Job DescriptionThe Pro360 team is tasked with creating a seamless, data-driven ecosystem for Ford Pro. In this role, you will be responsible for the end-to-end data lifecycle-from ingestion and transformation to visualization and executive presentation.
You will work within a modern tech stack centered on the Google Cloud Platform, utilizing your expertise in SQL and Python to build scalable pipelines. Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will manage infrastructure using Terraform and Tekton. Beyond the technical build, you will act as a consultant to the business, using Looker Studio and the Microsoft Office suite to present insights that influence strategic decisions at management level.
Responsibilities- Pipeline Orchestration: Design, develop, and maintain complex data pipelines using Astronomer and Airflow.
- Cloud Infrastructure: Deploy and manage services within Google Cloud Platform, including BigQuery, Dataflow, and Cloud Run.
- Infrastructure as Code (IaC): Use Terraform for environment provisioning and Tekton for CI/CD pipeline automation.
- Data Analysis & Modeling: Write advanced SQL queries and utilize Python to clean, transform, and analyze large-scale datasets.
- Visualization & Storytelling: Build intuitive dashboards in Looker Studio to track KPIs and provide visibility to stakeholders.
- Stakeholder Engagement: Communicate technical findings to non-technical audiences and collaborate with upper management to align data strategy with business goals.
- Software Best Practices: Utilize GitHub and VS Code for version control and collaborative development.
Qualifications- Master's Degree in Computer Science, Data Engineering, or a related quantitative field.
- 5+ years of professional Data Engineer experience
- Strong SQL skills: Ability to write complex queries, optimize performance, and manage databases via BigQuery & pgAdmin (PostgreSQL).
- Intermediate Python Coding: Proficiency in writing clean, maintainable code for data manipulation and automation.
- GCP Expertise: Hands-on experience with BigQuery, dataflow, and Cloud Run.
- Infrastructure Experience: Prior experience working with Terraform for infrastructure provisioning and Tekton for CI/CD.
- Orchestration: Experience with Apache Airflow or Astronomer.
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:• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary
This position is a salary grade
8.
This position is a salary grade
8 and ranges from
$115,000-$192,900.
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.
* Please note: This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be onsite 4 days per week **Visa Sponsorship is not provided for this role*#LI-Hybrid
#LI-GH2
