Emerging Field Data Engineer/Specialist

Date: May 4, 2024

Location: Irvine, California, US, 92606

Company: Kia America, Inc.

At Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.

Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and time off starting at 14 days per year. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.




The purpose of this position is to support the Emerging Field Data Manager and Data Evaluation Team (DET) by identifying at an early stage in a model’s life cycle, any emerging potential safety and noncompliance issues through Kia’s Safety Data Analytics Infrastructure (SDAI) system and other supporting applications. This includes review of Kia America (KUS) warranty, Techline, Customer Care, field reports, and quality information reports, as well as NHTSA Vehicle Owner Questionnaires (VOQs) and other data sources, as applicable.

This position will be responsible for performing detailed screening of potential safety issue alerts and escalating relevant alerts for further data analysis and/or investigation. This involves review of data across data sources to identify frequency, severity, and detectability of alerted issues. The position will also provide verbal reports to management, other DET members, and Forensic Engineering & Investigations team members, and support data analysis efforts in the investigation of potential safety and noncompliance issues. 

Major Responsibilities

1st Priority - 40%   

Perform detailed screening of potential safety issue alerts and escalate relevant alerts for further data analysis and/or investigation. Work from SDAI dashboards to identify frequency, severity, and detectability of alerted issues.

2nd Priority -15%  

Develop sophisticated monitoring criteria to ensure that any developments on closed cases are tracked in a timely manner.

3rd Priority - 30%    

Evaluate escalated alerts for any potential trends and communicate findings to Emerging Field Data Manager. Collaborate with the Data Evaluation Team or Forensic Engineering and Investigation Team to support further data analysis. 

4th Priority - 15%    

Assist in the continuous improvement and development of Safety Data Analytics Infrastructure (SDAI) by creating training data for improving machine learning model accuracy and communicating opportunities to improve efficiency to Emerging Field Data Manager.


  • Engineer: BS degree in Engineering or Automotive Technology or equivalent work experience required.
  • Specialist: Bachelors degree in technical field or equivalent work experience

Overall Experience

  • 3-7 years of experience in technical positions such as safety analysis, product quality, technical customer assistance, or in a product engineering environment.
  • Written and oral technical communications experience.  

Directly Related Experience

  • Automotive, aerospace, commercial vehicle, or similar technical work experience required         
  • Working knowledge of statistical analysis concepts and software.

Other Requirements:

  • Schedule(s) may vary due to needs of the business including but not limited to working outside of normal business hours, travel, weekends and/or holidays.
  • Perform other duties as assigned.


Basic knowledge of SAS programing language and Structured Query Language (SQL).
Excellent analytical skills and attention to detail.
Excellent teamwork skills.
Excellent written and oral communication skills.
Intermediate knowledge of automotive systems and components.
Knowledge of PC software such as Microsoft Excel and PowerPoint.
Knowledge of SAS Visual Analytics.
Knowledge of statistics.


Care for People
Chase Excellence, Every Day
Dare to Push Boundaries
Empower People to Act
Move Further, Together

Pay Range

$72,328  -  $94,017

Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.


Equal Employment Opportunities

KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law.  KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices.  The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.


Disclaimer:  The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position.  It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Nearest Major Market: Irvine California
Nearest Secondary Market: Los Angeles

Job Segment: Aerospace Engineering, Statistics, Field Engineer, Engineer, Engineering, Data, Automotive