

Intellias
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer on a contract basis, focusing on cloud-based data solutions. Key skills include ETL/ELT development, SQL expertise, and experience with cloud platforms, preferably GCP. The contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Cloud #Data Pipeline #Metadata #Data Architecture #Data Management #Scala #SQL (Structured Query Language) #Data Warehouse #GCP (Google Cloud Platform) #Agile #Data Engineering #Data Modeling #Data Quality #"ETL (Extract #Transform #Load)"
Role description
About the Role
We are seeking a Senior Data Engineer to join a large-scale enterprise data modernization initiative focused on building and evolving cloud-based data and analytics capabilities.
In this role, you will work alongside a collaborative team of engineers, architects, and business stakeholders to design, develop, and optimize modern data solutions that support enterprise reporting, analytics, and decision-making. You will contribute to the evolution of a scalable cloud data platform while helping establish best practices for data transformation, governance, and consumption.
This opportunity is ideal for someone who enjoys solving complex data challenges, building robust data pipelines, and contributing to modern analytics architectures in a fast-paced Agile environment.
Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines
Build and optimize data transformation workflows within a modern cloud-based data platform
Contribute to the development and enhancement of enterprise data models and semantic data structures
Collaborate with architects, engineers, and business stakeholders to deliver high-quality data solutions
Support data quality, governance, and performance optimization initiatives
Participate in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives
Assist in defining and implementing best practices for data engineering and analytics development
Required Qualifications
Strong experience designing and developing ETL/ELT pipelines
Hands-on experience working with modern cloud-based data platforms
Experience with enterprise data warehousing and analytics solutions
Familiarity with semantic modeling and data consumption layers
Strong SQL and data transformation expertise
Experience working within Agile delivery environments
Excellent communication skills and ability to collaborate across technical and business teams
Fluent English communication skills
Preferred Qualifications
Experience with Google Cloud Platform (GCP)
Experience with modern cloud data warehouse technologies
Exposure to data modeling, metadata management, and governance frameworks
Understanding of data architecture principles and scalable analytics solutions
Experience contributing to platform design and technical decision-making
Why Join Intellias?
At Intellias, we help organizations solve complex business challenges through technology. You'll have the opportunity to work on impactful enterprise initiatives, collaborate with talented professionals, and contribute to the development of modern data solutions that drive business value.
We are committed to fostering an inclusive and diverse workplace where all employees can thrive and grow professionally.
About the Role
We are seeking a Senior Data Engineer to join a large-scale enterprise data modernization initiative focused on building and evolving cloud-based data and analytics capabilities.
In this role, you will work alongside a collaborative team of engineers, architects, and business stakeholders to design, develop, and optimize modern data solutions that support enterprise reporting, analytics, and decision-making. You will contribute to the evolution of a scalable cloud data platform while helping establish best practices for data transformation, governance, and consumption.
This opportunity is ideal for someone who enjoys solving complex data challenges, building robust data pipelines, and contributing to modern analytics architectures in a fast-paced Agile environment.
Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines
Build and optimize data transformation workflows within a modern cloud-based data platform
Contribute to the development and enhancement of enterprise data models and semantic data structures
Collaborate with architects, engineers, and business stakeholders to deliver high-quality data solutions
Support data quality, governance, and performance optimization initiatives
Participate in Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives
Assist in defining and implementing best practices for data engineering and analytics development
Required Qualifications
Strong experience designing and developing ETL/ELT pipelines
Hands-on experience working with modern cloud-based data platforms
Experience with enterprise data warehousing and analytics solutions
Familiarity with semantic modeling and data consumption layers
Strong SQL and data transformation expertise
Experience working within Agile delivery environments
Excellent communication skills and ability to collaborate across technical and business teams
Fluent English communication skills
Preferred Qualifications
Experience with Google Cloud Platform (GCP)
Experience with modern cloud data warehouse technologies
Exposure to data modeling, metadata management, and governance frameworks
Understanding of data architecture principles and scalable analytics solutions
Experience contributing to platform design and technical decision-making
Why Join Intellias?
At Intellias, we help organizations solve complex business challenges through technology. You'll have the opportunity to work on impactful enterprise initiatives, collaborate with talented professionals, and contribute to the development of modern data solutions that drive business value.
We are committed to fostering an inclusive and diverse workplace where all employees can thrive and grow professionally.






