Qualis1 Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "OPEN FOR W2," offering a pay rate of "unknown." It is a remote position requiring expertise in GCP, BigQuery, Dataform, Dataflow, and mentoring skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 1, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ML (Machine Learning) #Storage #Terraform #Python #Batch #Dataflow #SQL (Structured Query Language) #GCP (Google Cloud Platform) #Scala #Data Lineage #Apache Beam #Data Architecture #Leadership #Automated Testing #Cloud #Security #"ETL (Extract #Transform #Load)" #Datasets #Data Pipeline #Code Reviews #Hadoop #Data Processing #Airflow #Java #Strategy #Data Engineering #BigQuery #Data Modeling #Spark (Apache Spark)
Role description
Preferred Employment : OPEN FOR W2
Role Overview
We are seeking a highly skilled Senior Data Engineer to lead the architectural design and hands-on implementation of our next-generation data platform on Google Cloud Platform (GCP). The ideal candidate is a subject matter expert in BigQuery and possesses deep experience building robust, scalable data pipelines using Dataform, Dataflow, and Dataproc. In this role, you will bridge the gap between high-level architectural strategy and technical execution, ensuring our data ecosystem is performant, cost-effective, and capable of supporting advanced analytics and machine learning initiatives.
Key Responsibilities
Architectural Design & Leadership
● Design and implement end-to-end data architectures on GCP, ensuring high availability, security, and scalability.
● Establish best practices for data modeling (Medallion architecture, Star Schema) specifically optimized for BigQuery's columnar storage.
● Evaluate emerging GCP technologies and provide strategic recommendations for platform evolution.
● Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards. Data Pipeline Engineering
● Develop complex ELT workflows using Dataform to manage SQL-based transformations, ensuring data lineage and quality through automated testing.
● Build and maintain large-scale batch and streaming data processing pipelines using Dataflow (Apache Beam).
● Preferred to have Dataproc knowledge for distributed processing of massive datasets using Spark or Hadoop where specialized compute is required
#DataEngineer #SeniorDataEngineer #GCP #GoogleCloud #BigQuery #Dataform #Dataflow #Dataproc #ApacheBeam #Python #Java #SQL #Terraform #CloudComposer #Airflow #DataArchitecture #DataEngineering #DataPlatform #Remote #USRemote #CST #USCitizen
Preferred Employment : OPEN FOR W2
Role Overview
We are seeking a highly skilled Senior Data Engineer to lead the architectural design and hands-on implementation of our next-generation data platform on Google Cloud Platform (GCP). The ideal candidate is a subject matter expert in BigQuery and possesses deep experience building robust, scalable data pipelines using Dataform, Dataflow, and Dataproc. In this role, you will bridge the gap between high-level architectural strategy and technical execution, ensuring our data ecosystem is performant, cost-effective, and capable of supporting advanced analytics and machine learning initiatives.
Key Responsibilities
Architectural Design & Leadership
● Design and implement end-to-end data architectures on GCP, ensuring high availability, security, and scalability.
● Establish best practices for data modeling (Medallion architecture, Star Schema) specifically optimized for BigQuery's columnar storage.
● Evaluate emerging GCP technologies and provide strategic recommendations for platform evolution.
● Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards. Data Pipeline Engineering
● Develop complex ELT workflows using Dataform to manage SQL-based transformations, ensuring data lineage and quality through automated testing.
● Build and maintain large-scale batch and streaming data processing pipelines using Dataflow (Apache Beam).
● Preferred to have Dataproc knowledge for distributed processing of massive datasets using Spark or Hadoop where specialized compute is required
#DataEngineer #SeniorDataEngineer #GCP #GoogleCloud #BigQuery #Dataform #Dataflow #Dataproc #ApacheBeam #Python #Java #SQL #Terraform #CloudComposer #Airflow #DataArchitecture #DataEngineering #DataPlatform #Remote #USRemote #CST #USCitizen
