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

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Senior Data Engineer Location: Anaheim, CA (Hybrid - 2 to 3 days onsite per week) Duration:6+ Months Note : W2 role No C2CJob Summary We are seeking an experienced Senior Data Engineer to join our ...

Senior Data Engineer

Anaheim, CA · On-site

$111K - $150K/yr

Kforce has a healthcare client in Anaheim, CA that is seeking a Senior Data Engineer. Responsibilities: * Lead on all aspects of a modern and flexible SDLC approach, applied to data engineering ...

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 ...

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 ...

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 ...

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 ...

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

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

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 ...

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 ...

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 ...

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 ...

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 ...

We're looking for a Senior Data Analyst to drive data-informed decision-making across our studio ... You'll be at the intersection of engineering, analytics, and strategy. Working hands-on at all ...

Skills- pipeline design| performance tuning (Databricks| Spark| PySpark| SQL| pipeline development| performance tuning) • Data Engineer - L3 Support Engineer (Sr) - Strong L3 Technical Capability ...

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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 Jul 15, 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.

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 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

Senior Data Engineer

Conch Technologies Inc

Anaheim, CA • On-site

$111K - $150K/yr

Contractor

Posted 5 days ago


Job description

Job Title: Senior Data Engineer

Location: Anaheim, CA (Hybrid – 2 to 3 days onsite per week)
Duration:6+ Months
 

Note : W2 role No C2CJob Summary

We are seeking an experienced Senior Data Engineer to join our team in Anaheim, CA. The ideal candidate will have a strong background in SQL Server, ETL development, data warehousing, and data integration. This is a hybrid role requiring candidates to work onsite 2–3 days per week, so local candidates from the Los Angeles or Orange County area are preferred.

Required Skills
  • 7+ years of experience as a Data Engineer or similar role.
  • Strong experience with Microsoft SQL Server.
  • Advanced SQL programming and query optimization skills.
  • Hands-on experience developing and maintaining SSIS ETL packages.
  • Experience designing and implementing data pipelines.
  • Strong understanding of data warehousing concepts and architectures.
  • Experience with data modeling and data integration.
  • Ability to analyze business requirements and translate them into scalable data solutions.
  • Strong troubleshooting and performance tuning skills.
Responsibilities
  • Design, develop, and maintain scalable ETL processes using SSIS.
  • Develop and optimize SQL Server databases, stored procedures, views, and queries.
  • Build and maintain reliable data pipelines for data ingestion and transformation.
  • Design and support enterprise data warehouse solutions.
  • Create logical and physical data models to support business reporting and analytics.
  • Integrate data from multiple sources while ensuring data quality and consistency.
  • Monitor ETL jobs, troubleshoot issues, and optimize performance.
  • Collaborate with business stakeholders, analysts, and development teams to deliver data solutions.
  • Document technical designs, processes, and data flows.
Preferred Qualifications
  • Experience working in enterprise data warehouse environments.
  • Knowledge of database performance tuning and optimization.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience working in Agile development environments.