Sciata
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 6-month remote contract, focusing on data platform engineering and ML enablement. Key skills include Kafka, Airflow, AWS, and API development. U.S. residency and full-time availability during business hours are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 14, 2026
🕒 - Duration
More than 6 months
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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
United States
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🧠 - Skills detailed
#API (Application Programming Interface) #Databases #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Data Engineering #Cloud #Docker #Terraform #NoSQL #SaaS (Software as a Service) #SQL (Structured Query Language) #Observability #ML (Machine Learning) #Data Science #Data Pipeline #Batch #SageMaker #Scala #Airflow #Kubernetes
Role description
Job Title: Senior Data Engineer
Location: US based Remote
Duration: 6-month contract with extension potential
(U.S. Citizens or Lawful Permanent Residents can be considered at this time. We are unable to partner with any 3rd parties)
We are seeking a Senior Data Engineer to support a fast-paced SaaS, data-driven product environment. This role will focus on data platform engineering, infrastructure, and ML enablement, with an emphasis on building scalable pipelines, supporting analytics and machine learning workflows, and improving overall platform reliability.
Key Responsibilities:
• Design and build scalable batch and streaming data pipelines
• Develop data infrastructure for analytics and ML workflows
• Build secure, scalable APIs for data and model access
• Support event-driven architecture using Kafka and orchestration using Airflow
• Partner with Data Science and ML teams to deliver platform capabilities
• Ensure strong data observability, governance, and system reliability
Required Skills:
• Strong recent hands-on experience with Kafka and Airflow
• Experience with SQL and NoSQL databases
• Strong AWS or other cloud platform experience
• API development experience
• Experience with Docker, Kubernetes, Terraform/CloudFormation, CI/CD, and observability tools
Nice to Have:
• Experience supporting ML pipelines
• Exposure to SageMaker, OpenAI, or similar tools
• Background in SaaS, data platform, or ML infrastructure environments
Additional Requirements:
• Must be based in the US
• Must be able to work full-time during U.S. business hours
Job Title: Senior Data Engineer
Location: US based Remote
Duration: 6-month contract with extension potential
(U.S. Citizens or Lawful Permanent Residents can be considered at this time. We are unable to partner with any 3rd parties)
We are seeking a Senior Data Engineer to support a fast-paced SaaS, data-driven product environment. This role will focus on data platform engineering, infrastructure, and ML enablement, with an emphasis on building scalable pipelines, supporting analytics and machine learning workflows, and improving overall platform reliability.
Key Responsibilities:
• Design and build scalable batch and streaming data pipelines
• Develop data infrastructure for analytics and ML workflows
• Build secure, scalable APIs for data and model access
• Support event-driven architecture using Kafka and orchestration using Airflow
• Partner with Data Science and ML teams to deliver platform capabilities
• Ensure strong data observability, governance, and system reliability
Required Skills:
• Strong recent hands-on experience with Kafka and Airflow
• Experience with SQL and NoSQL databases
• Strong AWS or other cloud platform experience
• API development experience
• Experience with Docker, Kubernetes, Terraform/CloudFormation, CI/CD, and observability tools
Nice to Have:
• Experience supporting ML pipelines
• Exposure to SageMaker, OpenAI, or similar tools
• Background in SaaS, data platform, or ML infrastructure environments
Additional Requirements:
• Must be based in the US
• Must be able to work full-time during U.S. business hours
