Data Engineer

Role Overview

Join Ford Motor Company’s expanding Telematics and Observability area to build amazing data solutions that benefit customers. Work on building scalable data pipelines, maintaining infrastructure, and collaborating with stakeholders to streamline data acquisition and presentation.

What You Will Do

Develop analytical data products, build data pipelines, maintain infrastructure, and collaborate with stakeholders to deliver code frequently using Test Driven Development (TDD) and continuous integration and continuous deployment (CI/CD).

Why It Might Be a Fit

The ideal candidate will have technical knowledge and communication skills to advocate for well-designed solutions, stay current on the latest data engineering practices, and contribute to the technical direction of the company while keeping a customer-centric approach.

Requirements

• Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
• Build data pipelines to monitoring quality of data and performance of analytical models and agentic solutions.
• Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD.
• Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
• Implement an enterprise data governance model and actively promote the concept of data – protection, sharing, reuse, quality, and standards.
• Enhance and maintain the DevOps capabilities of the data platform.
• Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
• Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD).
• Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
• Perform any necessary data mapping, data lineage activities and document information flows.
• Monitor the production pipelines and provide production support by addressing production issues as per SLAs.
• Provide analysis of connected vehicle data to support new product developments and production vehicle improvements.
• Provide visibility to data quality/vehicle/feature issues and work with the business owners to fix the issues.
• Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
• Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models/solutions developed by data scientists and AI engineers.
• Stay current on the latest data engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.
• Work cross-functionally and have excellent technical interpretation skills to translate technical work to a variety of stakeholders.
• Mentor more junior members of a data engineering team.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Retirement plan
• Paid holidays
• Vacation time
• Flexible work arrangements
• Professional development opportunities