Hiring: Full Stack Data Engineer Company: HTC Global Services Location: Dearborn, MI Job Posted Time: 2026-09-15 12:34:09 Employment Type: Hybrid Target Skills & Keywords : BigQuery, CI/CD, Cloud Run, Data Pipeline, Encryption, GCP, IaC, Infrastructure as Code, Java, Microservices, MySQL, PostgreSQL, Pub/Sub, Python, SOA, SQL, Tekton, Terraform About the job Experience: •7+ years of Data Engineering work experience. •7 years of experience in Data Engineering or Software Engineering. •2 years of hands-on experience building and deploying cloud-based data platforms, with GCP preferred. •At least 2 years of hands-on experience building and deploying cloud-based data platforms, with GCP preferred. Required Skills: •We are seeking a skilled Full Stack Data Engineer to support the development and maintenance of an Enterprise Data Platform. This role will focus on designing, building, and optimizing scalable data pipelines within a Google Cloud Platform (GCP) environment. •The position will work with GCP-native technologies including BigQuery, Dataflow, and Pub/Sub while supporting data governance, security, and performance optimization. The role also involves collaborating with teams and establishing data engineering best practices. •Design, build, and optimize scalable data pipelines within a GCP environment. •Develop and deploy cloud-based data platforms and data pipelines using GCP services such as BigQuery, Dataflow, and DataProc. •Interface directly with GCP-native technologies including BigQuery, Dataflow, and Pub/Sub. •Support data governance, security, and optimal performance within the data platform. •Interface directly with relational databases such as PostgreSQL and MySQL, NoSQL databases, and columnar databases such as BigQuery. •Interface directly with CI/CD pipelines, Infrastructure as Code (IaC) tools such as Terraform and Tekton, and other automation frameworks. Qualifications: •Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, or a related field, or an equivalent combination of education and experience. •5–7 years of experience in Data Engineering or Software Engineering. •Strong proficiency in SQL, Java, and Python. •Practical experience designing and deploying cloud-based data pipelines using GCP services such as BigQuery, Dataflow, and DataProc. •Understanding of Service-Oriented Architecture (SOA) and microservices and their application within a cloud data platform. •Knowledge of data governance frameworks, data encryption, and data masking techniques in cloud environments. •Operational familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools such as Terraform and Tekton, and other automation frameworks. •Excellent analytical and problem-solving skills. •Passion for data, innovation, and continuous learning. •Demonstrated capacity to work onsite four days per week in a hybrid work environment. Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!