GCP Data Engineer

Intone Inc; Phoenix (AZ); On-site; USD 96,000 - 152,000; Full time

Job summary

Intone Inc is seeking a GCP Data Engineer for a contract position in Phoenix, Arizona. You will design scalable data solutions, implement governance, and ensure data reliability across enterprise pipelines.

Responsibilities include building scalable pipelines with Spark and Python, establishing data quality rules, deploying Airflow workflows, and collaborating with stakeholders to define contracts and schemas, with an eye toward ML data readiness.

Qualifications

• 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.

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.

Skills

Python programming

Data governance

ETL/ELT pipelines

Education

Bachelor's or Master’s degree in CS/Engineering

Tools

Apache Spark

Airflow

AWS

Azure

GCP

Job description

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