Insight Global
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown," located in "unknown." Key skills include expert SQL, ETL/BI development, Google Cloud (BigQuery, GCS), and Python.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
January 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#BI (Business Intelligence) #EDW (Enterprise Data Warehouse) #Python #dbt (data build tool) #Data Pipeline #Data Warehouse #Scala #SQL (Structured Query Language) #GCP (Google Cloud Platform) #BigQuery #Jenkins #Cloud #"ETL (Extract #Transform #Load)" #Data Engineering
Role description
Role Overview
We’re hiring Data Engineers for a Fortune 100 retail client’s Enterprise Data Warehouse Team. This team supports all 12 business units by delivering high-quality, scalable data solutions. You’ll work on legacy redesigns and new projects using cutting-edge technology, including Google Cloud (BigQuery, GCS).
Core Responsibilities
• Build and optimize data pipelines and solutions for multiple business units.
• Collaborate with project managers, product managers, and stakeholders to gather requirements and validate solutions.
• Ensure data processes are robust and scalable for long-term performance.
• Work independently and drive projects forward.
Required Skills
• Excellent communication skills (written and verbal).
• Ability to explain the impact and outcomes of your work.
• Technical expertise in:SQL (expert level)
• ETL/BI development
• Jenkins (2+ years preferred)
• Google Cloud Platform (GCP), BigQuery, GCS
• Python
• Dataform and/or DBT
• Strong systemic thinking (understand trade-offs in design decisions).
Ideal Candidate
• Growth mindset: Reflects on past work and seeks improvement.
• Understands why behind coding decisions, not just how.
• Can design solutions that remain effective over time.
Role Overview
We’re hiring Data Engineers for a Fortune 100 retail client’s Enterprise Data Warehouse Team. This team supports all 12 business units by delivering high-quality, scalable data solutions. You’ll work on legacy redesigns and new projects using cutting-edge technology, including Google Cloud (BigQuery, GCS).
Core Responsibilities
• Build and optimize data pipelines and solutions for multiple business units.
• Collaborate with project managers, product managers, and stakeholders to gather requirements and validate solutions.
• Ensure data processes are robust and scalable for long-term performance.
• Work independently and drive projects forward.
Required Skills
• Excellent communication skills (written and verbal).
• Ability to explain the impact and outcomes of your work.
• Technical expertise in:SQL (expert level)
• ETL/BI development
• Jenkins (2+ years preferred)
• Google Cloud Platform (GCP), BigQuery, GCS
• Python
• Dataform and/or DBT
• Strong systemic thinking (understand trade-offs in design decisions).
Ideal Candidate
• Growth mindset: Reflects on past work and seeks improvement.
• Understands why behind coding decisions, not just how.
• Can design solutions that remain effective over time.
