NLB Services
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis, requiring 6+ years of Big Data experience. Key skills include advanced SQL, Python/PySpark, and cloud experience (GCP/AWS/Azure). Pay rate is "unknown," and location is "remote."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 6, 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
New York, United States
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🧠 - Skills detailed
#Docker #Spark (Apache Spark) #Python #NoSQL #DevOps #Deployment #.Net #Public Cloud #Data Pipeline #Cloud #AWS (Amazon Web Services) #ML (Machine Learning) #PySpark #Computer Science #"ETL (Extract #Transform #Load)" #MongoDB #SQL (Structured Query Language) #Kubernetes #C# #Azure DevOps #Terraform #Microservices #BigQuery #GCP (Google Cloud Platform) #Databases #Data Engineering #Airflow #Programming #Azure #Big Data #GIT
Role description
Responsibilities
• Use the latest technology to build data pipelines and integrate machine learning models
• Build and expand our data platform
• Develop applications that run on a Google Cloud-based infrastructure
Qualifications
• 6+ years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery.
• Have strong programming skills in SQL, Python/PySpark, etc.
• Experience in the design and development of data pipelines, ETL/ELT processes.
• Experience in one of the public cloud providers – GCP, Azure, AWS.
• Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
• Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
• Comfortable using Azure DevOps or similar CI/CD tools, Git
• Building Docker images and deploying them to Production. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform.
• Strong problem-solving and communication skills.
• Bachelor's or an advanced degree in Computer Science or a related engineering discipline.
• Optionally have experience with C#, .NET core, and microservices
Responsibilities
• Use the latest technology to build data pipelines and integrate machine learning models
• Build and expand our data platform
• Develop applications that run on a Google Cloud-based infrastructure
Qualifications
• 6+ years of experience in Big Data and Data Engineering.
• Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery.
• Have strong programming skills in SQL, Python/PySpark, etc.
• Experience in the design and development of data pipelines, ETL/ELT processes.
• Experience in one of the public cloud providers – GCP, Azure, AWS.
• Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
• Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
• Comfortable using Azure DevOps or similar CI/CD tools, Git
• Building Docker images and deploying them to Production. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform.
• Strong problem-solving and communication skills.
• Bachelor's or an advanced degree in Computer Science or a related engineering discipline.
• Optionally have experience with C#, .NET core, and microservices
