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Data Engineer Data Analyst Jobs in Rancho Cucamonga, CA

Bespoke Labs

Data Engineer

Pomona, CA · On-site

$116K - $139K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Samyang America, Inc.

Sr. Data Engineer Specialist

Brea, CA · On-site

$118K - $141K/yr

The Data Engineer will build and maintain data pipelines and infrastructure to support the enterprise data platform, focusing on developing efficient workflows for analytics and AI applications.

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team. This role is responsible for transforming raw data into actionable insights that support strategic decision ...

Canopy A&D

ERP Data Analyst

Ontario, CA · On-site

The ERP Data Analyst supports and optimizes the JobBOSS -> Epicor ERP system migration within an ... Partner cross-functionally with Manufacturing, Supply Chain, Finance, Engineering, and Quality ...

Conch Technologies Inc

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+ ... Ability to analyze business requirements and translate them into scalable data solutions. * Strong ...

Pacific Consolidated Industries LLC

Be Seen First

Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Summary This position is responsible for analyzing business data and developing analytical solutions that support strategic and operational decision making across the organization. The incumbent ...

Anaheimducks

Lead Data Engineer

Anaheim, CA

$140K - $180K/yr

... analytics, operations, and decision-making. Responsibilities * Design and build a governed data ... Mentor engineers and help build a culture of technical rigor while remaining hands-on as a builder ...

OC Sports and Entertainment

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

... analytics, operations, and decision-making. Responsibilities * Design and build a governed data ... Mentor engineers and help build a culture of technical rigor while remaining hands-on as a builder ...

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

... analytics, operations, and decision-making. Responsibilities * Design and build a governed data ... Mentor engineers and help build a culture of technical rigor while remaining hands-on as a builder ...

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

... analytics, operations, and decision-making. Responsibilities * Design and build a governed data ... Mentor engineers and help build a culture of technical rigor while remaining hands-on as a builder ...

swipejobs LLC

ERP Data Analyst

Orange, CA · On-site

$20 - $22/hr

ERP Data Analyst Fullerton, CA | Monday-Friday | Full-Time | Temp-to-Hire Turn Data Into Better Business Decisions! Are you an analytical problem solver who enjoys working with data, ERP systems, and ...

LERETA, LLC

Senior Data Engineer

Pomona, CA

$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.

Data Engineer II

Inland Empire Health Plan

Rancho Cucamonga, CA

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 27 days ago

Inland Empire Health Plan rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

259th of 304 rated insurance

Job description

Overview

What you can expect! 

Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!

 

The Data Engineer II assists in the implementation of methods to improve data reliability and quality. This role is responsible for combining raw information from different sources to create consistent and machine-readable formats. The Data Engineer II must also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer II will focus on data accessibility, which will enable the organization to utilize data for performance evaluation and optimization. The data Engineer II is also responsible for managing the entire back-end development life cycle for the company's enterprise data warehouse. In this role the incumbent will handle tasks associated with the implementation of ETL procedures, building warehouse databases, database performance management, and dimensional modeling and design of the table structures.

 

Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

Perks

 

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary.
  • Hybrid schedule.
  • State of the art fitness center on-site.
  • Medical Insurance with Dental and Vision.
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development.
  • Wellness programs that promote a healthy work-life balance.
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance
Key Responsibilities
  • Design and develop data warehouse Extraction, Transformation and Loading (ETL) solutions using Microsoft SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Az Data Bricks, PySpark ETL. 
  • Develop and implement data collection processes in conjunction with the data warehouse. Source data from legacy systems supporting a centralized data warehouse and reporting platform.
  • Develop technical solutions to meet the requirements for Data Warehouse, BI & Analytics. Work with Informaticists and Analysts to translate analytic requirements into technical solutions.
  • Collaborate and contribute to data integration strategies and visions. Create and maintain optimal data pipeline architectures based on micro services based on platform and application requirements. 
  • Work closely with the Data Engineering team, BI & Analytics team, Data Warehouse Architect, and Data Systems Architect to design data and analytics solutions to increase the usability, completeness, and accuracy of enterprise data. 
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Analyze user requirements and translate user requirements into database requirements and implement them in database code. 
  • Provide detailed analysis of data issues, data mapping, and the process for automation and enhancement of data quality. Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement process improvements: automating manual pipeline processes, optimizing data ingestion and consumption, re-designing infrastructure for greater scalability, micro services, and others as applicable. 
  • Create, maintain, and optimize SQL queries and routines. Analyze potential data quality issues to determine the root cause and create effective solutions.
  • Develop, adopt, and enforce Data Warehouse and ETL standards and architecture. Monitor and support ETL processes ensuring integrity and proper integration of all data sources.
  • Facilitate problem management and communication among data architects, managers, informaticists and analysts.
  • Perform development activities such as source to target mapping validations, identify, document and execute unit test cases/scripts, peer and lead code reviews per code review checklist and document test and review results.
  • Provide ongoing proactive technical support for ETL and data warehouse system to ensure business continuity.
  • Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
    • Qualifications

    Education & Requirements 

    • Four (4) years of relevant work experience. Experience and knowledge in logical, rational, dimensional, and physical data modeling.  Background in database systems along with a strong knowledge of SQL. Experience with Orchestration tools, Azure DevOps, and CI/CD. Intermediate experience with the following tools and technologies:
      • Azure Data Catalogue / Purview
      • Azure Cloud
      • Databricks
      • Power BI Dataflows
      • Power Query
      • Azure Cosmos
      • Azure Monitor
      • PowerShell
      • Python
    • Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired
    • Bachelor's degree from an accredited institution required
      • Master's degree from an accredited institution preferred
      • Azure Data Engineering Certification is preferred

    Key Qualifications

    • Multi-server environment knowledge such as linked servers, data replication, backup/restore with MS SQL Server 2008+
    • Knowledge of applicable data privacy practices and laws
    • Highly skilled in developing and optimizing T-SQL (DDL, DML, DCL) queries, stored procedures, functions, and views for various applications that involve numerous database tables and complex business logic
    • Good written and oral communication skills
    • Strong technical documentation skills
    • Good interpersonal skills
    • Highly self-motivated and directed
    • Keen attention to detail
    • Proven analytical and problem-solving abilities
    • Ability to effectively prioritize and execute tasks in a high-pressure environment

    Start your journey towards a thriving future with IEHP and apply TODAY!

    Work Model Location

    This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday - Thursday onsite in Rancho Cucamonga, CA.)

    Pay RangeUSD $104,041.60 - USD $137,841.60 /Yr.Employment Type: FULL_TIME

    What Inland Empire Health Plan employees say

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