Ford Pro · 21 hours ago
Data Engineer- Full Stack
Ford Pro is a global company seeking a Senior Data Engineer to architect and scale end-to-end data pipelines on GCP. The role involves transforming complex telemetry and enterprise data into analytics-ready assets, implementing data governance and security controls, and mentoring junior talent.
SoftwareAutomotiveLogisticsFleet Management
Responsibilities
Design and implement end-to-end data pipelines (ETL/ELT) that ingest, process, and curate large-scale enterprise data, including telemetry/vehicle data and other structured/unstructured sources
Migrate and modernize data assets to a centralized data platform (e.g., BigQuery) using principled data lake/warehouse architectures (Bronze/Silver/Gold or Medallion architecture) to power analytics and reporting
Architect scalable data models and data warehouses, optimizing for query performance, maintainability, and cost efficiency
Develop and operate robust orchestration pipelines using Airflow/Astronomer or Schedule Query, with secure, reproducible CI/CD workflows (Terraform + Git)
Build and maintain reliable data quality checks, lineage, and monitoring with observability tools (e.g., Splunk, Looker/Grafana/Tableau/Power BI dashboards) to rapidly detect and resolve data issues
Implement data governance, security, and compliance controls (data lineage, access controls, PII/PHI protection) in collaboration with security and privacy teams
Lead the design and delivery of analytics-ready data assets for cross-functional teams, including dashboards, alerts, and self-service analytics
Mentor and coach junior engineers, review code, and drive best practices in data engineering, testing, and documentation
Collaborate with data scientists, product managers, and business stakeholders to translate requirements into scalable data solutions and timely insights
Monitor cost and capacity planning for cloud resources; optimize storage and compute usage across GCP services (BigQuery, Dataflow, Dataproc, GCS)
Participate in on-call rotations and incident response to maintain high availability of data services
Qualification
Required
Master's Degree in Computer Science
7+ years of experience in data engineering, data platforms, or a similar role
4+ years of hands-on experience with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Dataproc; Schedule Query or equivalent scheduling/orchestration) or AWS
4+ years experience in Python and SQL; strong experience with PySpark is a plus
4+ years experience with ETL/ELT design, data modeling, data warehousing, and data governance
Preferred
Practical experience building and operating data pipelines with orchestration tools (Airflow/Astronomer; Schedule Query)
Experience with infrastructure-as-code and CI/CD (Terraform, Git, and related tooling)
Demonstrated ability to design and implement analytics-ready data assets and dashboards; familiarity with BI tools (Looker, Tableau, Power BI, Grafana) for monitoring and reporting
Strong communication skills and ability to work effectively with cross-functional teams (engineering, analytics, product, security)
Benefits
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 and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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.
Company
Ford Pro
Ford Pro is a productivity accelerator designed to drive the business forward, delivering solutions to commercial customers of all sizes.
Funding
Current Stage
Late StageRecent News
2025-10-04
2025-10-01
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