Data Engineer Irvine, CA

Overview

Job Description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps.

Unless specifically stated otherwise, this role is On-Site at the location detailed in the job post.

Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 2 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach.

We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups.

Together, we strive to be the leader in financing freedom of movement.

Along with competitive pay, as an employee of HCA, you are eligible for the following benefits:

• Medical, Dental and Vision plans that include no-cost and low-cost plan options
• Immediate 401(k) matching and vesting
• Vehicle purchase and lease discounts plus monthly vehicle allowances
• Paid Volunteer Time Off with company donation to a charity of your choice
• Tuition reimbursement

The Data Engineer is responsible for designing and developing data pipelines and information assets utilizing modern technology approaches to ensure alignment with reference architecture, data requirements, and timely delivery of data pipeline artifacts.

• Solutions Delivery – Analysis, Design, and Development
• Create and maintain optimal data pipeline architecture.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big-data technologies.
• Build data pipelines, ELT optimization, data mappings, and ETL process design to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Ensure that the technical output of the Data Engineering team conforms to best practices and standards.
• Draft technical design and specifications, and data lineage.
• Participate in related assessments such as Data Analysis, Root Cause Analysis, Impact Analysis, As-Is solution assessment and To-Be solution recommendation.
• Test and Maintenance
• Implement improvements to application performance for potential bottlenecks.
• Update process documentation to keep system library up to date.
• Validate system developed according to requirement by testing.
• Solutions Delivery Management
• Follow processes and practices to enable the delivery of data engineering artifacts.
• Execute plans to drive higher solution efficiency and delivery velocity of Data Services solution.

• Minimum 5-7 years’ progressive experience in data analytics, computer systems engineering, or software engineering.
• Proven experience with Data Integration tools such as Informatica, AWS Glue, AWS Redshift, AWS S3, and languages such as Stored Procedures, Python, Spark, etc.
• Auto-finance experience and specifically Cassiopeia product experience required.
• SQL and Oracle knowledge required.
• Bachelor’s degree required. Advanced degree preferred.
• Experience in building and optimizing relational and structured data pipelines, architectures and data sets.
• Strong analytic skills to work with unstructured datasets.
• Has in-depth functional expertise and broad business knowledge of data domains.
• Ability to find solutions on data requirements and issues.
• Ability to conduct code reviews to ensure that the technical output conforms to best practices and standards.
• Ability to communicate and influence Business and IT in terms of understanding the data requirements, respective data solutions, and technical decisions.
• Strong collaboration and motivation skills.
• Strong communication skills (verbal and written).

Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment.

The posted salary range for this job takes into account the wide range of factors that are…