Connected Vehicle Data Engineer at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Connected Vehicle Data, Debugging, Root Cause Analysis, Data Collection, BQ SQL, Python, Alteryx, Statistical Analysis, Predictive Modeling, Calibration Tools, Agile, Git, CI/CD, Collaboration, Communication

Industry

Motor Vehicle Manufacturing

Description

Establish strong working relationship with key stake stakeholders in Product development to ensure that plans and requirements are fully understood, and issues are resolved effectively and efficiently Debug, root cause, and resolve propulsion systems quality issues with cross functional teams leveraging connected vehicle data and enterprise tool sets Foster and leverage connected vehicle data collection for solving engineering problems and characterizing customer usage Proficient in BQ SQL and similar tools to query, analyze and interpret big data in propulsion systems domain Develop and Own data pipelines/workflows using Python, Alteryx, and similar tools Coordinate with vehicle software teams to create new connected vehicle data elements as needed and support validation of new data elements Perform a statistical analysis, predictive modeling and/or pattern recognitions, for the engineering team's understanding of the data Be proficient in in-vehicle calibration tools (ATI / ETAS) to collect high frequency data to validate connected data on key propulsion features & subsystems Summarize & Present complex data sets in a simplified fashion to technical and non-technical audiences Established and active employee resource groups Bachelors Degree in Engineering, Data Science/Analytics, Computer Science, or related field 3+ year of analytical, querying & programming experience - SQL, Python, Spark and similar tools 2+ years of experience in automotive industry - Product development and/or Quality Masters Degree in Engineering, Data Science/Analytics or similar field 2+ years of experience in Connectivity eco-system delivering projects from concept to production. Google cloud professional cloud architect or Professional data engineer certification 5+ years of propulsion systems experience with strong understanding of delivering calibration processes. Experience with Agile, Git, CI/CD release pipeline is a plus Ability to write sophisticated SQL queries to extract and transform big data. Ability to take complex problems and break them down to build and implement an action plan and prioritize tasks Ability to condense and visualize large data sets to enable inference and decision making by customers and stakeholders. Strong team-player with proven experience and a willingness to take ownership of a topic and successfully bring it to completion. Strong collaboration and communication skils, ability to engage with upper management as well as peers.

Responsibilities

Establish strong working relationships with key stakeholders in product development to ensure plans and requirements are understood. Debug and resolve propulsion systems quality issues using connected vehicle data and collaborate with cross-functional teams.