Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," and requires expertise in AWS, Google Cloud, and Azure. Candidates should have at least 5 years of experience in data engineering and strong skills in ETL, Python, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Storage #Programming #Python #Hadoop #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Quality #NoSQL #Azure #Databases #Microsoft Azure #Cloud #Data Pipeline #AWS (Amazon Web Services) #Datasets #Scala #Security #Data Lake #Data Access #Kubernetes #Data Engineering #GitHub #Java #Data Warehouse #Data Security #S3 (Amazon Simple Storage Service) #Storage #Compliance #Data Governance
Role description
We are seeking an experienced Cloud Data Engineer with strong technical skills to join our client’s team. This role is perfect for someone who thrives in building scalable, secure, and innovative data solutions in the cloud.
Key Skills & Experience
• Minimum 5 years of hands-on experience in data engineering
• Cloud Platforms: AWS (Kubernetes), Google Cloud, Microsoft Azure
• Data Storage: Data lakes, data warehouses, cloud storage (S3)
• Data Pipelines: Building and maintaining ETL pipelines (GitHub Actions)
• Programming: Python, Java, Scala
• Databases: SQL, NoSQL, Hadoop, Postgres
• Data Security & Governance: Knowledge of best practices and compliance
• Strong problem-solving and analytical skills with ability to troubleshoot issues and optimize processes
What You’ll Do
• Design and implement scalable, secure cloud-based data storage solutions
• Build and maintain robust ETL data pipelines for ingestion, transformation, and distribution of large datasets
• Automate data workflows and integrate third-party services
• Monitor and optimize cloud data systems for performance, scalability, and cost efficiency
• Conduct data quality checks to ensure accuracy and integrity
• Develop APIs for data access and consumption across the enterprise
• Collaborate with IT, security, architects, and analysts on data governance, modeling, and reporting needs
• Ensure compliance with security, encryption, and access controls
• Provide technical expertise and troubleshooting support for data-related issues
• Stay up-to-date with emerging cloud technologies and best practices
We are seeking an experienced Cloud Data Engineer with strong technical skills to join our client’s team. This role is perfect for someone who thrives in building scalable, secure, and innovative data solutions in the cloud.
Key Skills & Experience
• Minimum 5 years of hands-on experience in data engineering
• Cloud Platforms: AWS (Kubernetes), Google Cloud, Microsoft Azure
• Data Storage: Data lakes, data warehouses, cloud storage (S3)
• Data Pipelines: Building and maintaining ETL pipelines (GitHub Actions)
• Programming: Python, Java, Scala
• Databases: SQL, NoSQL, Hadoop, Postgres
• Data Security & Governance: Knowledge of best practices and compliance
• Strong problem-solving and analytical skills with ability to troubleshoot issues and optimize processes
What You’ll Do
• Design and implement scalable, secure cloud-based data storage solutions
• Build and maintain robust ETL data pipelines for ingestion, transformation, and distribution of large datasets
• Automate data workflows and integrate third-party services
• Monitor and optimize cloud data systems for performance, scalability, and cost efficiency
• Conduct data quality checks to ensure accuracy and integrity
• Develop APIs for data access and consumption across the enterprise
• Collaborate with IT, security, architects, and analysts on data governance, modeling, and reporting needs
• Ensure compliance with security, encryption, and access controls
• Provide technical expertise and troubleshooting support for data-related issues
• Stay up-to-date with emerging cloud technologies and best practices
