Full Stack Data Engineer

Ford Motor Company

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

Posted 9/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $128,003 - $174,548 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data ingestion and curation pipelines, utilizing Python, SQL, and GCP technologies. Proficient in implementing data governance policies and optimizing data quality for analytical use.

Highest-signal resume keywords

Data Pipeline DevelopmentGCP Data Platforms ManagementReal-Time Streaming EngineeringData Governance ImplementationData Engineering Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLDBT/DataformKafkaOpenShiftBigQueryApache BeamSpring BootAirflowPostgreSQL

Soft Skills

CollaborationCommunication

Tools & Technologies

GCPDataflowPub/SubCloud FunctionsTerraformAstronomer

Industry Keywords

Data IngestionData CurationData QualityData GovernanceCloud Infrastructure

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudGoogle Cloud PlatformJavaKafkaOpenShiftPostgresPythonSpringSpring BootSpringBootSQLTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data ingestion and curation pipelines from diverse sources
Standardize data and ensure it is high-quality and optimized 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 GCP security best practices
Use Astronomer and Terraform for workflow management and cloud infrastructure provisioning
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
Automate data platform processes to improve reliability and data quality
Communicate technical decisions to technical and non-technical stakeholders
Identify opportunities to improve the data platform using industry trends and emerging technologies
Translate business requirements into optimized data asset designs and efficient code
Develop comprehensive data engineering documentation and promote knowledge sharing

Requirements

What you’ll need

Bachelor’s degree or foreign equivalent in Computer Engineering, Electrical Engineering, Information Technology, Electronic Engineering or a related field
4 years of experience in the job offered or a related occupation
2 years of experience engineering real-time streaming pipelines using Kafka, OpenShift, and Dataflow
2 years of experience leveraging Java and Spring Boot to stream, decode, and ingest connected vehicle data
2 years of experience architecting database solutions using Spanner, PostgreSQL, and BigQuery
2 years of experience directing end-to-end GCP cloud data projects using Apache Beam, Spring Boot, Airflow, BigQuery, Cloud Storage, and Cloud Build
2 years of experience developing scalable, high-volume connected vehicle data streaming platforms with OpenShift and Spring Boot
Candidates must be legally authorized to work in the United States

Benefits

Comp & perks

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time