization)
    • Power Automate
    • Power Query
    • Visual Studio
    • Azure DevOps
    • Advanced SQL development and tuning
    • Microsoft Excel (advanced formulas, pivot tables, data validation)
    • Git-based version control and CI/CD practices
    • Agile / Scrum methodology
    • Enterprise production support experience

Apply