Info Way Solutions

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with healthcare experience, offering a remote contract. Key skills include Python, SQL, GCP, and Terraform. Responsibilities involve designing data environments, building data pipelines, and optimizing cloud data warehouses.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 10, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Microsoft Azure #Python #Cloud #Logging #Azure #Data Ingestion #GCP (Google Cloud Platform) #Data Pipeline #"ETL (Extract #Transform #Load)" #Infrastructure as Code (IaC) #Data Engineering #Data Processing #Monitoring #Data Transformations #BigQuery #Terraform #AI (Artificial Intelligence) #Data Warehouse #Databases #Clustering #SQL (Structured Query Language) #Batch
Role description
DATA ENGINEER (Green Card/ Citizens) HealthCare Experience is must Work location: Remote Must Skills: Python, SQL, GCP Additional: TERRAFORM ξ„“ ξ„“ Schedule Notes: Required Skills & Responsibilities Β· Contribute to the design, configuration, and support of data, analytics, and AI environments across Google Cloud Platform (GCP) and Microsoft Azure, including Microsoft Fabric Β· Build and maintain data pipelines to ingest, cleanse, transform, and curate structured and unstructured data -Support batch and near–real-time data ingestion and transformation workflows -Use Infrastructure as Code (IaC) tools (e.g., Terraform) to help automate cloud environment provisioning and configuration Β· Configure and support cloud services related to data ingestion, integration, messaging, CI/CD, and data processing -Assist with data modelling and performance optimization in cloud data warehouses (e.g., partitioning and clustering in BigQuery) Β· Support the setup and tuning of operational databases or data-serving layers based on defined use cases Β· Implement and maintain monitoring, logging, and alerting for data pipelines and platforms Β· Write and maintain data transformations using SQL and Python -Collaborate with engineers, analysts, and product teams in an iterative, product-focused environment