Full Stack Data Engineer

Location: Mexico; Remote

• Strong proficiency in SQL, Python, and Java.
• Hands-on experience designing, developing, and deploying cloud-based data pipelines using Google Cloud Platform (GCP), including BigQuery, Dataflow, and Dataproc.
• Experience with relational databases such as PostgreSQL and MySQL, as well as NoSQL and columnar databases.
• Understanding of Service-Oriented Architecture (SOA) and microservices-based solutions.
• Knowledge of data governance, security controls, encryption, and data masking techniques.
• Experience implementing CI/CD pipelines and Infrastructure as Code (IaC) using tools such as Terraform and Tekton.
• Ability to monitor, troubleshoot, and optimize cloud workloads for performance, scalability, and cost efficiency.
• Strong analytical, problem-solving, and communication skills.

About Us

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

About the Organization

We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves.Ford is seeking a Senior Full Stack Data Engineer to design, build, and optimize scalable cloud-based data platforms and pipelines on Google Cloud Platform (GCP). This role combines data engineering, cloud architecture, automation, and operational support to enable high-quality data products that drive business insights and decision-making. The successful candidate will collaborate with cross-functional teams and apply modern engineering practices, including Agile development, CI/CD, automated testing, and Infrastructure as Code (IaC).