Remote GCP Data Engineer - Gen AI & Data Pipelines

Code1; United States; Remote; USD 165,000 - 248,000; Full time

Job summary

Code1 is seeking an experienced GCP Data Engineer with Gen AI expertise for a remote, full-time contract. You will design, build, and optimize large-scale data pipelines and data warehouses on Google Cloud Platform, integrating Gen AI workflows.

Role requires 7–13 years of software engineering experience, strong Python/PySpark skills, and proficiency with BigQuery, Dataflow, Pub/Sub, and Cloud Composer. Immediate availability and CI/CD practices are essential.

Qualifications

• Minimum of 7 to 13 years of professional software engineering experience with strong focus on GCP data engineering.
• Hands-on production experience designing and optimizing data architectures on Google Cloud Platform.
• Proficiency in Python and PySpark for large-scale distributed data processing.
• Advanced SQL and data modeling for data warehousing.
• Experience with ETL/ELT pipelines and workflow orchestration tools (Cloud Composer / Airflow).
• Familiarity with CI/CD pipelines and Git version control.

Responsibilities

• Architect, build, and optimize end-to-end data pipelines on Google Cloud Platform.
• Integrate Gen AI models and workflows with cloud data pipelines and data warehouses.
• Develop and tune ETL/ELT pipelines using BigQuery, Dataflow, and Dataproc.
• Manage real-time data ingestion via Pub/Sub and storage via GCS.
• Write clean Python and PySpark code and maintain CI/CD practices.
• Design scalable data models and enterprise analytics layers on GCP.
• Monitor performance, optimize queries, and govern costs across BigQuery and GCP storage.
• Lead data engineering efforts with cross-functional analytics and ML teams.

Skills

Python

PySpark

SQL

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Airflow/Cloud Composer

CI/CD with Git

Job description

Code1 is seeking an experienced GCP Data Engineer with Gen AI expertise for a remote, full-time contract. You will design, build, and optimize large-scale data pipelines and data warehouses on Google Cloud Platform, integrating Gen AI workflows.

Role requires 7–13 years of software engineering experience, strong Python/PySpark skills, and proficiency with BigQuery, Dataflow, Pub/Sub, and Cloud Composer. Immediate availability and CI/CD practices are essential.