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Data Engineer Data Analyst Jobs in Rancho Cucamonga, CA

San Manuel Casino

Sr. Data Engineer

Highland, CA · On-site

$113K - $136K/yr

Bachelor's degree in Data Science, Data Analytics, Data Engineering, Computer Science, Software Engineering, Information Systems, Statistics, Mathematics, Business Analytics, Economics, Finance, or a ...

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Position Summary The Data Platform Engineer is responsible for designing, supporting, and ... Support analytics, reporting, automation, and AI initiatives by preparing clean, governed, and ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure. * Work closely with cross-functional teams to understand their data needs and provide analytical ...

VSolvit

Data Analyst 1

Norco, CA

Collaborate with analysts, data engineers, and other technical personnel. Required Qualifications * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics ...

VSolvit

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

Work with data engineers to integrate analytical solutions into existing data environments. * Collaborate with cross-functional teams to understand reporting and analytical needs. * Assist with ...

Brighton

Data Engineer

City Of Industry, CA

$90K - $120K/yr

About this role Brighton is a retail accessories brand doing genuinely innovative work in data and analytics, and we are looking for a Data Engineer to grow with us. Your work will directly enable ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

The Data Analyst Engineer I will support Navy operations by developing and enhancing data visualization and reporting platforms, leveraging tools like Power BI and Tableau to provide actionable ...

VSolvit

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

Collaborate with analysts, data engineers, and other technical personnel. Required Qualifications * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, Statistics ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

The Data Analyst Engineer I will provide critical support to Navy operations by developing, maintaining, and enhancing data visualization, reporting, and collaboration platforms. This entry-level ...

CACI International, Inc.

SQL Data Analyst

Riverside, CA · On-site

$142K/yr

... data engineers to integrate SQL-based solutions into existing data infrastructure. • Work closely with cross-functional teams to understand their data needs and provide analytical support. • ...

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

PM2CM

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI) to create interactive dashboards.

CACI

Data Analyst with Security Clearance

Riverside, CA · On-site

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure. * Work closely with cross-functional teams to understand their data needs and provide analytical ...

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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 10, 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.

Data Platform Engineer

Living Spaces - Corporate

La Mirada, CA • On-site

$115K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Living Spaces rating

7.2

Company rating: 7.2 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

19th of 62 rated furniture retailers

Job description

Position Summary The Data Platform Engineer is responsible for designing, supporting, and modernizing the company's enterprise data platforms across on-premises and cloud environments. This role combines strong database engineering experience with modern cloud data services, data integration, automation, analytics enablement, and AI-ready data management. This position will support existing Microsoft SQL Server environments while helping transition the organization toward scalable, secure, and governed data platforms using Microsoft Azure, Microsoft Fabric, and related technologies. The role will collaborate with infrastructure, application development, analytics, and business teams to improve data reliability, accessibility, performance, and overall platform maturity.Position Description

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Design, build, and support modern data platforms across SQL Server, Azure, Microsoft Fabric, and hybrid environments.

  • Support and modernize SQL Server environments through performance tuning, indexing, query optimization, backups, recovery, security, and availability.

  • Implement and support Azure data services, including Azure SQL Database, Azure SQL Managed Instance, Azure Data Factory, Azure Storage, Azure Key Vault, and related services.

  • Support Microsoft Fabric capabilities, including lakehouses, warehouses, pipelines, semantic models, notebooks, and Power BI-ready datasets.

  • Build and maintain data pipelines, ETL/ELT processes, integrations, and data movement patterns across internal systems, cloud platforms, vendor systems, and reporting tools.

  • Assist with data architecture decisions for relational databases, data warehouses, lakehouses, APIs, analytical models, and cloud-native data services.

  • Improve data quality through validation, reconciliation, monitoring, exception reporting, and documentation of trusted data sources.

  • Collaborate with application development teams on database design, data access patterns, schema changes, integration methods, and performance optimization.

  • Support analytics, reporting, automation, and AI initiatives by preparing clean, governed, and reliable enterprise data and designing secure data access patterns.

  • Automate and support data platform operations using T-SQL, PowerShell, Python, Azure CLI, REST APIs, and CI/CD practices for database objects, pipelines, scripts, and cloud configurations.

  • Monitor and troubleshoot data platforms, pipelines, and integrations for performance, reliability, cost, and security, performing root cause analysis and recommending long-term corrective actions.

  • Document data flows, platform architecture, operational procedures, support runbooks, and technical standards, and evaluate new Microsoft data platform capabilities for adoption.

Qualifications
Education/Experience: Bachelor's degree in computer science, Information Technology, Data Engineering, Information Systems, or related field preferred. 5+ years of experience in database engineering, data platform engineering, data engineering, cloud data services, or a related technical role. Strong experience with Microsoft SQL Server, T-SQL, query tuning, indexing, stored procedures, performance troubleshooting, and relational database design. Experience with Azure data services such as Azure SQL, Azure Data Factory, Azure Storage, Azure Synapse, Azure Key Vault, or similar technologies. Experience building or supporting data pipelines, integrations, ETL/ELT workflows, reporting datasets, or analytical data platforms. Experience with Microsoft Fabric, Power BI, lakehouse, warehouse, or semantic modeling concepts preferred. Experience supporting analytics, automation, AI-readiness, enterprise search, or governed data access initiatives preferred. Equivalent combination of education and experience will be considered.
Computer Skills: To perform this job successfully, an individual must be proficient with Microsoft Office programs such as Office 365 and Word. Microsoft SQL Server T-SQL Azure SQL Database / Azure SQL Managed Instance Azure Data Factory Microsoft Fabric Azure Storage / Data Lake concepts Azure Synapse Analytics Power BI semantic models Data modeling ETL/ELT design Data quality validation Python or PowerShell Git Azure DevOps or GitHub Actions CI/CD practices Infrastructure as code concepts API-based data integrations Monitoring and observability Database security and access control Cloud-native data architecture AI-ready data architecture preferred
Certificates and Licenses: Certifications are not required but are preferred. Relevant certifications may include: Microsoft Certified: Azure Data Engineer Associate Microsoft Certified: Azure Database Administrator Associate Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Azure AI Engineer Associate
Supervisory Responsibilities: This position will not have supervisory responsibilities.
Position Hiring Range

The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.

Compensation: $118,500.00 - $158,000.00

Overtime pay is available for eligible, non-exempt Team Members.Reimbursement for expenses as required by applicable law and Company policy.Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.

Additional available benefits upon meeting eligibility requirements include:

  • Medical (full-time only)

  • Dental (full-time only)

  • Vision (full-time only)

  • 401(k) with Company match (full and part-time)

  • Vacation (full-time only or as otherwise required by applicable law)

  • Paid Sick Leave (full and part-time)

  • Flex or Health Spending Account (for eligible full-time only)

  • Employee Assistance Program (full and part-time)

  • Holiday pay (full-time only)

  • Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)

Equal Opportunity Employer

It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

E-Verify

Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.

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