Full Stack Data Engineer

Ford Motor Company

. Design, develop, and maintain scalable data ingestion and curation pipelines from diverse sources .

Posted 9/24/2026full-timeDearborn • Michigan • United StatesMid-LevelSenior💰 $115,000 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing scalable data ingestion and curation pipelines using Python, SQL, and GCP tools like BigQuery and Dataflow. Strong understanding of data governance, cloud security best practices, and the ability to translate business requirements into optimized data solutions.

Highest-signal resume keywords

Data EngineeringCloud-Based Data PlatformsSQL ProficiencyGCP Tools (BigQuery, Dataflow)Data Governance Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLJavaData IngestionData CurationData Pipeline DevelopmentData GovernanceCloud SecurityService-Oriented ArchitectureMicroservices

Soft Skills

Analytical SkillsProblem-SolvingCommunication

Tools & Technologies

GCPBigQueryDataflowPub/SubCloud FunctionsTerraformAstronomerCI/CD PipelinesDataProcTekton

Industry Keywords

Data AnalyticsData EngineeringCloud EnvironmentsRelational DatabasesNoSQL DatabasesData EncryptionData MaskingCost OptimizationResource UtilizationContinuous Learning

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformJavaMicroservicesMySQLNoSQLPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data ingestion and curation pipelines from diverse sources
Standardize, improve the quality of, and optimize data for analytical use
Build robust data pipelines using Python, SQL, and DBT/Dataform
Contribute to seamless end-to-end development and reliable data flow from source to insight
Build and manage GCP data platforms using BigQuery, Dataflow, Pub/Sub, and Cloud Functions
Implement data governance policies, access controls, and cloud security best practices
Manage data workflows and cloud infrastructure using Astronomer and Terraform
Monitor and improve pipeline and storage performance, scalability, efficiency, resource utilization, and cost-effectiveness
Collaborate with data architects, application architects, service owners, and cross-functional teams on best practices, design patterns, and frameworks
Automate data platform processes to improve reliability, data quality, and operational efficiency
Communicate complex technical decisions to technical and non-technical stakeholders
Translate business requirements into optimized data asset designs and efficient code
Document data engineering processes and promote knowledge sharing
Continuously evaluate industry trends and emerging technologies to improve the data platform

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience)
5-7 years of experience in Data Engineering or Software Engineering
At least 2 years of hands-on experience building and deploying cloud-based data platforms (GCP preferred)
Strong proficiency in SQL, Java, and Python
Practical experience designing and deploying cloud-based data pipelines using BigQuery, Dataflow, and DataProc
Solid understanding of Service-Oriented Architecture (SOA) and microservices
Experience with relational databases such as PostgreSQL and MySQL, NoSQL databases, and columnar databases such as BigQuery
Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments
Familiarity with CI/CD pipelines, Infrastructure as Code tools such as Terraform and Tekton, and other automation frameworks
Excellent analytical and problem-solving skills
Experience monitoring and optimizing cost and compute resources in BigQuery, Dataflow, Cloud Run, and DataProc
Candidates must be legally authorized to work in the United States
Passion for data, innovation, and continuous learning

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 childcare
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
Visa sponsorship available
Salary grade 8 compensation range of $115,000-$192,900