Data Engineer

Ford Motor Company

. Develop analytical data products using streaming and batch ingestion patterns on Google Cloud Platform .

Posted 9/21/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $99,600 - $162,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing analytical data products and building scalable data pipelines on Google Cloud Platform, with a strong focus on data quality, governance, and performance optimization. Proficient in leveraging DevOps practices and tools to enhance data platform capabilities and support cross-functional collaboration.

Highest-signal resume keywords

Data EngineeringGoogle Cloud PlatformJavaTerraformCI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Product DevelopmentData Pipeline DevelopmentStreaming Data ProcessingBatch Data ProcessingSQLPythonSparkScalaApache KafkaREST APIs

Soft Skills

CollaborationMentoringProblem-SolvingCommunication

Tools & Technologies

TerraformSonarQubeAirflowDockerGitHubAtlassian JIRAGCP Pub/SubMicrosoft Azure Synapse AnalyticsAmazon RedshiftGoogle BigQuery

Industry Keywords

Data GovernanceData QualityAgile MethodologyMicroservices ArchitectureDevOps

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAzureBigQueryCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesMySQLPostgresPythonScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Develop analytical data products using streaming and batch ingestion patterns on Google Cloud Platform
Build data pipelines to monitor data quality and the performance of analytical models and agentic solutions
Maintain data platform infrastructure using Terraform and deliver code through CI/CD
Collaborate with data analytics stakeholders to streamline data acquisition, processing, and presentation
Implement an enterprise data governance model covering data protection, sharing, reuse, quality, and standards
Enhance and maintain DevOps capabilities of the data platform
Optimize data solutions for performance, security, vulnerability reduction, cost, and reliability
Work in an agile product team using TDD, continuous integration, and continuous deployment
Address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode
Perform data mapping and lineage activities and document information flows
Monitor production pipelines and provide production support according to SLAs
Analyze connected vehicle data to support new product development and production vehicle improvements
Provide visibility into data quality, vehicle, and feature issues and work with business owners to resolve them
Collaborate cross-functionally, translate technical work for stakeholders, and advocate for well-designed solutions
Mentor junior data engineering team members
Stay current with data engineering practices and contribute to the company’s technical direction

Requirements

What you’ll need

Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree)
4 years of professional experience in data engineering, data product development and software product launches
At least three of: Java, Python, Spark, Scala, SQL
3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines
Experience with data warehouses such as Amazon Redshift, Microsoft Azure Synapse Analytics, and Google BigQuery
Experience with workflow orchestration tools such as Airflow and Cloud Run
Experience with relational database management systems such as MySQL, PostgreSQL, and SQL Server
Experience with real-time data streaming platforms such as Apache Kafka and GCP Pub/Sub
Experience with microservices architecture
Experience with REST APIs for compute, storage, operations, and security
Experience with DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, and Docker
Experience with project management tools such as Atlassian JIRA
Comfort working in ambiguous environments where problems are not always well-defined
Candidates must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days
Paid parental leave
New parent ramp-up programs
Subsidized back-up child care
Adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time