Data Engineer Job Dearborn area,Michigan USA,IT/Tech

Dearborn, Michigan Data Engineer #1065243

Position Description

We're seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of our Enterprise Data Platform. In this role, you'll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. You'll work with GCP Native technologies like Big Query, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance.

This is a fantastic opportunity to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering loyees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately

Key Responsibilities

Collaborate with business and technology stakeholders to understand current and future data requirements
Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
Ensure optimum performance and identify improvement opportunities

Skills Required

Data/Analytics dashboards

Skills Preferred

Experience Required

Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field (or equivalent combination of education and experience
5-7 years of experience in Data Engineering or Software Engineering, with at least 2 years of hands‑on experience building and deploying cloud‑based data platforms (GCP preferred).
Strong proficiency in SQL, Java, and Python, with practical experience in designing and deploying cloud‑based data pipelines using GCP services like Big Query, Dataflow, and Data Proc.
Solid understanding of Service‑Oriented Architecture (SOA) and microservices, and their application within a cloud data platform.
Experience with relational databases (e.g., PostgreSQL, MySQL), No

SQL databases, and columnar databases (e.g., Big Query). Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments.
Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
Excellent analytical and problem‑solving skills, with the ability to troubleshoot complex data platform and microservices issues.
Experience in monitoring and optimizing cost and compute resources for processes in GCP technologies (e.g., Big Query, Dataflow, Cloud Run, Data Proc).
A passion for data, innovation, and continuous learning.

Education Required

Bachelor's Degree Hybrid Position 4 days a week onsite

Education Preferred

Master's Degree

Additional Information

Data Pipeline Architect & Builder:
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.
End‑to‑End Integration Expert:
Utilize your full‑stack skills to contribute to seamless end‑to‑end development, ensuring…