Data Engineer

Mexico City, MEX, Mexico

Applications have closed

Ford Motor Company

Since 1903, we have helped to build a better world for the people and communities that we serve. Welcome to Ford Motor Company.

View all jobs at Ford Motor Company

In this position...

You will work on ingesting, transforming, and analyzing datasets to support the Dataflow on Google Cloud Platform (GCP).

  • You will also work with cutting edge cloud-native technologies including Google Cloud Platform (GCP), Spring Boot, React, Cloud SQL and our enterprise dealership platforms. 
  • Instrument, measure and monitor application performance using cloud native toolsets (Grafana, Splunk, GCP native tools and more)
  • Troubleshoot and debug to optimize performance and stability.
  • You will be able to get hands on exposure to working directly with a transformation process.

What you'll do...

  • Work in collaborative environment that leverages paired programming.
  • Work on a small agile team to deliver Dataflow which will create data pipelines to transform the data.
  • Develop Datamodel and Database designs to support various features 
  • Develop and enhance back-end APIs and services, primarily using Java/Spring Boot
  • Integrate and work with best-in-class analysis tools to improve code security and quality.
  • Integrate with third party internal and external libraries and APIs as needed to deliver business functionality.
  • Work effectively with fellow data engineers, product owners, data champions, business team and other stakeholders
  • Develop various features to work on web application. 
  • Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
  • Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions

You'll have...

  • 5+ years of SQL development experience
  • 5+ years of data product development experience required
  • 3+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale
  • Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage,  Dataflow,  Cloud Build, etc.
  • Experience working with Terraform to provision Infrastructure as Code
  • 3 + years professional development experience in Java
  • Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Implement methods for automation of all parts of the pipeline to minimize labor in development and production
  • Experience in working with architects to evaluate and productionalize data pipelines 
  • Experience in working with stakeholders to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management
  • Bachelor’s degree in computer science or related scientific field

Even better, you may have...

  • Strong drive for results and ability to multi-task and work independently
  • Self-starter with proven innovation skills
  • Ability to communicate and work with cross-functional teams and all levels of management
  • Demonstrated commitment to quality and project timing
  • Demonstrated ability to document complex systems
  • Experience in creating and executing detailed test plans
  • In-depth understanding of Google’s product technology (or other cloud platform) and underlying architectures
  • Experience with development eco-system such as Tekton, Git, Jenkins for CI/CD pipelines
  • Experience with performance tuning SQL queries
  • GCP Professional Data Engineer Certified
  • Bachelor’s degree in computer science or related field
  • 2+ years in GraphQL
  • 2+ years mentoring engineers
  • 1+ years in React , JavaScript experience 
  • In-depth software engineering knowledge


Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  0  0
Category: Engineering Jobs

Tags: Agile APIs Architecture BigQuery CI/CD Computer Science Dataflow Data pipelines Engineering GCP Git Google Cloud Grafana GraphQL Java JavaScript Jenkins Pipelines React Security Splunk SQL Terraform

Region: North America
Country: Mexico

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.