AWS Data Engineer

EBSCO Information Services; United States; Remote; USD 95,000 - 136,000; Full time

Job summary

EBSCO Information Services is seeking a skilled Data Engineer to design and maintain robust data systems using AWS technologies. This remote role involves developing data pipelines, optimizing AWS database solutions, and integrating machine learning into data workflows. A Bachelor's degree and substantial AWS experience are essential for success in this position.

Qualifications

• 5+ years experience using AWS data services.
• 3+ years experience building data pipelines in AWS.
• Proven expertise with AWS Infrastructure as Code tools.

Responsibilities

• Develop and maintain scalable data pipelines using AWS technologies.
• Optimize storage solutions and performance for AWS database solutions.
• Integrate AWS-based machine learning models into data pipelines.

Skills

AWS Data Services

Data Pipeline Management

Infrastructure as Code

Linux Environments

Scripting (Python, Bash)

Education

Bachelor’s degree in Computer Science or Engineering

Tools

AWS Glue

Amazon Redshift

Amazon DynamoDB

Amazon RDS

Amazon S3

AWS CloudFormation

AWS CDK

Job description

EBSCO Information Services (EBSCO) delivers a fully optimized research experience, seamlessly integrated with a powerful discovery platform to support the information needs and maximize the research experience of our end-users. Headquartered in Ipswich, MA, EBSCO employs more than 2,700 people worldwide, with most embracing hybrid or remote work models. As an AI-enabled service leader, we thrive on innovation, forward-thinking strategies, and the dedication of our exceptional team. At EBSCO, we’re driven to inspire, empower and support research. Our mission is to transform lives by providing reliable and relevant information — when, where and how people need it. We’re seeking dynamic, creative individuals whose diverse perspectives will help us achieve this global, inclusive mission. Join us to help make an impact.

Your Opportunity

As a Data Engineer, your primary responsibility is to design, build, and maintain scalable and robust data systems and pipelines utilizing AWS technologies. You will work closely with cross-functional teams to ensure data integrity, performance optimization, and seamless integration of data from various sources.This remote position is U.S.-based only (excluding U.S. territories).

What You'll Do

• Develop and maintain scalable data pipelines using AWS Glue, Amazon Redshift, Amazon DynamoDB, Amazon RDS, and Amazon S3
• Design and implement efficient data models and schemas optimized for AWS databases including SQLite3, MySQL, PostgreSQL, and ElasticSearch
• Automate infrastructure management using AWS Infrastructure as Code tools such as CloudFormation and AWS CDK
• Optimize storage solutions, performance, and scalability for cloud-based database solutions
• Implement and manage data lakehouse architectures and optimize data storage formats such as Parquet
• Integrate AWS-based machine learning models and AI services into data pipelines
• Monitor data systems, perform troubleshooting, and ensure reliability using AWS CloudWatch and related services
• Collaborate with analysts and stakeholders to define requirements and deliver AWS-driven data solutions

Your Team

You will be welcomed as a member of the Data Engineering team, consisting of approximately 15 professionals within our broader Technology and Analytics organization. Our team enjoys the flexibility and greater work-life balance working remotely offers. There will be ample resources, tools, training, and support to ensure your success as a Data Engineer and your development and career growth at EIS.

About You

• Bachelor’s degree in computer science, Engineering, or relatedfield
• 5+ years experience using AWS data services (Redshift, DynamoDB, S3, Glue, RDS)
• 3+ years experience building data pipelines and managing databases within AWS environments
• Proven expertise with AWS Infrastructure as Code tools (CloudFormation, AWS CDK)
• Proficiency with Linux environments for system administration and scripting tasks

What sets you apart

• Experience leveraging AWS machine learning tools such as SageMaker
• Strong proficiency in scripting languages such as Python or Bash
• Familiarity with AWS security best practices and data privacy regulations
• Exceptional communication skills with a proven ability to collaborate across technical and business teams

Pay Range

USD $95,060.00 - USD $135,800.00 /Yr.