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Data Engineer Cloud Computing

Google Cloud Platform Data Engineer

Job in Brooklyn, Cuyahoga County, Ohio, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below

Title: Google Cloud Platform Data Engineer

Location: Remote (Preferably from Cleveland, OH)

Duration: 6+ Months

Summary

Seeking a Google Cloud Data Engineer to join a talented team to build a new and exciting data product. The ideal candidate will have a strong technical background, leadership experience, and excellent communication skills to engage business stakeholders and drive data transformation initiatives in an Agile environment.

Responsibilities
  • Design, develop, and implement scalable data pipelines using Google Cloud Platform services.
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
  • Build and maintain data architecture to support the new data product.
  • Optimize data processing workflows for performance, reliability, and scalability.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Monitor and troubleshoot data pipelines and systems for smooth operation.
  • Document technical specifications, processes, and workflows for knowledge sharing.
    • Qualifications
    • Experience with real-time and batch data integration using Google Cloud Platform services.
    • Proficiency in extracting, transforming, and loading data from various sources.
    • Leadership experience, with a history of leading projects or teams.
    Preferred Skills
    • Experience in financial services industry.
    • Skills in SQL, Google Big Query, Google Cloud Data Pipeline tools (Data Flow, Data stream), Cloud Composer, Cloud Run, Git Hub, Python, Terraform, DBT, Google Pub/Sub, Salesforce data integration, Oracle/SQL Server data integration.
    Soft Skills
    • Exceptional communication and interpersonal skills.
    • Strong personality with polished presence.
    • Ability to inspire teams and stakeholders in data initiatives.
    Work Environment
    • Familiarity with Agile methodologies.
    • Ability to work effectively in a fast-paced, collaborative environment.
    Seniority Level

    Mid-Senior level

    Employment Type

    Full-time

    Job Function

    Information Technology

    Industry

    Software Development

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