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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Data Engineer - **Company:** IVID TEK INC - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Salary:** $114,400.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Agile Methodology, Artificial Intelligence, Airflow, Big Data, BigQuery, Cloud Computing, Cloud Database, Cloud Storage, Code Review, Computer Programming, Continuous Delivery, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Warehousing, DevOps, Data Flow Control, Python (Programming Language), Machine Learning, Performance Tuning, Software Deployment, SQL Databases, Data Streaming, Tableau (Software), Data Processing, Google Cloud, Git, Pyspark, Data Management, Tools for Reporting, Looker Analytics, Software Version Control, Data Pipelines, Apache Beam, Service Stack, Jenkins, Programming Languages - **Published:** September 27, 2026 - **Apply:** https://www.juju.com/job/16_ff0a8bd91 ## About the Role * Core Cloud Stack: 6 to 9 years of hands-on experience in data engineering, with strong expertise in core GCP services: BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS. * Languages & Frameworks: Expert-level proficiency in Python, SQL, and PySpark / Apache Beam. * DevOps Best Practices: Experience with Git, Jenkins automation, code integration, and peer code reviews within an Agile environment. * Visualization & BI: Experience supporting data integration, data modeling, and performance tuning for downstream dashboards (e.g., Tableau). * AI/ML Awareness: Basic understanding of AI/ML concepts and practical exposure to integrating data for AI/ML models or solutions is preferred. ## Description Job Description:We are seeking an experienced GCP Data Engineer to design, build, and optimize enterprise-grade data platforms on Google Cloud. In this role, you will be responsible for building robust batch and real-time data pipelines, managing cloud data warehouses, and enabling analytics and reporting across large-scale data environments., * Cloud Pipeline Architecture: Design, develop, and maintain automated batch and streaming data pipelines using GCP services including BigQuery, Cloud Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, and Cloud Storage (GCS). * Data Warehousing & Optimization: Build and optimize large-scale data models in BigQuery utilizing partitioning, clustering, and materialized views to maximize query performance and control compute costs. * Programming & Automation: Write production-grade Python and PySpark scripts for complex ETL/ELT transformations, data manipulation, and pipeline orchestration. * CI/CD & DevOps Integration: Implement and support Git-based version control, continuous integration, and continuous delivery (CI/CD) pipelines using tools like Jenkins for code deployment, testing, and automated monitoring. * BI & Reporting Support: Collaborate with business intelligence and analytics teams by preparing clean, structured datasets and assisting with data integration for reporting tools such as Tableau or Looker. * AI/ML Alignment: Partner with cross-functional teams to support and integrate data models designed for downstream AI/ML solutions and predictive analytics. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Got AI ideas but no money? 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