Full Stack Data Engineer

Ford Motor Company • Dearborn, MI

2h • $128,003 - $174,548 • Remote

About The Position

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Engineering, Electrical Engineering, Information Technology, Electronic Engineering or a related field and 4 years of experience in the job offered or a related occupation.
• 2 years of experience with engineering real-time streaming pipelines using Kafka, OpenShift, and Dataflow to ingest high-speed telematics bursts from connected vehicle networks, ensuring seamless reliability for time-sensitive alerts and low-latency decision-making.
• 2 years of experience leveraging Java and Spring Boot frameworks to stream, decode and ingest connected vehicle data, enabling ultra-fast throughput processing and near real-time availability.
• 2 years of experience architecting robust database solutions using Spanner, PostgreSQL, and BigQuery to provide scalable, high-availability storage, advanced querying, and analytics capabilities for large-scale datasets.
• 2 years of experience directing end-to-end GCP cloud data projects, leveraging Apache Beam, Spring Boot, Airflow, BigQuery, Cloud Storage, and Cloud Build to orchestrate streamlined pipelines to data ingestion, transformation, and automated deployments.
• 2 years of experience developing scalable, high-volume Connected vehicle data streaming platforms with OpenShift and Spring Boot frameworks, implementing resilient data handling, fault-tolerant mechanisms, and performance optimizations under heavy computational loads.

Responsibilities

• Spearhead the design, development, and maintenance of scalable data ingestion and curation pipelines from diverse sources. Ensure data is standardized, high-quality, and optimized for analytical use. Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Data form, to build robust and efficient data pipelines.
• Utilize your full-stack skills to contribute to seamless end-to-end development, ensuring smooth and reliable data flow from source to insight.
• Leverage your deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that not only meet but exceed business needs and expectations.
• Implement and manage robust data governance policies, access controls, and security best practices, fully utilizing GCP's native security features to protect sensitive data.
• Employ Astronomer and Terraform for efficient data workflow management and cloud infrastructure provisioning, championing best practices in Infrastructure as a Code (IaaC).
• Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions, ensuring optimal resource utilization and cost-effectiveness.
• Collaborate effectively with data architects, application architects, service owners, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
• Proactively automate data platform processes to enhance reliability, improve data quality, minimize manual intervention, and drive operational efficiency.
• Clearly and transparently communicate complex technical decisions to both technical and non-technical stakeholders, fostering understanding and alignment.
• Stay ahead of the curve by continuously learning about industry trends and emerging technologies, proactively identifying opportunities to improve our data platform and enhance our capabilities.
• Translate complex business requirements into optimized data asset designs and efficient code, ensuring that our data solutions directly contribute to business goals.
• Develop comprehensive documentation for data engineering processes, promoting knowledge sharing, facilitating collaboration, and ensuring long-term system maintainability.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level