Data Engineer

Talentify; Raymond (OH); Hybrid; USD 45,000 - 51,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Life Insurance

Disability insurance

Health Savings Account

Paid time off

Job summary

Actalent is seeking a Data Engineer for Warranty and Market Quality Analytics to review warranty claims and field quality data. You will work with a small data engineering team to support root cause investigations across vehicle systems and regulatory reporting requirements.

The role emphasizes data analytics, Excel/SQL expertise, and collaboration with design, engineering, and quality teams. This contract-to-hire position is hybrid in Raymond, OH, with a focus on timely, well-documented

Qualifications

• 3+ years in data analytics or 2–8 years across analytical roles
• Strong attention to detail with large datasets
• Proficiency in data management, reporting, and processes
• Advanced Excel for data analysis, reporting, and visualization
• SQL queries for relational databases and data extraction
• Ability to work under tight deadlines and manage multiple requests
• Excellent written and verbal communication for technical and non‑technical stakeholders
• Knowledge of warranty and safety claim processes and related workflows
• Familiarity with VOQ reporting and safety‑related data analysis
• Discretion handling sensitive information
• Strong organizational skills for prioritization and documentation
• Bachelor’s degree in CS, Analytics, Engineering, Economics, or related field
• Experience with warranty analysis and vehicle datasets

Responsibilities

• Review and disposition warranty claims, customer contacts, and Field Quality Reports.
• Analyze failure trends across vehicle systems and validate technical relevance of complaints.
• Determine root causes by synthesizing data sources and engineering insights.
• Use data such as OBD data, repair methods, history, defect information, QICS and FIC records for validation.
• Complete ad-hoc data requests with timely, accurate responses.
• Conduct weekly audits of FS filters and AI classifications to catch issues.
• Review VOQs and create dispositions based on engineering analysis.
• Process overseas and QISs within three working days.
• Maintain QIS PD and C/M applications after closure of QISs.
• Maintain data request systems and reporting for transparency.
• Handle sensitive information with confidentiality.
• Collaborate with design, engineering, and quality teams on investigations.

Skills

Data analytics

SQL

Excel

Data management

Attention to detail

Communication

Education

Bachelor's degree

Engineering background

Tools

SQL databases

Job description

Job Title: Data Engineer - Warranty and Market Quality Analytics

Job Description

This role focuses on reviewing and analyzing warranty claims and field quality data to support market quality and safety initiatives for new vehicle models. You will work within a small team of data engineers to handle ad-hoc data requests, validate technical complaints, and support ongoing root cause investigations across multiple vehicle systems. The position combines strong data analytics skills with an understanding of vehicle technology, warranty processes, and regulatory reporting requirements.

Responsibilities

• Review and disposition all warranty claims, customer contacts, and Field Quality Reports by applying engineering fundamentals and knowledge of vehicle technology.
• Analyze failure trends across different vehicle systems and validate the technical relevance of complaints using technical data and structured methodologies.
• Determine root causes for issues across vehicle systems by synthesizing multiple data sources and engineering insights.
• Use data such as OBD data, dealer repair methods, vehicle repair history, factory defect information, QICS and FIC records, vehicle feature configurations, and supplied parts sourcing to validate and disposition claims.
• Complete ad-hoc data requests from internal associates, ensuring timely, accurate, and well-documented responses.
• Conduct weekly audits of FS filters and AI classifications to ensure issues are not missed, leveraging engineering insights and vehicle technology knowledge.
• Conduct weekly reviews of NHTSA Vehicle Owner Questionnaires (VOQs) and create dispositions based on engineering analysis and reported incidents, including death, injury, and crash events.
• Process overseas and A-Rank QISs within three working days, using engineering fundamentals to identify potential overlap with existing investigations.
• Maintain the A-Rank QIS PD and C/M application upon closure of QISs, ensuring engineering and data accuracy.
• Maintain data request systems and related reporting to support transparency, traceability, and consistency of analytics outputs.
• Handle sensitive warranty and safety information with strict confidentiality and professionalism.
• Collaborate with design, engineering, and quality teams to support ongoing investigations and continuous improvement initiatives.

Essential Skills

• 2-8 years of relevant data analytics experience, or a minimum of 3 years in analytical or information analysis roles, depending on education level.
• Excellent attention to detail and accuracy when working with large and complex datasets.
• Proficiency in data management and reporting, including building and maintaining structured data processes.
• Advanced Excel skills for data analysis, reporting, and visualization.
• SQL skills for querying, transforming, and analyzing data from relational databases.
• Ability to work effectively under tight deadlines and manage multiple concurrent requests.
• Strong written and verbal communication skills to present findings and recommendations clearly to technical and non-technical stakeholders.
• Knowledge of warranty and safety claim processes and related workflows.
• Familiarity with NHTSA regulations, VOQ reporting, and safety-related data analysis.
• Ability to handle sensitive and confidential information with discretion.
• Strong organizational skills to manage priorities, documentation, and follow-up actions.
• Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Economics, Engineering, or a related field, or equivalent experience.

Additional Skills & Qualifications

• Bachelor’s degree in Computer Science or Data Analytics is highly valued.
• Degree in Mathematics, Economics, or Engineering with strong engineering aptitude is also suitable.
• Experience in data analysis, data management, and data analytics within technical or engineering environments.
• Experience with warranty analysis and warranty claims data.
• Experience working with vehicle or automotive-related datasets is beneficial.
• Exposure to SQL-based data environments and advanced spreadsheet modeling.
• Ability to collaborate within a cross-functional environment that includes design, engineering, and quality teams.
• Comfort working in a consulting or long-term contract-to-hire arrangement.

Job Type & Location

This is a Contract to Hire position based out of Raymond, OH.

Pay and Benefits

The pay range for this position is $33.00 - $37.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Raymond,OH.

Application Deadline

This position is anticipated to close on Sep 21, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [e-mail] for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.