Full Stack Data Engineer

Ford • Dearborn, MI

10h • $99,600 - $192,900 • Hybrid

About The Position

As a Data Engineer, you will design and scale robust batch and streaming data pipelines on the Google Cloud Platform (GCP). You will build exceptional analytical data products rooted in solid data warehousing principles. Working in an agile, customer-centric environment, you will champion modern software engineering practices. You will manage and scale our platform’s infrastructure using Terraform (Infrastructure as Code) and continuously deliver high-quality code through robust CI/CD pipelines. As collaboration is key, you will partner closely with analytics stakeholders to streamline how data is acquired, processed, and presented. Security and quality are built into everything we do. You will proactively monitor data quality, document data lineage, and address code vulnerabilities using modern DevSecOps tools. Additionally, you will optimize our existing data solutions to ensure they are highly secure, reliable, cost-effective, and performing at their peak, while providing critical production support to keep our pipelines running smoothly.

Requirements

• 3+ years of strong hands-on experience building and deploying data solutions on Google Cloud Platform (GCP).
• Proven experience designing and maintaining both batch and streaming data ingestion pipelines at scale.
• Proficiency in managing infrastructure using Terraform.
• 2+ years of solid experience with continuous integration and continuous deployment (CI/CD) methodologies and enhancing DevOps capabilities.
• Deep understanding of data warehousing principles, data mapping, data lineage, and enterprise data governance standards.
• Experience working in an Agile/Scrum environment utilizing Test-Driven Development (TDD).
• Familiarity with code quality and vulnerability scanning tools such as SonarQube, Checkmarx, Fossa, and/or Cycode.
• Excellent communication and interpersonal skills, with a proven ability to collaborate with business stakeholders and advocate for well-designed technical solutions.
• A customer-centric approach to engineering with strong analytical, troubleshooting, and optimization skills.
• Bachelor’s or foreign equivalent degree in computer science, information technology or a technology related field.

Responsibilities

• Design, build, and scale robust batch and streaming data pipelines on Google Cloud Platform (GCP) to process large volumes of finance data.
• Develop exceptional analytical data products applying solid data warehouse principles, data modeling, and best practices.
• Maintain and enhance the platform's infrastructure using Terraform (Infrastructure as Code) and continuously develop, evaluate, and deploy code using CI/CD pipelines.
• Partner closely with data analytics stakeholders to streamline and optimize data acquisition, processing, and presentation workflows.
• Implement and promote enterprise data governance models focusing on data protection, sharing, reuse, standards, quality monitoring, and data lineage documentation.
• Write clean, reliable code using Test-Driven Development (TDD) in an agile environment, actively addressing security vulnerabilities and code quality issues using tools like SonarQube, Checkmarx, Fossa, and Cycode.
• Continuously optimize existing data solutions (pipelines, infrastructure, and products) to ensure high performance, security, reliability, low vulnerability, and cost efficiency.
• Monitor production pipelines and provide timely production support to resolve issues in accordance with established SLAs.
• Stay current on modern data engineering practices, contribute to the company's technical direction, and proactively build domain expertise in finance data.

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