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Senior Data Engineer Jobs in Rancho Cucamonga, CA

Sr. Data Architect Specialist

Brea, CA · On-site

$80K - $95K/yr

Partner with Data Engineering to ensure governance is embedded in pipelines and systems. Data Integration Design * Design how data flows across systems (ERP, CRM, marketing platforms, external data ...

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107K - $133K/yr

Esri is a leading company in GIS technology, and they are seeking a Senior Enterprise Data Engineer to partner with customers on database design and implementation strategies. The role involves ...

... makers; provide data analysis, interpretation, and consultation to maximize the use of ... Programming skills using SQL. * Advanced knowledge of Microsoft Excel, Access, MSSQL script and ...

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS ...

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Esri is a leading company in geospatial technology, and they are seeking an experienced Sr. Software Development Engineer to enhance geospatial data quality capabilities across the ArcGIS platform.

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer to help advance the next generation of geospatial data quality capabilities across the ArcGIS ...

Showing results 21-40

Senior Data Engineer information

See Rancho Cucamonga, CA salary details

$82.8K

$129.1K

$178.8K

How much do senior data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior data engineer in Rancho Cucamonga, CA is $129,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 Rancho Cucamonga, CA? The most popular types of Data Engineer jobs in Rancho Cucamonga, CA are:
What are popular job titles related to Senior Data Engineer jobs in Rancho Cucamonga, CA? For Senior Data Engineer jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Rancho Cucamonga, CA look for? The top searched job categories for Senior Data Engineer jobs in Rancho Cucamonga, CA are:
What cities near Rancho Cucamonga, CA are hiring for Senior Data Engineer jobs? Cities near Rancho Cucamonga, CA with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $129,097 per year, or $62.1 per hour.

Sr. Manager, Data Architecture & Technology

Samyang America, Inc.

Brea, CA • On-site

$69.25 - $92.75/hr

Full-time

Re-posted 6 days ago


Job description

Job Summary:
Samyang America is a leading brand known for shaping the future of food culture through innovative products. The Senior Manager, Data Architecture & Technology is responsible for designing and scaling the enterprise data platform, ensuring a reliable and governed data foundation for analytics and business decision-making.
Responsibilities:
• Design, development, and implementation of SYA enterprise data architecture, including data pipelines, data orchestration, data lakes and integration layers.
• Define and govern data models, structures, and standards to ensure scalability, flexibility, and usability across the organization.
• Establish architecture that supports both real-time and batch data processing.
• Oversee development of data ingestion, transformation, and orchestration pipelines across systems (ERP, CRM, marketing, finance, etc.).
• Ensure seamless integration of internal and external data sources into a unified environment.
• Optimize data flows for performance, reliability, and cost efficiency.
• Lead day-to-day execution of the data lake build, partnering with external vendors and engineering teams.
• Ensure delivery against milestones, technical requirements, and business needs.
• Validate architecture decisions to ensure long-term scalability and maintainability.
• Establish frameworks for data quality, data catalog, and governance policies across systems.
• Define data ownership, lineage, and access models.
• Accountable for delivering data and analytic governance KPIs.
• Partner with business teams to ensure data is trustworthy and actionable.
• Manage internal resources, including: Data Architect, Data Engineer.
• Direct and control external vendors and system integrators to ensure delivery of technology, data, and analytic solutions align with the SYA platform vision.
• Ensure alignment between internal priorities and external delivery teams.
• Enforce documentation, code quality, and knowledge transfer standards.
Qualifications:
Required:
• 8+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Hands-on experience building and deploying data lakes or modern data platforms.
• Strong knowledge of cloud environments (AWS, Azure, or GCP).
• Experience designing data pipelines, ETL/ELT processes, and data models.
• Proven ability to manage technical teams and external vendors.
Preferred:
• Experience with platforms such as Snowflake, Databricks, Redshift, BigQuery.
• Familiarity with orchestration tools (e.g., Airflow) and modern data stack components.
• Experience integrating ERP, CRM, and marketing systems.
• Background in consumer goods, retail, or supply chain environments.
Company:
Samyang America Inc. Founded in , the company is headquartered in Brea, USA, with a team of 51-200 employees. The company is currently Growth Stage.