채용
필수 스킬
Python
Java
SQL
AWS
GCP
Azure
Scala
Machine Learning
The Diagnostics& Data Systems Engineer will play a pivotal role in shaping the future of vehicle diagnostics by leading the development of diagnostic requirements, integration of foundational documents into GCP. This position focuses on leveraging advanced data engineering principles and emerging technologies, including AI, to enhance diagnostic capabilities, optimize data workflows, and support the development of AI assisted tools, ultimately ensuring vehicle quality and customer satisfaction.
You will have…
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Bachelor’s degree in Electrical, Computer, Software Engineering, Data Science, or a related field.
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3+ years of experience in automotive diagnostics, vehicle systems engineering, or data engineering roles.
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3+ years of experience with data analysis, data validation, and developing complex SQL queries.
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2+ years of experience with programming/scripting languages (e.g. Python, Scala, Java) for data manipulation and automation.
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Proven experience in data integration and working with multiple data sources/repositories.
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Excellent analytical, problem-solving, and troubleshooting skills.
Even better, you may have...
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Master’s degree in relevant engineering or data science discipline.
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Experience with cloud-based data platforms (e.g., Google Cloud Platform, Big Query, AWS, Azure) and building data lakes.
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Familiarity with in-vehicle communication protocols (e.g., CAN, LIN, Ethernet, UDS, OBD-II).
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Experience with AI/Machine Learning concepts and model development, especially in a diagnostic context.
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Experience with Agile methodologies and acting as a Scrum Master.
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Knowledge of vehicle diagnostic requirements and troubleshooting guides.
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Experience working with external vendors for data solutions.
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Strong communication and collaboration skills to work effectively with diverse engineering and IT teams.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
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Immediate medical, dental, vision and prescription drug coverage
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Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
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Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
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Vehicle discount program for employees and family members and management leases
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Tuition assistance
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Established and active employee resource groups
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Paid time off for individual and team community service
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A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
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Paid time off and the option to purchase additional vacation time.
This position is a range of salary grades 6-8 and ranges from $83,280-190,500.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
What you'll do...
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Define and establish Diagnostic Common data requirements based on analysis of field issues.
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Conduct thorough Diagnostic Gap Analysis across vehicle features, Electronic Control Units (ECUs), and components.
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Drive innovation by developing Proof-of-Concepts (POCs) for Large Language Models (LLMs) to enhance process efficiency within the Diagnostics team.
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Serve as an Agile Scrum Master for the team on a rotational or set cadence, fostering agile practices and continuous improvement.
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Support cross-functional teams in developing utilities and applications on the department's AI tool.
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Lead comprehensive investigations into vehicle data sources, collaborating with engineering teams to understand data storage and identifying high-value data points essential for various use cases.
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Guide our working partners in standardizing and normalizing diverse datasets and leading all data validation efforts post-normalization to ensure data integrity and quality.
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Design and implement workflows that empower system engineering and AI teams to effectively utilize diagnostic data for building predictive models.
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Develop precise SQL queries to extract and structure Big Query table views tailored for specific diagnostic use cases.
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1
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0
모의 지원자 수
0
스크랩
0
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Ford 소개

Ford
PublicThe Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.
10,001+
직원 수
Dearborn
본사 위치
$48B
기업 가치
리뷰
3.4
10개 리뷰
워라밸
2.8
보상
3.7
문화
2.5
커리어
2.9
경영진
2.3
45%
친구에게 추천
장점
Good pay and benefits
Decent work-life balance options
Learning and advancement opportunities
단점
Poor management and favoritism
Mandatory overtime and exhausting schedules
Limited growth opportunities
연봉 정보
36개 데이터
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1개 리포트
$132,847
총 연봉
기본급
$102,190
주식
-
보너스
-
$132,847
$132,847
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
40%
경험
긍정 40%
보통 40%
부정 20%
면접 과정
1
Phone Screen
2
Technical Interview
3
Behavioral Interview
4
Final Round Interview
자주 나오는 질문
Behavioral
Technical
Assessment
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