Raas Infotek
Data Analytics Engineer(GCP)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Engineer (GCP) on a remote contract, requiring expertise in Google Cloud Platform, data engineering, and analytics tools. Key skills include BigQuery, Dataflow, Python, and ETL processes. Only USC/GC candidates on W2 will be considered.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Leadership #BI (Business Intelligence) #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Matillion #Visualization #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Quality #Scala #Data Engineering #Dataflow #Cloud #Looker #Python #BigQuery #Documentation
Role description
Only USC/GC on W2
Position: Data Analytics Engineer(GCP)
Location: Remote
Contract
Job Description:
We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.
Key Responsibilities
· Design, develop, and maintain scalable and reliable data pipelines and data products within the Google Cloud Platform (GCP) ecosystem.
· Build and optimize ETL/ELT processes using tools like Dataflow, Dataform, and Matillion (optional) to ingest and transform data from a variety of sources.
· Leverage Google BigQuery to model, store, and deliver data for analytics and advanced business intelligence applications.
· Develop and maintain compelling analytics solutions for BI and data visualization platforms such as Quick Suite or Looker.
· Collaborate with stakeholders to gather requirements and translate them into detailed technical design specifications and discovery documentation.
· Write clean, efficient, and well-tested application software, including SQL scripts and procedures, ensuring it meets functional and performance requirements.
· Proactively troubleshoot, debug, and resolve data and application issues, providing post-implementation and rotational on-call support to ensure business continuity.
· Provide technical leadership and mentorship within the team, sharing expertise and promoting best practices.
· Partner with external vendors on co-development initiatives to deliver integrated solutions.
· Maintain clear and proactive communication with the Information Engineering Technical Lead and team members regarding project status, risks, and concerns.
· Ensure all solutions are compliant with departmental SOPs and contribute to process improvements.
--
Thanks
Prashant Bansal
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-565-0188 Ext: 144,
Email: Prashant.bansal@raasinfotek.com
Website: raasinfotek.com
Only USC/GC on W2
Position: Data Analytics Engineer(GCP)
Location: Remote
Contract
Job Description:
We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through BigQuery, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.
Key Responsibilities
· Design, develop, and maintain scalable and reliable data pipelines and data products within the Google Cloud Platform (GCP) ecosystem.
· Build and optimize ETL/ELT processes using tools like Dataflow, Dataform, and Matillion (optional) to ingest and transform data from a variety of sources.
· Leverage Google BigQuery to model, store, and deliver data for analytics and advanced business intelligence applications.
· Develop and maintain compelling analytics solutions for BI and data visualization platforms such as Quick Suite or Looker.
· Collaborate with stakeholders to gather requirements and translate them into detailed technical design specifications and discovery documentation.
· Write clean, efficient, and well-tested application software, including SQL scripts and procedures, ensuring it meets functional and performance requirements.
· Proactively troubleshoot, debug, and resolve data and application issues, providing post-implementation and rotational on-call support to ensure business continuity.
· Provide technical leadership and mentorship within the team, sharing expertise and promoting best practices.
· Partner with external vendors on co-development initiatives to deliver integrated solutions.
· Maintain clear and proactive communication with the Information Engineering Technical Lead and team members regarding project status, risks, and concerns.
· Ensure all solutions are compliant with departmental SOPs and contribute to process improvements.
--
Thanks
Prashant Bansal
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-565-0188 Ext: 144,
Email: Prashant.bansal@raasinfotek.com
Website: raasinfotek.com
