Data Analytics Engineer Jobs in Irvine, CA
Data Analytics Engineer jobs in Irvine are in strong demand, concentrated in the Irvine Spectrum, Irvine Business Complex, and the Irvine Tech Corridor across life sciences, enterprise software, and financial services. Leading employers posting roles right now include PDS Health, xe, and Rivian. Find a role that fits below and apply directly.
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Build the Data & Analytics Foundation for a Growing Enterprise!
Archwest Capital is seeking a highly technical Principal Data & Analytics Engineer to help architect and build the next generation of our enterprise data and analytics platform.
This is a senior, hands-on individual contributor role. You’ll personally design data architecture, build modern data pipelines, develop executive dashboards, and deliver analytics solutions that drive business decisions across the company.
Working closely with Technology leadership and executives across Finance, Capital Markets, Operations, Servicing, Asset Management, Accounting, and Sales, you’ll transform enterprise data into trusted business intelligence while establishing the technical foundation for our long-term Data & Analytics practice.
As Archwest continues to grow, you’ll have the opportunity to help shape the future of the function, mentor future team members, and potentially evolve into a leadership role.
What You'll Do
- Architect and build our enterprise data platform, reporting ecosystem, and analytics infrastructure.
- Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering tools.
- Build and optimize enterprise data warehouse solutions and governed datasets.
- Integrate Salesforce, lending systems, financial platforms, APIs, and third-party data sources.
- Develop executive dashboards, operational reporting, and self-service analytics solutions.
- Translate complex business problems into scalable data solutions and actionable insights.
- Establish enterprise reporting standards, KPI definitions, data governance, and data quality best practices.
- Optimize SQL performance, database architecture, and data reliability.
- Evaluate AI-enabled analytics, predictive modeling, and intelligent automation opportunities.
- Partner directly with executive leadership to support strategic initiatives and improve decision-making.
- Help define the long-term enterprise data strategy and technology roadmap.
- Mentor future analysts and engineers as the team expands.
What We're Looking For
We’re looking for an experienced engineer who enjoys solving complex business problems through data and engineering.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Mathematics, or a related field.
- 10+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or related disciplines.
- Expert-level SQL skills with deep experience in relational database design, optimization, and performance tuning.
- Hands-on experience building modern ETL/ELT pipelines using technologies such as Azure Data Factory or Snowflake.
- Experience designing enterprise data warehouses, semantic models, and scalable reporting architectures.
- Strong experience with enterprise BI tools such as Power BI, Tableau, or equivalent.
- Excellent communication skills with the ability to present technical concepts and analytical insights to executive leadership.
- Experience integrating Salesforce and other enterprise platforms using APIs and modern integration technologies.
- Experience with cloud-based data platforms within Azure, AWS, or Google Cloud.
- Proficiency with Python or similar scripting languages for automation, analytics, and data processing.
- Experience using Git, CI/CD, and modern software development practices.
- Strong understanding of enterprise data governance, metadata, lineage, and data quality.
Preferred Qualifications
- Experience within lending, mortgage, financial services, banking, commercial real estate, or investment management.
- Experience supporting Capital Markets, Finance, or Executive reporting.
- Knowledge of loan servicing, portfolio analytics, underwriting, or production reporting.
- Experience implementing enterprise reporting strategies or Business Intelligence Centers of Excellence.
- Experience evaluating or implementing AI-enabled analytics and intelligent automation solutions.
What Makes This Opportunity Different
This role offers the opportunity to build, not simply maintain.
- Build the enterprise data platform.
- Work with executives and leadership on high-impact strategic initiatives.
- Influence enterprise architecture and long-term technology decisions.
- Establish standards, governance, and best practices across the organization.
- Drive meaningful business outcomes through modern analytics and AI.
- Help shape and grow the future Data & Analytics organization.
If you enjoy owning technical architecture, solving challenging business problems, and building modern data platforms that create measurable business value, we’d love to talk.
Salary range for this position is $150k – $175k
OUR VALUES
What We Stand For
The principles that shape how we work, treat each other, and show up for our clients every day.
Cooperation
We win as a team. We share what we know, back one another up, and put collective success ahead of individual credit.
Communication
We're clear, direct, and responsive with each other and with our clients, so nothing falls through the cracks.
Initiative
We take ownership, anticipate what's needed, and move without waiting to be asked. Good ideas can come from anyone.
Energy
We bring drive and a positive attitude to our work, pushing hard to deliver for our borrowers and partners.
OUR TEAM
Leadership Team
Our executive team provides investors more than just capital for single-family residential and multifamily investments. We deliver innovative, tailored financing solutions, guidance, support, expediency and efficiency with every transaction.
Apply below or email us directly at careers@archwestcapital.com
Build the Data & Analytics Foundation for a Growing Enterprise!
Archwest Capital is seeking a highly technical Principal Data & Analytics Engineer to help architect and build the next generation of our enterprise data and analytics platform.
This is a senior, hands-on individual contributor role. You’ll personally design data architecture, build modern data pipelines, develop executive dashboards, and deliver analytics solutions that drive business decisions across the company.
Working closely with Technology leadership and executives across Finance, Capital Markets, Operations, Servicing, Asset Management, Accounting, and Sales, you’ll transform enterprise data into trusted business intelligence while establishing the technical foundation for our long-term Data & Analytics practice.
As Archwest continues to grow, you’ll have the opportunity to help shape the future of the function, mentor future team members, and potentially evolve into a leadership role.
What You'll Do
- Architect and build our enterprise data platform, reporting ecosystem, and analytics infrastructure.
- Design, develop, and maintain scalable ETL/ELT pipelines using modern data engineering tools.
- Build and optimize enterprise data warehouse solutions and governed datasets.
- Integrate Salesforce, lending systems, financial platforms, APIs, and third-party data sources.
- Develop executive dashboards, operational reporting, and self-service analytics solutions.
- Translate complex business problems into scalable data solutions and actionable insights.
- Establish enterprise reporting standards, KPI definitions, data governance, and data quality best practices.
- Optimize SQL performance, database architecture, and data reliability.
- Evaluate AI-enabled analytics, predictive modeling, and intelligent automation opportunities.
- Partner directly with executive leadership to support strategic initiatives and improve decision-making.
- Help define the long-term enterprise data strategy and technology roadmap.
- Mentor future analysts and engineers as the team expands.
What We're Looking For
We’re looking for an experienced engineer who enjoys solving complex business problems through data and engineering.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, Mathematics, or a related field.
- 10+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or related disciplines.
- Expert-level SQL skills with deep experience in relational database design, optimization, and performance tuning.
- Hands-on experience building modern ETL/ELT pipelines using technologies such as Azure Data Factory or Snowflake.
- Experience designing enterprise data warehouses, semantic models, and scalable reporting architectures.
- Strong experience with enterprise BI tools such as Power BI, Tableau, or equivalent.
- Excellent communication skills with the ability to present technical concepts and analytical insights to executive leadership.
- Experience integrating Salesforce and other enterprise platforms using APIs and modern integration technologies.
- Experience with cloud-based data platforms within Azure, AWS, or Google Cloud.
- Proficiency with Python or similar scripting languages for automation, analytics, and data processing.
- Experience using Git, CI/CD, and modern software development practices.
- Strong understanding of enterprise data governance, metadata, lineage, and data quality.
Preferred Qualifications
- Experience within lending, mortgage, financial services, banking, commercial real estate, or investment management.
- Experience supporting Capital Markets, Finance, or Executive reporting.
- Knowledge of loan servicing, portfolio analytics, underwriting, or production reporting.
- Experience implementing enterprise reporting strategies or Business Intelligence Centers of Excellence.
- Experience evaluating or implementing AI-enabled analytics and intelligent automation solutions.
What Makes This Opportunity Different
This role offers the opportunity to build, not simply maintain.
- Build the enterprise data platform.
- Work with executives and leadership on high-impact strategic initiatives.
- Influence enterprise architecture and long-term technology decisions.
- Establish standards, governance, and best practices across the organization.
- Drive meaningful business outcomes through modern analytics and AI.
- Help shape and grow the future Data & Analytics organization.
If you enjoy owning technical architecture, solving challenging business problems, and building modern data platforms that create measurable business value, we’d love to talk.
Salary range for this position is $150k – $175k
OUR VALUES
What We Stand For
The principles that shape how we work, treat each other, and show up for our clients every day.
Cooperation
We win as a team. We share what we know, back one another up, and put collective success ahead of individual credit.
Communication
We're clear, direct, and responsive with each other and with our clients, so nothing falls through the cracks.
Initiative
We take ownership, anticipate what's needed, and move without waiting to be asked. Good ideas can come from anyone.
Energy
We bring drive and a positive attitude to our work, pushing hard to deliver for our borrowers and partners.
OUR TEAM
Leadership Team
Our executive team provides investors more than just capital for single-family residential and multifamily investments. We deliver innovative, tailored financing solutions, guidance, support, expediency and efficiency with every transaction.
Apply below or email us directly at careers@archwestcapital.com
See All 155+ Data Analytics Engineer Jobs in Irvine
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Irvine
Who's Hiring
- PDS Health31
- xe16X
- Rivian16
- EVERSANA16
- ITT16
Data Analytics Engineer Jobs in Irvine: Frequently Asked Questions
How do I get a data analytics engineer job in Irvine?
The strongest entry point in Irvine is targeting its life sciences, enterprise software, and financial services sectors, which drive the bulk of local demand. Roles concentrate in the Irvine Spectrum and Irvine Business Complex, where mid-size tech companies and large corporate campuses both hire. Candidates with hands-on experience in dbt, Snowflake, or Spark and a portfolio of production pipeline work stand out from applicants who list skills without evidence.
Which companies hire data analytics engineers in Irvine?
Irvine data analytics engineer roles are posted by PDS Health, xe, and Rivian and others right now, based on current listings on Migrate Mate as of November 2026. Irvine's employer mix skews toward established tech subsidiaries, health-tech companies, and financial services firms that maintain sizable in-house data teams.
Are there remote data analytics engineer jobs in Irvine?
Yes, data analytics engineering is well-suited to remote and hybrid arrangements given its desk-based, collaborative-tooling nature. About 100% of data analytics engineer openings tied to Irvine are remote or hybrid as of November 2026, reflecting how widely Irvine employers have adopted flexible work policies since the pandemic. Pipeline and modeling work is especially common in fully remote configurations, while roles requiring close coordination with Irvine-based data science or product teams tend to be hybrid.
How can I get a data analytics engineer job in Irvine with little or no experience?
The most realistic entry path in Irvine is landing a junior data or analytics engineer role at one of its many mid-size SaaS or health-tech companies, which often hire entry-level candidates who can demonstrate project work over credentials. Roles like data analyst, analytics associate, or BI developer at Irvine-based firms frequently serve as lateral moves into data analytics engineering. Building a public portfolio using tools common in Irvine's tech ecosystem, such as dbt and BigQuery, and applying through UC Irvine's industry partnerships can accelerate the search.
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See All 155+ Data Analytics Engineer Jobs in Irvine
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