[Remote] Data Engineer-Data Platforms-Google - 1

October 15, 2026

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Note: The job is a remote job and is open to candidates in USA. IBM Consulting helps companies advance their hybrid cloud and AI journeys through collaboration, technology, and innovative solutions. The Data Engineer will design, build, maintain, and optimize scalable batch and real-time data pipelines and data engineering solutions using Google Cloud data platforms and open-source technologies.

Responsibilities

Design Data Pipelines: Design and develop batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud services such as DataProc, DataFlow, PubSub, BigQuery, and Big Table
Develop Data Engineering Solutions: Build and maintain data engineering solutions using Google Cloud Storage, BigTable, BigQuery DataProc with Spark and Hadoop, Google DataFlow with Apache Beam or Python, and other open-source technologies like Apache Airflow, dbt, Spark/Python, or Spark/Scala
Manage Data Platforms: Schedule and manage the data platform using Google Cloud Scheduler and Cloud Composer (Airflow), ensuring seamless data pipeline operations
Optimize Data Layer: Design and optimize the data layer for efficient data migration and data processing using Google Cloud services
Ensure Scalability: Ensure scalability and efficiency of data pipelines and data engineering solutions to meet business needs

Skills

Proven experience designing, building, and maintaining data engineering solutions on Google's Cloud ecosystem, including Google DataProc, DataFlow, PubSub, BigQuery, Big Table, Cloud Spanner, CloudSQL, and AlloyDB
Experience with Apache Beam, Apache Airflow, dbt, Spark/Python, or Spark/Scala, and ability to integrate these technologies with Google Cloud services
Experience developing and managing batch and real-time data pipelines for Data Warehouse and Datalake using Google Cloud services
Experience scheduling and managing data platforms using Google Cloud Scheduler and Cloud Composer (Airflow)
Experience designing and optimizing data layers for efficient data migration and data processing using Google Cloud services
Experience with Apache Beam, including integrating it with Google Cloud services such as DataFlow, is highly valued
Ability to optimize Beam pipelines for scalability and efficiency is a plus
Familiarity with dbt and data modeling concepts, including data warehousing and data lake architecture, is beneficial for designing and optimizing data layers
Proficiency in Spark and Scala, including integrating them with Google Cloud services such as DataProc, is desirable for building and maintaining data engineering solutions

Benefits

This role can be performed from anywhere in the United States of America
Long-term career development support

Company Overview

IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. It was founded in 1911, and is headquartered in Armonk, New York, USA, with a workforce of 10001+ employees. Its website is

Company H1B Sponsorship

IBM has a track record of offering H1B sponsorships, with 1230 in 2026, 2857 in 2025, 3115 in 2024, 2047 in 2023, 1795 in 2022, 1153 in 2021, 2669 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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