Motion Recruitment
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 5+ years of experience, focusing on AWS and serverless technologies. It is a contract-to-hire position, 100% remote, requiring expertise in SQL, ETL, Python, and data warehousing solutions.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #SNS (Simple Notification Service) #Looker #AWS Lambda #Cloud #Complex Queries #Datasets #Agile #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Automation #Data Engineering #DynamoDB #Redshift #Data Pipeline #Microservices #SQS (Simple Queue Service) #Python #SQL (Structured Query Language) #Tableau #AI (Artificial Intelligence) #Data Warehouse #S3 (Amazon Simple Storage Service) #SQL Queries #DevOps #Lambda (AWS Lambda) #BI (Business Intelligence)
Role description
We are looking for a highly skilled Senior Data Engineer to join a fast-paced, innovative team building scalable data platforms and analytics solutions. This role is ideal for someone who thrives in a cloud-native environment, enjoys solving complex data challenges, and is passionate about building high-quality, resilient data systems.
You will play a key role in designing and developing modern data pipelines, working with large-scale datasets, and leveraging AWS serverless technologies to power data-driven products.
Senior Data Engineer (AWS, Serverless, Data Platforms)
Location: 100% Remote (EST/CST preferred)
Duration: Contract to Hire
What You’ll Do
• Design, build, and maintain scalable data pipelines and ETL processes
• Develop and optimize complex SQL queries for data transformation and reporting
• Work with AWS services such as Lambda, S3, DynamoDB, SNS, SQS, and Step Functions
• Build and manage data solutions using Redshift as a core data warehouse
• Develop microservices and backend components using Python and Node.js
• Collaborate with cross-functional Agile teams to design and deliver robust solutions
• Integrate BI tools such as Tableau, QuickSight, or Looker for analytics and dashboards
• Implement testing, automation, and performance optimization for data workflows
• Contribute to the adoption of modern engineering practices and cloud technologies
• Explore and apply AI/GenAI capabilities within data and analytics workflows
What We’re Looking For
• 5+ years of experience in Data Engineering or related field
• Strong expertise in SQL, including complex queries and performance tuning
• Hands-on experience with AWS cloud services and serverless architecture
• Experience building ETL/data pipelines using tools like AWS Lambda and Redshift
• Proficiency in Python and working knowledge of Node.js
• Experience working with large-scale data systems and data warehousing solutions
• Familiarity with BI tools such as Tableau, QuickSight, or Looker
• Exposure to AI/ML or Generative AI technologies is a plus
• Understanding of microservices architecture and event-driven systems
• Experience with DevOps tools and CI/CD pipelines is a plus
• Strong communication skills and ability to work in collaborative environments
We are looking for a highly skilled Senior Data Engineer to join a fast-paced, innovative team building scalable data platforms and analytics solutions. This role is ideal for someone who thrives in a cloud-native environment, enjoys solving complex data challenges, and is passionate about building high-quality, resilient data systems.
You will play a key role in designing and developing modern data pipelines, working with large-scale datasets, and leveraging AWS serverless technologies to power data-driven products.
Senior Data Engineer (AWS, Serverless, Data Platforms)
Location: 100% Remote (EST/CST preferred)
Duration: Contract to Hire
What You’ll Do
• Design, build, and maintain scalable data pipelines and ETL processes
• Develop and optimize complex SQL queries for data transformation and reporting
• Work with AWS services such as Lambda, S3, DynamoDB, SNS, SQS, and Step Functions
• Build and manage data solutions using Redshift as a core data warehouse
• Develop microservices and backend components using Python and Node.js
• Collaborate with cross-functional Agile teams to design and deliver robust solutions
• Integrate BI tools such as Tableau, QuickSight, or Looker for analytics and dashboards
• Implement testing, automation, and performance optimization for data workflows
• Contribute to the adoption of modern engineering practices and cloud technologies
• Explore and apply AI/GenAI capabilities within data and analytics workflows
What We’re Looking For
• 5+ years of experience in Data Engineering or related field
• Strong expertise in SQL, including complex queries and performance tuning
• Hands-on experience with AWS cloud services and serverless architecture
• Experience building ETL/data pipelines using tools like AWS Lambda and Redshift
• Proficiency in Python and working knowledge of Node.js
• Experience working with large-scale data systems and data warehousing solutions
• Familiarity with BI tools such as Tableau, QuickSight, or Looker
• Exposure to AI/ML or Generative AI technologies is a plus
• Understanding of microservices architecture and event-driven systems
• Experience with DevOps tools and CI/CD pipelines is a plus
• Strong communication skills and ability to work in collaborative environments
