Sr. Data Engineer

What You Will Bring

Minimum 8 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.

Bachelors degree required.

Advanced degree preferred.

Working knowledge 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).

Work Environment

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 considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range.

California Privacy Notice

This notice only applies to our applicants who reside in the State of California.

The latest version of our Privacy Policy can be found here. This Privacy Policy provides you with notice at or before the point of collection about the categories of personal information to be collected from you the purposes for which your personal information is collected or used and whether that information is sold or shared so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018 as amended as amended by the California Privacy Rights Act of 2020 (CCPA).

If you have any questions about CCPA regarding California residents or HCA team members please contact the Privacy Team at .

Who We Are

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.

We Take Care of Our People

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

What to Expect

The Sr. Data Engineer is responsible for partnering with business and technology stakeholders to understand data needs and deliver high-impact solutions that support enterprise goals. This includes leading the design and development of scalable data pipelines and information assets using modern technologies that align with reference architecture and enable timely iterative delivery. This role requires a proactive consultative mindset and a strong sense of ownership driving collaboration guiding technical direction and influencing outcomes to ensure that data solutions not only meet requirements but also empower internal clients to make informed strategic decisions.

What You Will Do

1. 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 to provide actionable insights into customer acquisition operational efficiency and other key business performance metrics.

Responsible for collaborating with others on development and delivery of ETL architecture design and ETL programs Data Reconciliation processes and Data Services solutions.

Responsible for ensuring that the technical output of the Data Engineering team conforms to best practices and standards.

Perform hands-on development of solutions as well as performance optimization data mappings and ETL progress design

Draft technical design and specifications and data lineage.

Responsible for other related assessments such as Data Analysis Root Cause Analysis Impact Analysis As-Is solution assessment and To-Be solution recommendation etc.

2. Lead Solutions Delivery Management

Work closely with Business and IT teams to ensure the delivered solutions meet Data delivery requirements.

Partner with other internal stakeholders to assess how technologies can best streamline processes and/or add value.

Manage projects effectively and resolve simple to complex problems with urgency and diplomacy. Execute plans to drive higher solution efficiency and delivery velocity of Data Services solution.

3. Test and Maintenance

Monitor and test application performance for potential bottlenecks identify possible solutions and work with developers to implement fixes

Write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks

Update process documentation to keep system library up to date

Manage and monitor all installed systems and infrastructure.

Validate data solutions against requirements through structured testing and quality assurance