Full Stack Data Engineer

Ford • Dearborn, MI

21h • $138,486 - $178,099 • Hybrid

About The Position

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

Requirements

• Bachelor’s degree or foreign equivalent in Information Systems, Data Analytics, Information Technology, Computer Science or a related field and 5 years of progressive, post-baccalaureate experience in the job offered or a related occupation.
• 5 years of experience with working with manufacturing and supply chain processes, including order to part reconciliation and vehicle to feature mapping.
• 3 years of experience leading software and data engineering projects using Rally or JIRA to manage capacity and prioritization of work for cost benefit monitoring/tracking against business objectives.
• 3 years of experience designing and implementing in Big Data Environments with expertise in Big Data tools including Python, SQL, DataForm, DataFusion, Alteryx, Qlik Sense, Qlik Replicate, Tekton, and Terraform.
• 2 years of experience designing and implementing in Google Cloud Platform to support data scientists’ use for analytics and artificial intelligence consumption.
• 2 years of experience monitoring and optimizing cost and compute for processes in GCP technologies including BigQuery, Dataflow, Cloud Run, Dataproc, Pub/Sub, and Astronomer.

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/Dataform, 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 Code (IaC).
• 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: Senior