Ford

Full Stack Data Engineer

Ford

SQLPythonJavaGoogle Cloud PlatformBigQueryDataflowDataprocPostgreSQLMySQLTerraform

About the Role

The ideal candidate will have strong experience in data engineering, cloud technologies, and software development, with a passion for building reliable, scalable, and secure data solutions.
Required technical expertise includes:
  • 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.


Required

  • Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, Engineering, or a related field, or equivalent practical experience.
  • 5 to 7 years of experience in Data Engineering or Software Engineering.
  • Strong English Skills
  • Minimum 2 years of hands-on experience building and deploying cloud-based data platforms, preferably on Google Cloud Platform (GCP).
  • Strong proficiency in SQL and Python.
  • Experience with BigQuery, Dataflow, Dataproc, and cloud-based data processing technologies.
  • Experience with Terraform, CI/CD pipelines, and automation frameworks.
  • Knowledge of cloud security, data governance, and data quality best practices.

Preferred

  • Experience with DBT, Dataform, or similar transformation frameworks.
  • Experience with Apache Airflow or Astronomer.
  • Experience designing microservices and API-based integrations.
  • Exposure to FinOps practices and cloud cost optimization.

 

Ford of Mexico is committed to being an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, or disability status.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do, we encourage you to apply!

We thank all candidates for their interest, but only those selected for an interview will be contacted.

 

 

#LI-NG2

#FordMexico
 

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Job Details

Salary

Not disclosed

Location

Mexico

Job type

Full-time

Category

Data Engineering

Experience

5 to 7 years

Posted

Today

Job Highlights

  • 5 to 7 years level role
  • 100% Remote — open to candidates in Mexico
  • Full-time position

About Ford

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Remote Work Style

Mixed

Mix of flexible and scheduled meetings

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