Sr. Data Engineer

The Global Data Insight & Analytics organization is looking for a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) and a proven track record of designing and implementing complex ETL processes to build robust, scalable, and efficient data pipelines . In this role, you will be part of a dynamic, cross-functional team, collaborating closely and consistently with other engineers, business partners, product managers, and designers. You will be involved in frequent and iterative releases.  Your focus will be on shaping our data architecture, enabling advanced analytics, and supporting the integration of AI/ML and LLM capabilities.

Key Responsibilities:

• Design, develop, and maintain highly scalable and reliable ETL pipelines to ingest, transform, and load large datasets from various sources into our data ecosystem.
• Build and optimize data models in BigQuery for analytical and operational use cases, ensuring data quality, consistency, and accessibility.
• Leverage GCP services, including Dataproc, for distributed data processing using PySpark.
• Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into technical solutions.
• Implement data governance, security, and compliance best practices within the data platform.
• Monitor, troubleshoot, and optimize data pipeline performance and reliability.
• Mentor junior engineers and contribute to the continuous improvement of our data engineering practices and standards.
• Stay abreast of emerging technologies and industry trends, particularly in big data, cloud computing, AI/ML, and LLMs, and recommend their adoption where appropriate.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Business Administration or a related quantitative field.
• 5+ years of experience in data engineering, with a strong focus on building and managing large-scale data platforms.
• 3+ Years of experience with Google Cloud Platform (GCP) data services (e.g., BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Functions).
• Demonstrable experience in designing, developing, and optimizing complex ETL processes.
• Extensive hands-on experience with BigQuery for data warehousing, modeling, and query optimization.
• Strong programming skills in Python, with significant experience in PySpark for data manipulation and processing on distributed frameworks like Dataproc.
• Solid understanding of data warehousing concepts, dimensional modeling, and SQL.
• Experience with version control systems (e.g., Git) and CI/CD practices.
• Experience working in a product-driven organization, contributing to data solutions that directly support product development and user needs.

Preferred Qualifications & Experience:

• Hands-on experience with AI/ML workflows, including data preparation for model training, feature engineering, and deploying ML pipelines.
• Familiarity with Large Language Models (LLM) usage, including data considerations for fine-tuning, prompt engineering, or integrating LLM APIs into data applications.
• Experience with other GCP services like Cloud Composer (Apache Airflow), Data Catalog, or Looker.
• Knowledge of streaming data technologies (e.g., Kafka, Pub/Sub).
• Experience with Infrastructure as Code (e.g., Terraform).

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 role is on-site located in Dearborn, MI, which you will be required to commute on site 4x a week.   *Visa Sponsorship is NOT provided for this specific role* *Relocation assistance IS NOT provided for this specific role*   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 committed to a culturally diverse workforce. 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.   #LI-On-Site #LI-DS2