Tustin, CA

Data Jobs in Tustin, CA

3 jobs found

Include remote jobs

3d ago

Lead Data Engineer - Snowflake

SchoolsFirst FCU Tustin, CA

Tustin, CA

3d ago

$130k - $214k/yr Full time Agile Methodologies Agile Scrum Analytics

Apply Now

Job Description

SchoolsFirst FCU is seeking a Lead Data Engineer to help keep mission-critical operational data platforms running with strong uptime and to drive functional enhancements. This role combines hands-on technical leadership with day-to-day platform operations, end-to-end delivery support across the SDLC, and mentoring guidance for a team of database and application support professionals.

Location: Tustin, CA (onsite)
Compensation: USD 129,880 - 214,303 per year
Experience: 7+ years
Education: Bachelor’s Degree in a related field or equivalent years of experience required

Responsibilities

Own day-to-day operations and uptime for operational data platforms including Snowflake, Qlik, and Boomi, working to minimize downtime and streamline processes and technology.
Partner with the manager to prioritize service requests and lead self-organizing efforts by assigning work to developers, providing technical assistance, and managing project schedules to support on-time delivery.
Provide technical direction to database engineers, database administrators, and back-office application support teams across the design, development, testing, and implementation of projects, making independent decisions on design, development, timelines, and delivery.
Deliver daily support across all SDLC phases to ensure successful project outcomes.
Provide database and integration support for major applications, including designing database architecture and integration additions to existing systems.
Evaluate existing applications to identify performance and automation opportunities.
Set up new development and implementation processes across the IT organization, coordinating teams using SCRUM/Agile or DevOps.
Research industry trends and recommend technologies aligned to current needs.
Develop technical project estimates for small to medium scale projects involving one or more developers.
Act as a senior technical resource across multiple projects, guiding software component design, deliverables, and integrations.
Share technical expertise and support training and mentoring to strengthen team use of technologies and development processes.
Provide management with accurate and timely status reporting for assigned work.

Requirements

High School Diploma or GED required
Bachelor’s Degree in a related field or equivalent years of experience required
7-10 years of prior relevant experience required
Snowflake experience required
Microsoft SQL Server (High)
Data Integration Services (High)
Agile Methodology and SCRUM (High)
IT Service Management (High)
Analytical Platforms (High)
Data Management Best Practices (High)
Qlik and Boomi experience preferred
SnowPro Certification preferred

Additional Job Functions

Performs other duties as assigned
Complies with regulatory compliance and assigned training requirements, including but not limited to BSA regulations corresponding to their specific job duties; failure to do so may result in disciplinary and other employment related actions

Technology Focus

Snowflake, Qlik, Boomi
SCRUM/Agile, DevOps
Microsoft SQL Server

View full job page →

1mo ago

Statistical Data Analyst

SchoolsFirst FCU Tustin, CA

Tustin, CA

1mo ago Closed

$78k - $118k/yr Full time Credit Risk Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

SchoolsFirst FCU is seeking a Statistical Data Analyst to support the development and execution of statistical models used for stress testing, capital planning, budgeting, and CECL-related needs. This onsite role in Tustin, CA focuses on quantitative analysis, validation of model performance, and clear reporting of results to management and other stakeholders.

In this position, you will work with SAS or comparable statistical systems to build, maintain, and assess models that forecast credit losses, loan originations, pre provision net revenue, and additional related measures based on macroeconomic projections and internal business assumptions.

What you’ll do

Assist in the development, maintenance, and execution of statistical models using SAS or comparable systems, including recommending revisions and documenting detailed analysis for stress testing, capital planning, and budgeting.
Update and evaluate existing statistical and predictive models to identify historical trends and forecast future performance of credit losses, loan originations, pre provision net revenue, and related measures.
Use projections of macroeconomic variables from the Federal Reserve and internally developed business assumptions as required by NCUA for capital planning, stress testing, budgeting, and CECL requirements.
Analyze models by challenging assumptions, assessing performance and robustness, writing comprehensive code, creating reporting and validation documents, and presenting findings to management.
Perform and document quantitative assessments across model theoretical aspects, model design and implementation, data integrity, and reliability.
Apply statistical techniques to analyze and interpret data, forecast outcomes, and quantify trends using processes already in place.
Support development of risk and regulatory reporting, including stress testing schedules and capital plan reports, presentations, and written narratives for the Credit Union’s annual capital plan submission.
Create reports and presentations to communicate model and analysis findings to model owners and key stakeholders.
Ensure data accuracy and reliability through established data checks and validations, and communicate data quality concerns to senior analysts and/or management.
Keep current on industry best practices and emerging trends in statistical analysis and modeling and incorporate them into day-to-day work.
Work closely with senior analysts and other team members to understand project requirements, data needs, and deliverables.
Perform other duties as assigned.

Required qualifications

High School Diploma or GED required.
Bachelor’s Degree in a related field or equivalent years of experience required.
1-3 years of prior relevant experience required.
Understanding of statistical methods, probability theory, data cleaning/imputation, and advanced statistical and quantitative analysis required.
Knowledge of a coding-based statistical language such as SAS, R, Python, or Matlab required.
Knowledge of SAS preferred.
Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).
Strong analytical and problem-solving abilities, effective communication and writing skills, and willingness to learn and adapt to new processes.
Data management and data mining skills, specifically with experience using SQL coding preferred.
Comply with regulatory compliance and assigned training requirements, including BSA regulations corresponding to job duties. Failure to comply may result in disciplinary and other employment related actions.

Education

Bachelor’s Degree in a related field required; Master’s Degree preferred.

Compensation and location

Location: Tustin, CA (onsite)
Salary: USD 78,419 - 117,628 per year

Technologies

SAS, R, Python, Matlab
Microsoft Excel, Microsoft Word, Microsoft PowerPoint
SQL

View full job page →

1mo ago

Sr. AI Engineer, Product Development

Rivian Tustin, CA

Tustin, CA

1mo ago Closed

Full time Agentic Ai Ai Agent Artificial Intelligence

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Rivian is hiring a Sr. AI Engineer for its Product Development AI and Data Science team in Tustin, CA (onsite). The role focuses on building agentic AI capabilities and AI-ready data foundations, then applying evaluation frameworks to automate engineering workflows for software-defined hardware.

What You’ll Do

Partner with senior technical staff to design and orchestrate agentic AI workflows and LLM-powered systems that automate complex engineering activities, including documentation auditing, requirement generation, and technical knowledge retrieval.
Build, validate, and maintain ETL pipelines and supporting data structures, including knowledge graphs and vector databases, to deliver high-fidelity context to AI applications across siloed engineering systems.
Run rapid technical trials to assess emerging AI approaches, moving efforts from early concepts to functional prototypes to determine which methods best reduce engineering labor.
Convert early prototypes into robust, highly performant, scalable enterprise systems.
Define and monitor quantitative performance requirements, including accuracy, grounding, latency, and cost, aligned with safety and reliability expectations for vehicle engineering.
Collaborate across teams to identify manual engineering workflows and implement AI-driven automations that improve product development efficiency and productivity.

Required Qualifications

Bachelor’s, master’s, or PhD in a quantitative field (e.g., Computer Science, Electrical Engineering, Mechanical Engineering, Materials Science, Physics, Mathematics, or a related quantitative discipline).
Ideally 4 to 6+ years of experience building production data pipelines and developing AI/ML solutions, with LLM-based application experience preferred.
Experience in repository context engineering, AI-native IDEs and terminals, agentic loop optimization, and AI coding quality with technical debt mitigation.
Hands-on or deep academic knowledge of LLM orchestration and application concepts, including RAG (Retrieval-Augmented Generation), agentic frameworks, context engineering, grounding, evaluation, and cost and latency optimization.
Deep understanding of failure modes in AI systems versus traditional software, including statistical validation test design, tolerance thresholds, and tracking output distributions.
Demonstrated experience with Git, eval-driven CI/CD pipelines, probabilistic validation of AI systems, deployment, and end-to-end system ownership for production environments.
Experience with high-throughput storage systems, containerized harness orchestration, and security or sandbox environments.
Ability to extract, clean, and structure data from technical documents, requirements, or engineering specifications.
Prior experience in physical engineering systems (Hardware, IoT, or Telemetry).
Strong problem-solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams and leading cross-functional efforts.
A drive to learn and master new technologies and techniques.

Technologies

LLM, RAG (Retrieval-Augmented Generation)
ETL
Knowledge graphs, vector databases
Git, CI/CD
Containerized harness orchestration
Neo4j, Pinecone
Spark, Databricks
GCP, DBT

Location and Experience

Location: Tustin, CA (onsite)

Minimum experience: 4 years

Nice to Have

Exposure to graph technologies (such as Neo4j or knowledge graphs) or vector databases (such as Pinecone).
Knowledge of advanced statistical techniques (for example, regression, distribution properties, and appropriate use of statistical tests) and experience applying them.
Knowledge of a range of machine learning techniques (such as clustering, tree-based methods, and deep learning) and understanding tradeoffs in real-world settings.
Experience building user-facing applications.
Experience with distributed data or computing tools, such as Spark, Databricks, and GCP.
Experience with DBT.
Interest in electric vehicles, renewable energy, and sustainable transportation.

View full job page →

Data Jobs in Tustin, CA

Lead Data Engineer - Snowflake

Statistical Data Analyst

Sr. AI Engineer, Product Development

Get Data Jobs in Tustin, CA alerts