GCP Data Engineer

We are seeking a GCP Data Engineer for a contract position in Phoenix, Arizona, with a duration of 6 months or longer. In this role, you will design and implement scalable data solutions, establish governance frameworks, and ensure data reliability across enterprise pipelines.

Responsibilities

• Design and build scalable, fault-tolerant data pipelines using Apache Spark and Python
• Establish and enforce data governance frameworks, including data quality rules, lineage, cataloging, and access controls
• Implement data reliability practices such as validation checks, anomaly detection, SLAs/SLOs, and automated alerting
• Develop and maintain automated data workflows using orchestration tools such as Airflow
• Partner with stakeholders to define data contracts, schemas, and standards across domains
• Enable end-to-end observability of data pipelines, including freshness, completeness, and accuracy
• Document data assets, lineage, and governance policies to improve discoverability and trust
• Preferred: Support machine learning pipelines, including feature engineering, training data validation, and monitoring model input/output data quality

Qualifications

• Required:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field

• Strong programming skills in Python and experience with Apache Spark

• Proven experience building reliable ETL/ELT pipelines in production environments

• Hands-on experience with data quality frameworks

• Experience implementing data governance principles including cataloging, lineage, metadata management, and access control

• Familiarity with cloud data platforms such as AWS, Azure, or GCP

• Strong understanding of data modeling, schema evolution, and data lifecycle management

• Preferred:

• Experience supporting ML pipelines with a focus on data validation and feature stores