Senior GCP Data Engineer: Pipelines, BigQuery & DataOps

Voto Consulting LLC; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Voto Consulting LLC is seeking a senior data engineer to design, build and maintain scalable data pipelines on Google Cloud Platform. You will develop ETL/ELT processes, optimize BigQuery data warehousing, and manage data ingestion from streaming sources like Pub/Sub and batch storage.

Collaboration with analysts, scientists, and product teams is essential. The role emphasizes strong SQL, Python/Java/Scala, and IaC skills (Terraform/Deployment Manager).

Qualifications

• 6-10 years of data engineering experience with hands-on GCP.
• Core GCP tools include BigQuery, Dataflow, Composer, Cloud Storage, Pub/Sub, Dataproc.
• Programming in Python and/or Java/Scala; strong SQL skills.
• Experience with Terraform or Deployment Manager for IaC.
• Data modeling skills: dimensional modeling, star/snowflake, partitioning, clustering.
• Version control/CI-CD with Git, Cloud Build, Jenkins or similar.
• Google Professional Data Engineer certification is preferred.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP.
• Develop ETL/ELT pipelines using GCP-native tools.
• Build and optimize data warehouses in BigQuery.
• Ingest data from batch and streaming sources (Pub/Sub, Cloud Storage, Kafka).
• Implement CI/CD for data workflows with IaC tools.
• Monitor performance, troubleshoot, and optimize costs.
• Collaborate with data analysts, scientists, and product teams.

Skills

GCP experience

Python/Java/Scala

SQL

Terraform/Deployment Manager

Data modeling

CI/CD

Git

Google Professional Data Engineer

Tools

BigQuery

Dataflow

Cloud Composer

Cloud Storage

Pub/Sub

Dataproc

Job description

Voto Consulting LLC is seeking a senior data engineer to design, build and maintain scalable data pipelines on Google Cloud Platform. You will develop ETL/ELT processes, optimize BigQuery data warehousing, and manage data ingestion from streaming sources like Pub/Sub and batch storage.

Collaboration with analysts, scientists, and product teams is essential. The role emphasizes strong SQL, Python/Java/Scala, and IaC skills (Terraform/Deployment Manager).