Senior Data Engineer, Integrated Services Data Warehouse (ISDW)

Ford • Dearborn, MI

1d • $99,600 - $166,600 • Hybrid

About The Position

We are seeking an exceptional, highly experienced Senior Data Engineer to join our team. In this role, you will design, build, and scale our next-generation big data infrastructure on Google Cloud Platform (GCP) and integrate state-of-the-art Agentic AI systems. You will play a pivotal role in enabling real-time data streaming, advanced analytics, and automated decision-making pipelines that directly influence our global subscription and integrated services products. If you are passionate about high-performance computing, distributed architectures, and building intelligent agents that operate on massive datasets, we want to hear from you.

Requirements

• Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a closely related engineering field.
• 7+ years of hands-on experience in building, managing, and scaling enterprise-grade Big Data platforms and distributed data systems.
• 6+ years of strong, hands-on experience writing production-grade PySpark code, with deep knowledge of Spark optimization techniques, partition tuning, memory management, and debugging.
• 3+ years of experience architecting and implementing data solutions on GCP, with deep technical proficiency in: BigQuery: Advanced analytical SQL, partitioning, clustering, and performance optimization. Dataflow & DataProc: Managed Apache Beam pipelines and Spark/Hadoop clusters. Spanner: High-availability relational database workloads. Astronomer / Apache Airflow: Sophisticated DAG orchestration and workflow scheduling.
• Hands-on experience building and deploying Agentic AI solutions (e.g., autonomous AI agents, multi-agent orchestrations, tools integration with LLMs, prompt engineering frameworks, and cognitive search applications).
• Hands-on experience building, maintaining, and automating robust CI/CD pipelines (utilizing tools such as GitHub Actions, GitLab CI, Tekton, Jenkins, or equivalent) to deploy data models, code, and infrastructure.
• Practical familiarity with Integrated Services and Subscriptions platforms (such as subscription billing lifecycles, user entitlement systems, usage-based billing, and digital customer journeys).

Nice To Haves

• Master of Science (M.S.) in Computer Science, Data Engineering, or a highly quantitative field is a strong plus.
• GCP Professional Data Engineer Certification is a plus.
• GCP Professional Cloud Architect or equivalent Cloud Developer Certifications are a plus.
• Strong proficiency in modern programming languages (Python is required; Scala, Java, or Go is a plus).
• Experience with Infrastructure as Code (IaC) tools, particularly Terraform, for managing cloud infrastructure.
• Hands-on experience with containerization and orchestration platforms, including Docker and Kubernetes (GKE).
• Solid understanding of relational and NoSQL databases, data warehousing concepts, and data lakehouse architectures (e.g., Delta Lake, Iceberg).
• Excellent analytical, problem-solving, and debugging skills.
• Outstanding communication skills, with the ability to articulate complex technical architectures to both technical and non-technical stakeholders.

Responsibilities

• Architect, construct, and optimize highly scalable, reliable, and secure end-to-end data ingestion, processing, and distribution pipelines.
• Leverage PySpark and Google Cloud technologies to process terabyte-to-petabyte-scale datasets, ensuring optimal execution performance and cost-efficiency.
• Design, deploy, and maintain robust Agentic AI solutions (including LLM-based autonomous agents, retrieval-augmented generation (RAG) systems, vector database integrations, and automated tool-use pipelines) that run on top of enterprise data assets.
• Establish, maintain, and advocate for modern CI/CD practices across data engineering pipelines, ensuring automated testing, integration, and continuous deployment of data code and ML/AI models.
• Partner with product and platform teams to design data models supporting complex subscription metrics, recurring billing, customer entitlements, metered usage, and churn predictive analytics.
• Collaborate closely with Data Scientists, AI Researchers, Product Managers, and Software Engineers to align data architectures with strategic business objectives. Mentoring and guiding junior engineers in technical best practices.
• Champion enterprise-grade data security, regulatory compliance (e.g., GDPR, CCPA), and data quality monitoring across all platform components.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare 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.

What This Job Offers

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