Kellton
Senior Data Engineer (Data Analytics and AI Focused, W2 Role)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Data Analytics and AI Focused) on a long-term contract, 100% remote. Key skills include expertise in SQL, AWS services, Redshift, ETL pipelines, and AI technologies. Strong communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Athena #AWS (Amazon Web Services) #AI (Artificial Intelligence) #DevOps #Redshift #BI (Business Intelligence) #Looker #Data Engineering #Python #Data Extraction #Data Ingestion #Tableau #"ETL (Extract #Transform #Load)" #SQL Queries #Lambda (AWS Lambda) #SQL (Structured Query Language) #Microservices #Automation
Role description
Position: Senior Data Engineer (data analytics and AI focused)
Location: 100% Remote
Duration: Long Term Contract
Summary
Data Engineer must be a skilled engineer with an unwavering passion for excellence in Software Engineering and drive to transform that passion into consistent excellence in product development. The candidate must be customer-obsessed, have strong analytical and communication skills, enjoy working with native AWS services, and thrive on solving challenging business problems. The candidate will partner with Product Owners/Architects, Developers, and other Software Engineers to help design, define, implement functional features, system level validation and verify features of product development. Qualified candidates will show an aptitude learning and implementation of advanced software engineering practices in Data Analytics, AWS, Microservices environment to solve complex problems with a mission to release high quality software that is resilient and optimally performing. Candidates will be engaged in both data and analytics reports development and quality engineering, testing and automation as a data engineer.
Required Skills
· Expert in writing and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions).
· Expert integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards
· Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift.
· Experience in integrating Redshift Serverless with
· Experience of NodeJS and Python
· Working knowledge of any AI technologies
· Experience in working with AWS services, deploying applications to AWS
· Exposure to DevOps tools and automation
· Effective communication skills are a must along with a strong customer service orientation, and the ability to clearly discern client needs.
Position: Senior Data Engineer (data analytics and AI focused)
Location: 100% Remote
Duration: Long Term Contract
Summary
Data Engineer must be a skilled engineer with an unwavering passion for excellence in Software Engineering and drive to transform that passion into consistent excellence in product development. The candidate must be customer-obsessed, have strong analytical and communication skills, enjoy working with native AWS services, and thrive on solving challenging business problems. The candidate will partner with Product Owners/Architects, Developers, and other Software Engineers to help design, define, implement functional features, system level validation and verify features of product development. Qualified candidates will show an aptitude learning and implementation of advanced software engineering practices in Data Analytics, AWS, Microservices environment to solve complex problems with a mission to release high quality software that is resilient and optimally performing. Candidates will be engaged in both data and analytics reports development and quality engineering, testing and automation as a data engineer.
Required Skills
· Expert in writing and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions).
· Expert integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards
· Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift.
· Experience in integrating Redshift Serverless with
· Experience of NodeJS and Python
· Working knowledge of any AI technologies
· Experience in working with AWS services, deploying applications to AWS
· Exposure to DevOps tools and automation
· Effective communication skills are a must along with a strong customer service orientation, and the ability to clearly discern client needs.
