data engineer iii

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

ai engineer

analyst, data analytics

data center engineer

data 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

Robert Half

<div>
 
 🚀
 
 Data Engineer (2 Openings) | Healthcare Data | $120K&ndash;$150K | SoCal (Hybrid/Onsite)
 
 
 
 I&rsquo;m partnering with a
 
 stable, mission-driven organization in the healthcare space
 
 that is investing heavily in its data infrastructure and analytics capabilities. We&rsquo;re hiring
 
 two Data Engineers
 
 to help build and scale modern data pipelines while supporting critical business insights across the organization.
 
 
 
 
 
 This is a great opportunity for someone who enjoys working across both
 
 data engineering and analytics
 
 , with visibility into high-impact projects and the ability to influence how data is used across the business.
 
 
 
 
 
 🔧
 
 What You&rsquo;ll Be Doing:
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines (ETL/ELT)
 </li>
 <li>
 Support and optimize a cloud-based data environment (Microsoft stack)
 </li>
 <li>
 Partner with business stakeholders to deliver actionable insights
 </li>
 <li>
 Develop and maintain data models for reporting and analytics
 </li>
 <li>
 Improve data quality, governance, and accessibility
 </li>
 <li>
 Collaborate with engineering and analytics teams to bring new data initiatives into production
 </li>
 </ul>
 
 
 
 
 🧠
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 
 3&ndash;10 years of experience
 
 in Data Engineering, BI, or Analytics
 </li>
 <li>
 
 Strong T-SQL and Python experience (both required)
 
 </li>
 <li>
 Proven experience building and maintaining data pipelines (ETL/ELT)
 </li>
 <li>
 Experience with
 
 Power BI, SSRS, or similar reporting tools
 
 </li>
 <li>
 Exposure to
 
 Azure (ADF, Synapse, or Microsoft Fabric is a plus)
 
 </li>
 <li>
 Solid understanding of data modeling and data architecture
 </li>
 <li>
 Ability to work cross-functionally and communicate with non-technical teams
 </li>
 </ul>
 
 
 
 
 💡
 
 Nice to Have:
 
 
 <ul>
 <li>
 Experience in healthcare, insurance, or regulated environments
 </li>
 <li>
 Familiarity with data governance and compliance (HIPAA a plus)
 </li>
 </ul>
 
 
 
 
 💰
 
 Compensation &amp; Details:
 
 
 <ul>
 <li>
 Salary range:
 
 $120K&ndash;$150K base
 
 (depending on experience)
 </li>
 <li>
 
 2 openings
 
 &ndash; team is actively growing
 </li>
 <li>
 Stable, long-term opportunity with strong leadership support
 </li>
 <li>
 Hybrid/onsite role in Southern California
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re someone who enjoys
 
 building, improving, and owning data pipelines
 
 while working closely with the business, I&rsquo;d love to connect.
 
</div>

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>

Americor

<div>Americor is an innovative finance technology company, with a unique approach to debt resolution. Americor focuses on getting Americans out of debt quickly and responsibly so they can take control of their lives again. Our employees love coming to work and find value in what they do, consistently recognizing Americor as a top place to work. With over a decade of experience paired with a number of best company awards, Americor has relieved over $2 billion in debt for over 200,000 Americans. 
We are currently looking for a Sr Data Engineer to join our rapidly growing team. Specific job title and offer to align to the qualifications of the candidate. 
 
<ul><li>Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time</li></ul>
Compensation: $90,000-$110,000 annually, dependent on experience. 
Location: Hybrid/Irvine, CA (In-office every Tuesday). 
Schedule: Monday&ndash;Friday, with weekend on-call availability required as needed. 
 
Essential Job Functions:<ul><li>
Custodianship of the data warehouse, warehouse architecture and connectivity</li><li>
Use new and sustainable engineering and servicing capabilities</li><li>
Answer data servicing needs every day with designs, builds and maintenance that supports ongoing data collection, cleansing, storage, processing and retrieval</li><li>
Designs should be simple, disciplined and largely universally adaptable</li><li>
Builds should exhibit use of engineering best practices with low touch automation</li><li>
Maintenance should be based on reliable monitoring and transparent change management</li><li>
Data collection, cleansing and storage should span source replication, enriched star schema transformation and final data mart custodianship</li><li>
Data processing and retrieval should be monolithic or microservice based on end data need</li><li>
Other duties as assigned</li></ul>
Education and Experience Requirements:<ul><li>
Bachelor's degree in quantitative field or equivalent experience; Master&rsquo;s preferred</li><li>
Advanced proficiency with SQL; experience with dbt preferred</li><li>
Intermediate proficiency with Python; experience with Airflow and Django Python framework preferred</li><li>
Experience with building and consuming REST APIs and interacting with OAuth</li><li>
Experience with cloud services preferred; AWS preferred</li><li>
Excellent verbal, written and interpersonal communication skill</li></ul>
Americor offers a competitive benefits package:<ul><li>
Career path</li><li>
Medical</li><li>
Dental</li><li>
Company paid group life / AD&amp;D insurance</li><li>
7 paid holidays and 2 flex days to use at will</li><li>
Paid time off</li><li>
Flexible spending/HAS</li><li>
Employee Assistance Program (EAP)</li><li>
401(k)</li><li>
Referral program</li></ul> 
#LI-JR1
Note to Agencies: Americor Funding Inc. has an internal recruiting department and may, at times, supplement that capability with assistance from temporary staffing agencies, placement services, and professional recruiters (&ldquo;Agency&rdquo;). Agencies are directed not to contact Americor Funding Inc. employees directly to present candidates. It is the Company&rsquo;s policy that all candidates must be presented to hiring managers exclusively by the internal recruiting team or other authorized personnel.
Any unsolicited resumes sent to Americor Funding Inc. by an Agency&mdash;including those sent to any Company mailing address, fax, email, employee, or the resume database&mdash;will be considered the property of the Company. Americor Funding Inc. will not pay a fee for any placement resulting from an unsolicited resume. Any candidate for whom an Agency submits an unsolicited resume will be deemed referred at no cost to the Company.
Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.
W1Xsa4MYHV</div>

Sr. Data Engineer

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.
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 Knowledge of big data technologies such as Apache Spark, Hadoop, or equivalent cloud-based services.
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 Strong understanding of data governance, security, and quality practices in cloud environments.
 
 
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 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:
 
 
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 Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry.
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 Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes.
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 Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
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 Growth: We prioritize personal and professional growth, offering opportunities for learning and development.
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 Inclusivity: We maintain an inclusive culture where diverse perspectives are valued, and everyone feels welcome.
 
 
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 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)

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

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10607 – Software Engineer III (Data Engineer)

Durability Data Analytics Engineer