LanceSoft, Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (GCP) with a contract length of "unknown" and a pay rate of "unknown." It requires 2+ years of GCP experience, proficiency in SQL, BigQuery, and dbt, and expertise in building data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Pipeline #"ETL (Extract #Transform #Load)" #Code Reviews #Kafka (Apache Kafka) #Scala #AI (Artificial Intelligence) #Business Analysis #Airflow #Dataflow #dbt (data build tool) #BigQuery #JSON (JavaScript Object Notation) #SQL (Structured Query Language) #Data Engineering #Data Architecture #GCP (Google Cloud Platform) #Python #Cloud
Role description
Job Description:
Data Engineer – GCP
Fully Remote
About the Role:
Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.
The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.
Key Responsibilities:
Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
Design robust and scalable data models that support analytical and operational reporting requirements.
Develop efficient ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.
Must Have:
2–6 years of experience.
2+ years of GCP.
dbt.
SQL.
BigQuery.
Airflow.
Experience working with JSON data.
Preferred:
Dataproc.
Kafka.
Python/Dataflow.
Job Description:
Data Engineer – GCP
Fully Remote
About the Role:
Tech is seeking an experienced Lead Data Engineer to join the Supply Chain Data & AI Organization. This role will support the design, development, and delivery of enterprise data products and analytics solutions across the Sourcing, Transportation, and Warehouse Management (WMS) domains.
The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP). You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making.
Key Responsibilities:
Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
Design robust and scalable data models that support analytical and operational reporting requirements.
Develop efficient ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.
Must Have:
2–6 years of experience.
2+ years of GCP.
dbt.
SQL.
BigQuery.
Airflow.
Experience working with JSON data.
Preferred:
Dataproc.
Kafka.
Python/Dataflow.
