AWS Data Engineer

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
8 Months
No Travel Required
Able to Sponsor
Remote
$55 - $60/hr
Company Branding Image
Fitment

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Job Details

Skills

  • Amazon EMR
  • Amazon Kinesis
  • Amazon Redshift
  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Apache Airflow
  • Data Governance
  • DevOps
  • Docker
  • Electronic Health Record (EHR)
  • JD
  • Machine Learning (ML)
  • Git
  • Extract, Transform, Load
  • PyTorch
  • Python
  • PySpark
  • SQL
  • Scala
  • Terraform
  • scikit-learn
  • TensorFlow
  • Warehouse
  • Data Science

Summary

AWS Data Engg with Data Scientist

Client Full Address:

Remote / WFO / Hybrid: Remote (preferably from Cambridge, MA

Hire Type (FTE/Contract): Contract

Detailed JD:

A hands-on AWS Data Engineer with Data Science skills designs, builds, and maintains scalable cloud data pipelines while operationalizing machine learning models and data science workloads.

Job Description Overview

·       Role: Hands-On AWS Data Engineer with Data Science Skills

·       Core Mission: Bridge the gap between raw data infrastructure and production-ready machine learning by building reliable data lakes, feature stores, and automated ML pipelines on AWS.

Key Responsibilities

·       Data Pipeline & Lakehouse Engineering: Design, build, and optimize end-to-end batch and streaming data pipelines using Amazon S3, AWS Glue, Amazon EMR, and Kinesis.

·       Data Science & ML Integration: Operationalize and deploy machine learning models (scikit-learn, PyTorch, or TensorFlow) into production workflows using SageMaker and Lambda.

·       Feature Engineering & Warehousing: Manage large-scale data storage and analytics using Amazon Redshift and Athena, creating clean feature sets for data science models.

·       Orchestration & Automation: Build robust workflow orchestration using Apache Airflow, MWAA (Managed Workflows for Apache Airflow), or AWS Step Functions.

·       Data Governance & Quality: Ensure data integrity, pipeline monitoring, and security compliance using IAM, Lake Formation, and CloudWatch

Required Qualifications & Skills

·       Cloud & Services: 7+ years of hands-on experience with core AWS big data services (S3, Glue, Redshift, Athena, EMR, SageMaker).

·       Programming: Advanced proficiency in Python and SQL; experience with PySpark or Scala for big data processing.

·       Data Science Acumen: Solid understanding of machine learning lifecycles, feature store concepts, and model deployment/inference patterns.

·       DevOps & Tools: Experience with Docker, Git, CI/CD pipelines, and Infrastructure as Code (Terraform or AWS CDK)

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91131106
  • Position Id: 9119487
  • Posted 4 hours ago

Company Info

About Rivago infotech inc

Rivago Infotech Inc has been a leader in IT staffing and Software development for over 5 years and is one of the largest diversity and development firms in the industry. We are known for our high-touch, customer-eccentric approach, offering our clients unmatched quality, responsiveness and flexibility . We are appreciated by our clients for our streamlined execution, highly efficient service and exceptional talent management that go above and beyond traditional staffing services.

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Rajat Arora

Recruiter @ Rivago infotech inc

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