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Data Engineer Data Analyst Jobs in Rancho Cucamonga, CA

Lereta

Senior Data Engineer

Pomona, CA · On-site

$114K - $140K/yr

Utilizes advanced Excel capabilities for analysis, reconciliation, validation, and business support ... in a data engineering role * Required Technical Skills: * Azure Data Factory * Azure Data Lake ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Rancho Cucamonga, CA

Data Engineer Data Analyst information

See Rancho Cucamonga, CA salary details

$34.7K

$84.5K

$139K

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

As of Aug 11, 2026, the average yearly pay for data engineer data analyst in Rancho Cucamonga, CA is $84,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,100.00 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.

What are popular job titles related to Data Engineer Data Analyst jobs in Rancho Cucamonga, CA? For Data Engineer Data Analyst jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Rancho Cucamonga, CA look for? The top searched job categories for Data Engineer Data Analyst jobs in Rancho Cucamonga, CA are:
What cities near Rancho Cucamonga, CA are hiring for Data Engineer Data Analyst jobs? Cities near Rancho Cucamonga, 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 Rancho Cucamonga, CA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $84,451 per year, or $40.6 per hour.

Senior Data Engineer

Lereta

Pomona, CA • On-site

$114K - $140K/yr

Full-time

Re-posted 8 days ago

LERETA rating

7.5

Company rating: 7.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

200th of 485 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

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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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