GCP Data Engineer

MethodHub; Dallas (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading IT consulting firm is seeking a GCP Data Engineer to design and maintain scalable data pipelines primarily on BigQuery. Candidates should have strong SQL skills and experience with DBT for data modeling, alongside a solid foundation in data warehousing. This full-time role offers a hybrid working model, spanning several major U.S. cities, including Dallas and Atlanta.

Qualifications

• 5 years of experience in data engineering or similar role.
• Expertise in SQL for writing efficient queries.
• Proficiency in DBT for data transformation.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP.
• Develop and manage DBT models for clean datasets.
• Collaborate with stakeholders to meet data requirements.

Skills

SQL

Data modeling with DBT

BigQuery

Python scripting

Data warehousing principles

Problem-solving

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

GCP

Git

Job description

Overview

Job Title: GCP Data Engineer

Location: Hybrid - Atlanta, GA / Dallas, TX / Houston, TX / Chicago, IL / NY-NJ

Duration: Fulltime with client

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
• Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
• Write complex and optimized SQL queries for data extraction, transformation, and analysis.
• Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
• Monitor and troubleshoot data pipeline performance and data quality issues.
• Automate data workflows and tasks using Python scripts where necessary.
• Ensure data governance, security, and compliance standards are met.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 4-5 years of experience in data engineering or a similar role.
• Strong expertise in SQL with the ability to write efficient, complex queries.
• Proficiency in DBT for data modeling and transformation.
• Hands-on experience with BigQuery and other GCP data services.
• Solid understanding of data warehousing principles and best practices.
• Basic to intermediate skills in Python for scripting and automation.
• Familiarity with version control systems like Git.
• Excellent problem-solving and communication skills.

Seniorities

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting