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

Sr. Data Warehouse Architect

Irvine, CA · On-site

$132K - $204K/yr

... The Sr. Data Warehouse Architect defines and governs enterprise data architecture across data ... to engineering, analytics, and business stakeholders on high-impact platform and design decisions ...

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you ... Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.

Senior Data Scientist Lead - R01566194

Santa Ana, CA · On-site

$70 - $93.75/hr

Senior Data Scientist Job requirements Job Title: Senior Data Science Lead Location: Santa Ana, CA ... AI Engineering & Deployment • Work closely with engineering teams to deploy models using MLOps ...

Senior Data Scientist Lead - R01566194

Santa Ana, CA · On-site

$70 - $93.75/hr

Senior Data Scientist Job requirements Job Title: Senior Data Science Lead Location: Santa Ana, CA ... AI Engineering & Deployment Work closely with engineering teams to deploy models using MLOps best ...

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data Engineer to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role ...

Job Title: Sr Data Testing Manager Job Location: Irvine, CA Job Type: Contract * Lead and manage ... Collaborate with development, data engineering, and business teams to ensure alignment on ...

Senior Data Governance Professional

Irvine, CA · On-site

$72.25 - $96.50/hr

... machine learning (ML) engineers, technology teams, data architects, operations, and legal ... The Senior Data Governance Professional independently plans, completes assignments, sets goals, and ...

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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:
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 Engineering & Analytics Lead

PM2CM

Pomona, CA

Full-time

Medical, Retirement

Posted 18 days ago


Job description

PM2CM, Inc., (Project Management to Construction Management) is a professional services company and certified SBE and DBE, dedicated to providing Program and Project Management, Construction Management and Project Controls services during the design and construction phase of projects. Our expertise is in Project Controls which includes Scheduling, Cost Controls, Document Management and Controls, Budget tracking and monitoring, Estimating, Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management.

Our goal is simple: To offer and deliver the "best in class" project management, construction management and project controls services that allow our clients to build with confidence.

To achieve these objectives, we will strive to have a sound and complete understanding of the project scope and our client's corporate needs. We shall provide our services with integrity and stellar professionalism and hire the best qualified professionals.

This is a remote role with periodic in-person team meetings in Pomona, CA.

About the Role:

We are seeking an experienced Senior Data Engineering & Analytics Lead to drive data strategy, build scalable data infrastructure, and deliver actionable insights that support strategic decision-making across the organization.

Key Responsibilities:

  • Lead the design, development, and deployment of scalable data engineering solutions, including ETL, data modeling, and data pipeline architecture for large and complex datasets.
  • Apply advanced analytical and statistical methods to build forecasting, economic modeling, and performance analysis that solve complex business problems.
  • Develop intuitive dashboards and visual analytics using Power BI, Excel (Power Query), SAS, and other BI tools to support cross-functional stakeholders.
  • Translate analytical insights into clear reports, metrics, and executive-ready narratives that guide strategic operations and decisions.
  • Perform in-depth project data analysis and identify patterns, trends, and opportunities to improve processes and reporting capabilities.
  • Create and maintain robust technical documentation and deliver data support to leadership, operational teams, and business partners.
  • Collaborate with IT and business stakeholders to ensure data quality, reliability, and governance.

Requirements

Required Qualifications:

  • 7+ years of experience designing and delivering complex data engineering solutions.
  • Expert proficiency in Microsoft Office, advanced Excel (including Power Query), SAS, and SAP.
  • Experience with Business Intelligence tools for data visualization and analytics.
  • Strong analytical foundation with the ability to solve complex problems and translate them into business value.

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent combination of education/experience).
  • Advanced proficiency in SQL.
  • Knowledge of utility business operations.
  • Lean Six Sigma Black Belt or equivalent certification.

Benefits

What We Offer:

  • Remote work flexibility with periodic in-person team meetings in Pomona, CA.
  • Opportunity to lead critical enterprise data initiatives and influence strategic decisions.

Benefits

100% paid health insurance, 401K match and profit sharing.


About PM2CM

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Torrance, CA, US

Year founded

2014