10607 – software engineer iii (data engineer)

data engineer iii

10607 – software engineer iii (data engineer) Jobs in Irvine

ai engineer

data engineer

sales operations analyst 2 Jobs in Irvine

sales operations analyst 2

durability data analytics engineer

Rivian

<div><div>The Durability Attribute engineers predict and test the range of loads and stresses Rivian vehicles will experience over life and need to be durable for&mdash;a challenging prediction problem with many unknowns. With access to large-scale vehicle fleet data and software-defined vehicles that offer greater scope for control and autonomy, vehicle durability is at the forefront of data-driven engineering at Rivian ensuring the &ldquo;Forever&rdquo; in Rivian&rsquo;s mission of Keeping the World Adventurous Forever.</div><div></div><div> 
As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers. You will work with real-world, virtual, and vehicle test data, to identify, classify, and predict customer travel, driving, road surfaces, and other use cases, as well as undesirable events such as ground strikes or recovery events that impact loads on the vehicle and cause lifetime degradation. You will also develop and correlate a hybrid of data- and physics-based models to predict loads and vibrations at various suspension, body, and propulsion components to reduce the need for repeated complex-physics simulations and instrumented vehicle tests. Through your work, you will have the opportunity to improve process automation, efficiency, and standardization of vehicle durability target development.</div> 
<ul><li>
Fleet Data Analytics:</li><li><ul><li>
Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets. Build classification models to identify usage archetypes, usage frequency, and their correlations.</li></ul></li><li>
Data-Driven Modeling and Standardization: ,</li><li><ul><li>
Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue damage, and vibration spectra from vehicle CAN data signals, wheel-force transducer data, or accelerometer data.</li><li>
Develop models to standardize vibration spectra at different vehicle locations across vehicle variants and platforms.</li><li>
Learn from simulation and test data to develop a library of regression models for variance in component loads and fatigue damage with variations in system design parameters and usage types.</li></ul></li><li>
Process Optimization:</li><li><ul><li>
Automate processes such as component block cycle development and accelerated duty cycle development from real-world duty cycle.</li><li>
Apply machine learning on past CAE results to develop ways to reduce the number of CAE test cases and runs.</li></ul></li></ul> 
<ul><li>
Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or Computer Science.</li><li>
A good understanding of vehicle physics and automotive engineering.</li><li>
Passion for Rivian&rsquo;s mission and commitment to fostering an inclusive, respectful, and collaborative workplace.</li><li>
1-3 years experience in data analytics for automotive or related engineering applications.</li><li>
Experience with Python (Pandas, Numpy), PySpark, Matlab, and SQL applied to big datasets. Project or research experience with large time series datasets is desired.</li><li>
Demonstrated expertise with various machine learning techniques applied to automotive use data, test data, or simulation data.</li><li>
Experience in fatigue life estimation (e.g., Rainflow counting, Miner&rsquo;s Rule) and statistical methods (e.g., Weibull analysis)</li><li>
Demonstrated experience in analytical writing (reports, white papers, publications) and clear-and-concise presentations, with attention to detail.</li></ul></div>

Durability Data Analytics Engineer

Commercial Bank of California

<div>
 
 
 Data Engineer
 
 
 
 
 Location:
 
 Irvine, CA
 
 
 
 Job Type:
 
 Full-Time | Exempt | Hybrid Eligible
 
 
 
 Salary Range:
 
 $150,000 &ndash; $170,000 per year
 
 
 
 
 
 
 About Commercial Bank of California
 
 
 
 Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $3.5 billion in assets as of December 2025.
 
 
 We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.
 
 
 As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking&mdash;one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that&rsquo;s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.
 
 
 
 
 
 
 Job Summary
 
 
 
 The Data Engineer is responsible for designing, building, and operating modern, scalable, and governed data platforms that enable enterprise analytics, reporting, and advanced data use cases. With 10+ years of hands on data engineering experience, this role acts as a senior individual contributor and technical leader, owning data architecture, pipelines, governance, and analytics ready data models across cloud platforms.
 
 
 This role has a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but modeled, curated, and governed for high quality business intelligence and analytical consumption. You will work extensively with Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse technologies.
 
 
 
 
 
 
 Essential Duties and Responsibilities
 
 
 
 Data Platform &amp; Architecture
 
 <ul>
 <li>
 Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.
 </li>
 <li>
 Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.
 </li>
 <li>
 Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.
 </li>
 </ul>
 
 Data Engineering &amp; Pipelines
 
 <ul>
 <li>
 Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.
 </li>
 <li>
 Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.
 </li>
 <li>
 Ensure pipelines are resilient, performant, and cost‑efficient in production environments.
 </li>
 </ul>
 
 Analytics Engineering &amp; Data Modeling
 
 <ul>
 <li>
 Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.
 </li>
 <li>
 Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.
 </li>
 <li>
 Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.
 </li>
 </ul>
 
 Governance, Security &amp; Unity Catalog
 
 <ul>
 <li>
 Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.
 </li>
 <li>
 Enforce best practices for data security, role‑based access, and data classification across platforms.
 </li>
 <li>
 Ensure compliance with enterprise data governance and regulatory requirements.
 </li>
 </ul>
 
 DevOps, CI/CD &amp; Reliability
 
 <ul>
 <li>
 Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.
 </li>
 <li>
 Apply best practices for version control, automated testing, environment promotion, and deployment.
 </li>
 <li>
 Monitor production data systems to ensure high availability and operational stability.
 </li>
 <li>
 Experience in databricks asset bundles (DAB) is preferred
 </li>
 </ul>
 
 Cross‑Platform &amp; Modern Analytics Experience
 
 <ul>
 <li>
 Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.
 </li>
 <li>
 Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in data engineering, analytics engineering, or data platform development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field (Master&rsquo;s preferred).
 </li>
 <li>
 Deep hands‑on experience with:
 </li>
 <li>
 Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)
 </li>
 <li>
 Azure Databricks, including Unity Catalog
 </li>
 <li>
 Data modeling for analytics and BI
 </li>
 <li>
 Azure DevOps (CI/CD, Git, automated deployments)
 </li>
 <li>
 Business Intelligence platforms, especially Power BI
 </li>
 <li>
 Advanced proficiency in SQL and strong experience with Python / Spark‑based development.
 </li>
 <li>
 Proven ability to deliver analytics‑ready, production‑grade data solutions.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.
 </li>
 <li>
 Background in financial services or regulated enterprise environments.
 </li>
 <li>
 Experience supporting self‑service analytics and governed data democratization.
 </li>
 <li>
 Snowflake experience considered a strong plus.
 </li>
 <li>
 Familiarity with data quality, metadata management, and lineage tooling.
 </li>
 <li>
 Microsoft certifications such as:
 </li>
 <li>
 Azure Data Engineer Associate (DP‑203)
 </li>
 <li>
 Microsoft Fabric Analytics Engineer (preferred)
 </li>
 </ul>
 
 
 
 
 
 Benefits &amp; Perks
 
 
 <ul>
 <li>
 Competitive employer contribution to medical, dental and vision coverage
 </li>
 <li>
 401k plan with employer match
 </li>
 <li>
 Flexible Spending Accounts (FSA) and Dependent Care Accounts
 </li>
 <li>
 Employee Assistance Program (EAP)
 </li>
 <li>
 Employer provided Calm subscription
 </li>
 <li>
 Employer provided mental health benefits through Teladoc
 </li>
 <li>
 Life, AD&amp;D and disability insurance
 </li>
 <li>
 Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer
 </li>
 <li>
 Online discount program
 </li>
 <li>
 Tuition Reimbursement Program
 </li>
 </ul>
 
 
 Join Our Team!
 
 
 <ul>
 <li>
 Submit your resume to Apply to Your Position Here
 </li>
 </ul>
 
 
 Equal Employment Opportunity &amp; Accommodations
 
 
 
 Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.
 
 
 We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.
 
 
 Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at
 
 hr@cbcal.com
 
 with the nature of your request and your contact information.
 
 
 
 
 
 
 Recruitment Policy
 
 
 
 Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.
 
 
 We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.
 
 
 
 
</div>

Data Engineer

Taco Bell

<div>
 
 Who is Taco Bell?
 
 
 
 Taco Bell was born and raised in California and has been around since 1962. We went from selling everyone&rsquo;s favorite Crunchy Tacos on the West Coast to a global brand with 8,500+ restaurants, 350 franchise organizations, that serve 42+ million fans each week around the globe. We&rsquo;re not only the largest Mexican-inspired quick service brand (QSR) in the world, we&rsquo;re also part of the biggest restaurant group in the world: Yum! Brands.
 
 
 Much of our fan love and authentic connection with our communities are rooted in being rebels with a cause. From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ways that hasn&rsquo;t been done before&hellip; we will continue to be inclusive, bold, challenge the status quo and push industry boundaries.
 
 
 We&rsquo;re a company that celebrates and advocates for different, has bold self-expression, strives for a better future, and brings the fun while we&rsquo;re at it. We fuel our culture with real people who bring unique experiences. We inspire and enable our teams and the world to Live M&aacute;s.
 
 
 At Taco Bell, we&rsquo;re Cultural Rebels. Want to join in on the passion-fueled fun? Learn more about the career below.
 
 
 
 About The Job
 
 
 
 Taco Bell is seeking to add a savvy Data Engineer to join our growing Data and Analytics team. We are looking for a self-driven Data Engineer proficient with SQL &amp; ETL pipelines who is familiar with Cloud technology preferably AWS and has scripting experience. You will work with cross functional partners and third-party vendors to enrich our customer data assets by acquiring, organizing, and aggregating customer data from various sources to construct a full and accurate 360 view of our customer for use in direct/email marketing, targeted media campaigns and analytics. You will build data pipelines to source, analyze and validate data from internal and external customer data sources. This is a great opportunity to work on state-of-the-art data products in a friendly and fun environment.
 
 
 
 Day To Day
 
 
 
 
 <ul>
 <li>
 Design and develop highly scalable and extensible data pipelines from internal and external sources using cloud technology such as AWS, Airflow, Redshift, Snowflake, EMR, DBT.
 </li>
 <li>
 Implement new source of truth datasets, in partnership with analytics and business teams.
 </li>
 <li>
 Collaborate with data product managers, data scientists, data analysts, and data engineers to document requirements and data specifications.
 </li>
 <li>
 Develop, deploy, and maintain serverless data pipelines using Event Bridge, Kinesis, AWS Lambda, S3, and Glue.
 </li>
 <li>
 Focus on performance tuning, optimization and scalability to ensure efficiency.
 </li>
 <li>
 Build out a robust big data ingestion framework with automation, self-heal capabilities and ability to handle data drifts.
 </li>
 <li>
 Adopt automated and manual test strategies to ensure data product quality
 </li>
 <li>
 Learn and understand how Taco Bell products work and help build end-to-end solutions.
 </li>
 <li>
 Ensure high operational efficiency and quality of your solutions to meet SLAs.
 </li>
 <li>
 Actively participate in code reviews and summarize complex data into usable, digestible datasets.
 
 
 
 </li>
 </ul>
 
 Is This You?
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in analytics, statistics, engineering, math, economics, computer science, information technology or related discipline
 </li>
 <li>
 2+ years professional experience in cloud technologies
 </li>
 <li>
 2 - 5 years of experience designing and delivering large scale, 24-7, mission-critical data pipelines and features using modern cloud data architectures
 </li>
 <li>
 2+ years of hands-on experience in Strong coding skills with Python/Pyspark/Spark and SQL
 </li>
 <li>
 3+ years of hands-on experience in ETL pipeline such as Informatica, AWS Glue, DBT etc.
 </li>
 <li>
 3+ years of experience working in Redshift, Snowflake or other relevant databases.
 </li>
 <li>
 Expert knowledge in writing complex SQL and ETL development with experience processing extremely large datasets using batch and real time streaming.
 </li>
 <li>
 Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
 </li>
 <li>
 Experience integrating data using streaming technologies such as Kinesis Firehose, Kafka
 </li>
 <li>
 Experience with AWS Ecosystem, especially Lambda, Redshift, Athena, DynamoDB, Airflow and S3
 </li>
 <li>
 Experience integrating data from multiple data sources and file types such as JSON, Parquet, Iceberg formats.
 </li>
 <li>
 Experience supporting and working with cross-functional teams in a dynamic environment
 </li>
 <li>
 Strong quantitative and communication skill
 </li>
 <li>
 Experience with CI/CD tools like Gitlab, Terraform
 </li>
 <li>
 Good To Have:
 </li>
 <li>
 Proficiency with automated testing using tools like pytest
 </li>
 <li>
 Experience contributing to full lifecycle deployments with a focus on testing and quality.
 </li>
 <li>
 Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement
 </li>
 <li>
 Experience in data quality tools such as Informatica DQ or similar.
 
 
 
 </li>
 </ul>
 
 Work-Hard, Play-Hard
 
 
 
 
 <ul>
 <li>
 Hybrid work schedule (onsite expectation Tues, Wed, Thurs) and year-round flex day Friday
 </li>
 <li>
 Onsite childcare through Bright Horizons
 </li>
 <li>
 Onsite dining center and game room (yes, there is a Taco Bell inside the building)
 </li>
 <li>
 Onsite dry cleaning, laundry services, carwash,
 </li>
 <li>
 Onsite gym with fitness classes and personal trainer sessions
 </li>
 <li>
 Up to 4 weeks of vacation per year plus holidays and time off for volunteering
 </li>
 <li>
 Generous parental leave for all new parents and adoption assistance program
 </li>
 <li>
 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting
 </li>
 <li>
 Comprehensive medical &amp; dental including prescription drug benefits and 100% preventive care
 </li>
 <li>
 Discounts, free food, swag and&hellip; honestly, too many good benefits to name
 
 
 
 </li>
 </ul>
 Salary Range: $108,300- $127,500 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate&rsquo;s location, experience, and other job-related factors.
 
 
 At Taco Bell, we Live M&aacute;s and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self!
 
 
 Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic.
 
 
 Taco Bell is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.
 
 
 US Job Seekers/Employees - To view the "Know Your Rights" poster, click here. You may also access Taco Bell&rsquo;s Pay Transparency Policy Statement.
 
 
 Employment eligibility to work with Taco Bell in the U.S. is required as the company will not pursue visa sponsorship for this position.
 
 
 California Residents: For more information about the categories of personal information we collect from you and how we use, sell, and share that information, please see our Privacy Notice for California Employees here.
</div>

Data Engineer III

Wayvia (formerly PriceSpider)

<div>
 
 Company Overview:
 
 
 
 At Wayvia, we help the world's top brands stay ahead&mdash;using AI, data, and innovation to shape the future of commerce. Whether you're charting a new path or leveling up your journey, Wayvia is where your career can go further. We'd love to meet you.
 
 
 We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other&mdash;with trust, transparency, and the human connection that makes great work possible.
 
 
 At Wayvia, you'll find a team that's curious, collaborative, and always up for solving what's next. We move fast, think boldly, and support one another in building something that matters&mdash;for our clients, for shoppers, and for each other.
 
 
 
 Job Brief:
 
 
 
 The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data initiatives.
 
 
 
 Essential Functions &amp; Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the design, development, testing, deployment, maintenance, and improvement of advanced data engineering solutions and pipelines.
 </li>
 <li>
 Prioritize, manage, and deliver multiple high-impact projects.
 </li>
 <li>
 Establish data quality standards &mdash; automated tests, anomaly detection, and freshness SLAs
 </li>
 <li>
 Write and maintain dbt models, tests, and documentation to ensure data quality and consistency
 </li>
 <li>
 Identify infrastructure improvements to reduce cost, improve reliability, and eliminate single points of failure
 </li>
 <li>
 Build and govern canonical dbt models in Snowflake using dimensional modeling principles, ensuring consistent metric definitions and entity relationships across Looker and the MCP server for both BI and AI consumers
 </li>
 <li>
 Own dbt model governance &mdash; standardize modeling patterns, enforce testing and documentation requirements, and manage the project structure across domains
 </li>
 <li>
 Define and maintain a consistent semantic layer &mdash; metric definitions, business logic, and entity relationships &mdash; ensuring alignment across BI tools, the MCP server, and AI consumers regardless of the tooling layer
 </li>
 <li>
 Support Snowflake administration/Looker administration alongside other data platform team members
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 BS degree in Computer Science or related field or equivalent practical experience.
 </li>
 <li>
 5+ years of data engineering experience, with a track record of designing, building, and maintaining ELT pipelines and dimensional data models in production environments
 </li>
 <li>
 Expertise in processing and integrating large-scale data from multiple sources.
 </li>
 <li>
 Advanced SQL query skills with complex joins and common-table expressions.
 </li>
 <li>
 Strong hands-on Snowflake experience (prior admin experience a plus, but not required)
 </li>
 <li>
 Proficiency with dbt &mdash; production-grade model development, testing, documentation, and project governance
 </li>
 <li>
 Proficient coding skills in Python, Java, or similar languages.
 </li>
 <li>
 Proficiency in Git-based version control and CI/CD pipelines for data infrastructure
 </li>
 <li>
 Familiarity with workflow orchestration tools or Data Orchestration Platform &mdash; (Airflow/Perfect/Dagster, etc)
 </li>
 <li>
 Strong sense of data ownership &mdash; you treat data as a product and hold a high bar for quality and reliability
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with data observability and lineage tools
 </li>
 <li>
 Knowledge of AI/ML
 </li>
 <li>
 Experience building or contributing to a semantic layer or canonical data model, with emphasis on consistent metric and entity definitions across consumers
 </li>
 <li>
 Experience with Looker development or administration
 </li>
 <li>
 Background in e-commerce, retail analytics, or SaaS data platforms
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions:
 
 
 <ul>
 <li>
 Flexible work-from-home arrangements
 </li>
 <li>
 401K Match
 </li>
 <li>
 Flexible vacation
 </li>
 <li>
 Medical/Dental/Vision
 </li>
 <li>
 16 weeks of paid parental leave (US)
 </li>
 <li>
 Technical stipend
 </li>
 <li>
 Professional development programs
 </li>
 <li>
 Wellness programs
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 This is a remote position open to candidates based in the United States.
 
 
 
 Compensation:
 
 
 
 The salary for this role is $130,000-160,000. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law.
 
 
 
 Wayvia is an equal opportunity employer that is committed to inclusion and diversity.
 
</div>

Hyundai AutoEver America

<div>
 
 10607 &ndash; Software Engineer III (Data Engineer), Irvine, CA
 
 
 
 
 Company Overview
 
 
 
 Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
 
 
 HAEA offers a truly global and collaborative environment. Here, you&rsquo;ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
 
 
 At HAEA, we understand that IT is the cornerstone of today&rsquo;s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai&rsquo;s Global Headquarters and North American operations.
 
 
 If you&rsquo;re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that&rsquo;s driving the future of automotive innovation.
 
 
 
 Role Overview
 
 
 
 We are seeking a motivated and detail-oriented Data Engineer to join our data engineering team. The role focuses on developing workflow automation using Apache Airflow and building scalable data pipelines. You will collaborate with data scientists, analysts, and engineering teams to ensure seamless data integration and optimize data-driven processes.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines and ETL processes to transform and integrate data from multiple sources.
 </li>
 <li>
 Develop workflow automation using Apache Airflow and manage production batches with performance tuning.
 </li>
 <li>
 Create and optimize data models, schemas, and database structures for scalability and efficiency.
 </li>
 <li>
 Implement best practices in data warehouse and MDM applications, ensuring data governance, security, and quality.
 </li>
 <li>
 Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
 </li>
 <li>
 Develop scripts and automation tools to streamline data processing and pipeline operations.
 </li>
 <li>
 Implement automated monitoring, alerting systems, and maintain documentation for pipelines and data models.
 </li>
 <li>
 Create reports and visualizations to communicate pipeline performance and data insights.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 10+ years of experience in data warehouse and MDM applications.
 </li>
 <li>
 Extensive knowledge of SQL and relational databases.
 </li>
 <li>
 Strong programming skills in Python and PL/SQL.
 </li>
 <li>
 10+ years of experience working with Informatica.
 </li>
 <li>
 Knowledge of Informatica IDMC and PowerCenter is a must.
 </li>
 <li>
 Knowledge of big data technologies such as Apache Spark, Hadoop, or equivalent cloud-based services.
 </li>
 <li>
 Strong understanding of data governance, security, and quality practices in cloud environments.
 
 
 </li>
 </ul>
 Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
 
 
 Salary Range - $96,500 to $138,061
 
 
 In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment.
 
 
 Team Culture:
 
 
 Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:
 
 
 <ul>
 <li>
 Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry.
 </li>
 <li>
 Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes.
 </li>
 <li>
 Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
 </li>
 <li>
 Growth: We prioritize personal and professional growth, offering opportunities for learning and development.
 </li>
 <li>
 Inclusivity: We maintain an inclusive culture where diverse perspectives are valued, and everyone feels welcome.
 
 
 </li>
 </ul>
 
 Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.
 
</div>

10607 – Software Engineer III (Data Engineer)

Arch Telecom

<div>We&rsquo;re a national Wireless Preferred Retailer for the #1 Mobile provider in the country, with 200+ retail stores across the U.S. Since &lsquo;93, we&rsquo;ve been providing superior service and quality wireless products featuring the latest in technology. As a recognized leader in the wireless retail industry, we consistently deliver the solutions and service our customer&rsquo;s demand!
We are looking for a motivated and innovative AI Engineer with 4 yrs of full-time experience in Machine Learning and AI Automation to join our growing team at Arch Telecom. This role is ideal for someone passionate about building intelligent systems, working with data, and applying machine learning or AI solutions to real-world business problems.
Key Responsibilities<ul><li>
Develop, test, and deploy AI/ML models to support business initiatives</li><li>
Work with structured and unstructured data to build predictive and analytical solutions</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems</li><li>
Assist in designing and implementing NLP, computer vision, or automation solutions (as applicable)</li><li>
Optimize model performance and ensure scalability</li><li>
Stay up to date with emerging AI technologies and best practices</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or related field</li><li>
4+ years of hands-on experience in AI/ML development</li><li>
Proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>
Experience with data processing tools (Pandas, NumPy, etc.)</li><li>
Basic understanding of machine learning algorithms and model evaluation techniques</li><li>
Familiarity with APIs and integrating AI models into applications</li></ul>
Preferred Qualifications<ul><li>
Experience with NLP, LLMs, or generative AI tools</li><li>
Exposure to cloud platforms (AWS, Azure, or GCP)</li><li>
Knowledge of SQL and database systems</li><li>
Experience with version control (Git) and MLOps practices</li></ul>
Apply Now: www.archtelecom.net
Inquiries: Recruiting@archtelecom.net
IND2</div>

AI Engineer

Angels Creation Reproductive Center

About the Role We are seeking a highly skilled Digital Marketing &amp; AI Integration manage ACRC Global&rsquo;s digital marketing strategy, execution, and performance optimization across paid Ads, SEO, website management, lead tracking, and conversion funnels. This role is responsible for driving qualified leads, including intended parents, surrogates, and donors, through coordinated multi-channel campaigns while continuously improving conversion rates, user experience, and return on investment. This position also plays a key role in the development and integration of AI-driven tools and solutions to improve marketing efficiency, automation, personalization, and scalability. The ideal candidate combines strong digital marketing expertise with analytical thinking, systems management capabilities, and a proactive approach to innovation and growth.Qualifications<ul><li>Bachelor&rsquo;s degree in Marketing, Communications, Business, Digital Media, or a related field preferred.</li><li>[Insert preferred years] years of experience in digital marketing, performance marketing, growth marketing, or related roles.</li><li>Proven experience managing paid media campaigns across Meta and Google.</li><li>Strong understanding of SEO, SEM, lead generation, landing page optimization, and conversion funnel management.</li><li>Experience with CRM systems, marketing automation, and cross-platform integrations.</li><li>Strong analytical skills with the ability to interpret campaign data and make performance-based decisions.</li><li>Experience using AI tools or implementing AI-driven workflows in marketing or operations.</li><li>Excellent project management, organizational, and cross-functional communication skills.</li><li>Ability to work independently, manage multiple priorities, and thrive in a fast-paced environments</li><li>Fluent in English and Mandarin is preferred</li></ul>Preferred Skills<ul><li>Experience with WIX, Go High Level, Lark, SEMrush, Supabase, and related digital marketing platforms.</li><li>Familiarity with AI platform development, AI agents, or no-code/low-code automation systems.</li><li>Experience in healthcare, fertility, family-building, or lead-generation-driven service industries is a plus.</li><li>Knowledge of UX best practices, conversion rate optimization, and customer journey mapping</li></ul>Primary Platforms and ToolsLark, Go High Level, Meta Ads Manager, Google Ads, SEMrush, WIX, PR Newswire, LinkedIn, X, TikTok, Instagram, Zoom, Reddit, and related analytics and lead-tracking tooJob Duties &amp; ResponsibilitiesDigital Campaign Strategy and Execution<ul><li>Plan, launch, and manage digital marketing campaigns across web, SEO, PPC, SEM, email, database marketing, display advertising, Meta, Google, and other relevant channels.</li><li>Align campaigns with monthly lead generation and consultation KPIs.</li><li>Develop audience targeting strategies to improve lead quality and campaign efficiency.</li></ul>Keyword, Ad, and Audience Optimization<ul><li>Conduct keyword research and ongoing optimization, including positive and negative keyword management.</li><li>Refresh ad headlines, descriptions, creatives, and audience segments based on performance and search intent.</li><li>Reduce irrelevant traffic and improve qualified lead generation through continuous campaign refinement.</li></ul>Social Media and Content Promotion<ul><li>Design, build, maintain, and support ACRC Global&rsquo;s social media presence across relevant platforms.</li><li>Coordinate boosted webinar posts, video content promotion, and LinkedIn blog distribution.</li><li>Support content visibility through strategic posting and cross-channel promotion.</li></ul>Performance Analytics and Reporting<ul><li>Track, measure, analyze, and report campaign performance on a weekly basis.</li><li>Evaluate KPIs, ROI, conversion rates, and lead quality across channels.</li><li>Make data-driven recommendations regarding campaign scaling, pausing, ending, or launching.</li></ul>Growth Strategy and Testing<ul><li>Brainstorm and implement new digital growth initiatives to improve acquisition and conversion.</li><li>Run experiments, A/B tests, and conversion optimization tests across campaigns, landing pages, and user journeys.</li><li>Explore emerging platforms, technologies, and acquisition channels for surrogate, intended parent, and donor audiences.</li></ul>Website, Landing Pages, and User Experience<ul><li>Collaborate with internal teams to create, update, and optimize landing pages and website content.</li><li>Improve site structure, messaging, calls to action, and overall user experience.</li><li>Identify friction points and optimize the customer journey from first click through lead submission.</li></ul>Funnel and Marketing Automation Optimization<ul><li>Evaluate the full customer experience across touchpoints and identify conversion gaps and drop-off points.</li><li>Optimize lead funnels, workflows, and automations within Go High Level and connected systems.</li><li>Improve marketing process efficiency through better tracking, automation, and system logic.</li></ul>Competitor and Market Research<ul><li>Conduct ongoing competitor and market analysis within the digital marketing and AI space.</li><li>Monitor competitor positioning, campaigns, messaging, product features, and channel strategy.</li><li>Translate insights into actionable recommendations for growth, differentiation, and user acquisition.</li></ul>SEO and Content Visibility<ul><li>Support SEO efforts through blog publishing, metadata optimization, keyword implementation, backlink development, and press release coordination.</li><li>Manage WIX SEO settings and optimize content for search visibility and AI-driven discovery.</li><li>Ensure content is properly structured and published to support organic traffic growth.</li></ul>Lead Tracking and Marketing Operations<ul><li>Monitor incoming leads across Go High Level, Lark trackers, WIX, and campaign platforms.</li><li>Maintain weekly and monthly reports on lead outcomes, campaign performance, and KPI progress.</li><li>Support cross-functional communication and follow-up with internal stakeholders and marketing partners.</li></ul>System Development, Maintenance, and Integration<ul><li>Develop, manage, and maintain the company&rsquo;s marketing and operational technology stack.</li><li>Build and improve workflows, automations, and integrations across platforms such as Lark, Go High Level, Supabase, and related tools.</li><li>Ensure systems are scalable, reliable, and optimized for performance and data flow.</li></ul>AI Integration and Innovation<ul><li>Lead the implementation and integration of AI-driven tools to improve marketing performance and operational efficiency.</li><li>Use AI solutions for automation, content generation, data analysis, customer engagement, and workflow optimization.</li><li>Evaluate emerging AI technologies and identify practical applications to improve personalization, productivity, and campaign effectiveness.</li><li>Support the development and enhancement of the company&rsquo;s AI agent platform and related AI initiatives.</li></ul>Key Operational Expectations<ul><li>Monitor Meta, Google, and other active campaigns regularly and provide weekly analytics updates.</li><li>Review weekend surrogate lead volume and geographic trends each Monday and share updates with the Digital Marketing team.</li><li>Maintain accurate weekly and monthly tracking documents for campaign performance, lead outcomes, and KPI progress.</li><li>Coordinate with internal stakeholders and cross-functional teams as needed.</li><li>Publish and maintain website content in WIX, including blogs and SEO settings before publication.</li><li>Monitor competitors and industry activity using tools such as SEMrush and Meta Ads Library.</li><li>Continuously optimize campaigns, creatives, audiences, funnels, and automations to improve ROI and lead quality.</li><li>Identify workflow bottlenecks and proactively recommend automation or process improvements.</li><li>Stay current on AI trends, digital</li></ul>Job Type: Full-timePay: From $65,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Employee discount</li><li>Health insurance</li><li>Paid time off</li><li>Retirement plan</li></ul>Work Location: In person

Digital Marketing Specialist (AI & Paid Ads,SEO)

Explore 61+ Durability data analytics engineer in Irvine this April. Find roles across top companies and apply now to boost your career.

61 durability data analytics engineer jobs In Irvine

Durability Data Analytics Engineer

Data Engineer

Data Engineer III

Data Engineer III

10607 – Software Engineer III (Data Engineer)

AI Engineer

Digital Marketing Specialist (AI & Paid Ads,SEO)