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Data Engineer Data Analyst Jobs in Irvine, CA (NOW HIRING)

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Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

Position Summary The Engineer, Data Intelligence & Business Analytics designs, develops, and supports scalable data integration and analytics solutions using Snowflake, dbt, Matillion, Python, and ...

Data Engineer

Irvine, CA · On-site

$175K/yr

Senior Analytics Engineer | Costa Mesa, CA (Onsite) I'm partnering with an innovative company at ... This is an opportunity for someone who loves building scalable data foundations, owning analytics ...

Posted today

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Support analytics, reporting, AI/ML, and advanced data science initiatives through reliable data delivery. * Implement metadata management, lineage tracking, and data cataloging solutions.

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Data Engineer Data Analyst information

See Irvine, CA salary details

$36.5K

$88.7K

$146K

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

As of Aug 31, 2026, the average yearly pay for data engineer data analyst in Irvine, CA is $88,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $104,100.00 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.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in Irvine, CA look for?

The top searched job categories for Data Engineer Data Analyst jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Data Engineer Data Analyst jobs?

Cities near Irvine, CA with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $88,705 per year, or $42.6 per hour.

Data Engineer

Irvine, CA • On-site

OSTechnical
51 - 200 employees

$100K - $115K/yr

Full-time

Medical, Dental, Vision

Posted 14 days ago

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Job description

Data Engineer with a client at Irvine, CA

Contract to hire.


Position Summary

The Engineer, Data Intelligence & Business Analytics designs, develops, and supports scalable data integration and analytics solutions using Snowflake, dbt, Matillion, Python, and cloud technologies.

This role partners with business and technical stakeholders to deliver trusted healthcare data, including Epic data, for reporting, analytics, and AI-driven initiatives. The engineer is responsible for building high-quality ETL/ELT pipelines, optimizing data performance, improving data quality, and supporting enterprise analytics and machine learning use cases.


Key Responsibilities

  • Design and develop ETL/ELT pipelines using Snowflake, dbt, Matillion, and Python.
  • Integrate data from Epic Clarity/Caboodle, APIs, third-party vendors, and enterprise systems.
  • Collaborate with Product Owners, BSAs, and Data Architects to deliver scalable data solutions.
  • Implement data quality, monitoring, observability, and automated validation frameworks.
  • Apply AI-driven techniques for anomaly detection, schema drift identification, and intelligent data processing.
  • Optimize Snowflake performance, scalability, and cost efficiency.
  • Prepare curated datasets for analytics and machine learning initiatives.
  • Support CI/CD, source control, and development automation practices.


Required Qualifications

  • Bachelor's degree or equivalent experience.
  • 2+ years of data engineering and ETL/ELT development experience.
  • Hands-on experience with Snowflake and advanced SQL.
  • Experience with dbt, Matillion, or similar data transformation tools.
  • Experience building cloud-based data pipelines.
  • Knowledge of AI/ML concepts related to data preparation and feature engineering.
  • Experience with Git, CI/CD, APIs, and third-party data integrations.


Knowledge, Skills & Abilities

  • Strong analytical, problem-solving, and communication skills.
  • Ability to optimize complex data pipelines and troubleshoot data issues.
  • Strong attention to detail and ability to work independently or collaboratively.
  • Knowledge of healthcare data governance and HIPAA requirements.
  • Ability to communicate complex technical concepts to business stakeholders.
  • Curiosity and willingness to adopt emerging AI and data technologies.