AWS Data Engineer

VDart Inc; United States; Remote; USD 138,000 - 248,000; Full time

Job summary

VDart Inc. is seeking an experienced AWS Data Engineer for a remote C2C engagement.

You will design and maintain scalable cloud data pipelines on AWS, focusing on data quality, security, and operational excellence. The ideal candidate has 14+ years IT experience and 7+ years in data engineering, with hands-on Snowflake, AWS services (S3, ECR, Fargate, Glue, Lambda, EC2, Athena), and strong SQL for large-scale processing and data warehousing.

Qualifications

• 14+ years of overall IT experience.
• 7+ years in data engineering, designing and optimizing cloud-native data pipelines.
• Experience in investment domain, specifically Private Credit, is required.
• Expert-level proficiency in SQL with large-scale data processing, transformation, automation, and orchestration.
• Deep expertise in database design, data modeling, data warehousing, and data architecture best practices.
• Strong hands-on expertise in Snowflake for building and optimizing cloud-based data warehousing and processing solutions.
• Hands-on experience setting up AWS infrastructure (S3, ECR, Fargate) and services like Glue, Lambda, EC2, Athena.
• Proficiency in ETL/ELT data-loading patterns for data warehouses and data lakes.
• Solid experience with DevOps practices and CI/CD pipelines (GitHub Actions, Bamboo).

Responsibilities

• Design and maintain scalable data and cloud solutions.
• Build and optimize data pipelines and AWS infrastructure.
• Collaborate with business and technology stakeholders.
• Ensure data quality, security, and operational excellence.
• Support cloud-native integrations and automation initiatives.

Skills

IT leadership

AWS Data Engineering

SQL

Snowflake

ETL/ELT pipelines

DevOps/CI-CD

Large-scale data processing

Cloud security

Data modeling

Data warehousing

Tools

Snowflake

Amazon S3

Amazon EC2

AWS Lambda

AWS Glue

Amazon Athena

AWS Fargate

Amazon ECR

GitHub Actions

Bamboo

Job description

Job Title: AWS Data Engineer

Location: Remote

Duration: / Term: C2C

Experience Desired: 14+ Years

Job Description:

Key Responsibilities

• Design and maintain scalable data and cloud solutions.
• Build and optimize data pipelines and AWS infrastructure.
• Collaborate with business and technology stakeholders.
• Ensure data quality, security, and operational excellence.
• Support cloud-native integrations and automation initiatives.

Ideal Candidate Profile

• 14+ years of overall IT experience.

• 7+ years of experience in data engineering, with a proven track record of designing, building, and optimizing scalable, cloud-native data pipelines and architectures.
• Experience in the investment domain, specifically Private Credit, is required.
• Expert-level proficiency in SQL, with strong experience in large-scale data processing, transformation, automation, and orchestration.
• Deep expertise in database design, data modeling, data warehousing, and data architecture best practices.
• Strong hands-on expertise in Snowflake for building and optimizing cloud-based data warehousing and processing solutions.
• Strong hands-on experience setting up AWS infrastructure, including Amazon S3, Amazon ECR, and AWS Fargate, with advanced proficiency in related services such as AWS Glue, AWS Lambda, Amazon EC2, and Amazon Athena.
• Proficiency in designing and implementing ETL/ELT pipelines and data-loading patterns for data warehouses and data lakes.
• Solid experience with DevOps practices and automation frameworks, including CI/CD pipelines, GitHub Actions, Bamboo, and pipeline-as-code principles.

Key Skills:

Data Engineer, AWS, Investment, Credit, Snowflake, ETL.