GCP Data Engineer: Scalable Pipelines & Governance

Intone Networks Inc.; Phoenix, Northern (AZ, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Intone Networks Inc. seeks a GCP Data Engineer for a 6+ month contract in Phoenix, AZ. You will design scalable data solutions, implement governance, and ensure reliability across enterprise pipelines.

You will build ETL/ELT pipelines with Python and Spark, establish data quality rules, lineage, and access controls, and collaborate with stakeholders to enable observability and trust in data assets.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, or related field.
• Strong Python and Spark experience.
• Proven track record building reliable ETL/ELT pipelines in production.
• Hands-on data quality frameworks experience.
• Experience implementing data governance (cataloging, lineage, metadata, access controls).
• Familiarity with cloud data platforms such as AWS, Azure, or GCP.
• Strong understanding of data modeling and schema evolution.

Responsibilities

• Design and build scalable data pipelines using Spark and Python.
• Establish governance frameworks with data quality rules, lineage, and access controls.
• Implement data reliability practices with validation checks and alerts.
• Develop automated workflows with Airflow.
• Collaborate with stakeholders to define data contracts and standards.
• Enable end-to-end observability of pipelines and data freshness.
• Document data assets, lineage, and governance policies.
• Preferred: support ML pipelines with feature engineering and validation.

Skills

Python

Apache Spark

Data governance

ETL/ELT pipelines

Data quality frameworks

Metadata management

Access controls

Data modeling

Schema evolution

Observability

Education

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

Tools

Airflow

GCP

Job description

Intone Networks Inc. seeks a GCP Data Engineer for a 6+ month contract in Phoenix, AZ. You will design scalable data solutions, implement governance, and ensure reliability across enterprise pipelines.

You will build ETL/ELT pipelines with Python and Spark, establish data quality rules, lineage, and access controls, and collaborate with stakeholders to enable observability and trust in data assets.