Senior Data Engineer – AWS Data Lake & Pipeline Architecture

About This Opportunity

We are representing a confidential technology organization in their search for a Senior Data Engineer to support the development and operation of a comprehensive Data Intelligence Platform. This role focuses on cloud-based data infrastructure, pipeline automation, and data modeling to support analytics, reporting, and data science initiatives across the organization.

Location: Remote (Anywhere in the World)

Employment Type: Full-time

Responsibilities

As a Senior Data Engineer, you will:

• Design and implement high-performance, scalable data solutions within AWS-based cloud architecture
• Create and optimize data models using strong SQL fundamentals and best practices
• Build and automate deployment of data pipelines and ETL processes
• Integrate data from on-premise databases and external sources using REST APIs and harvesting tools
• Manage and optimize database performance, security, and availability
• Work with AWS services including EMR, ECS, Glue, and Kinesis to build robust data infrastructure
• Collaborate with data science teams and business units on data access, transformation, and reporting requirements
• Support provisioning, monitoring, and configuration of AWS resources and clusters
• Implement Infrastructure as Code using Terraform and maintain CI/CD workflows with Jenkins
• Contribute to data governance, access control, and security risk reduction initiatives
• Prepare technical documentation and specifications for data solutions
• Handle database procedures including upgrades, backups, recovery, and migration

What We're Looking For

Required Experience and Skills:

• 7-9 years of experience designing and developing cloud-based data models, ETL pipelines, and infrastructure
• Strong proficiency with SQL across multiple popular databases
• Demonstrated experience optimizing large, complex SQL statements and database performance
• Hands-on experience with Apache Spark, AWS Glue, EMR, and streaming technologies (Apache Kafka or AWS Kinesis)
• Programming proficiency in Java, Python, and Scala
• Experience working with both structured and unstructured data at scale
• Knowledge of version control systems (Git or Subversion)
• Experience with automated build systems and CI/CD workflows
• Understanding of data structures and algorithms
• Familiarity with multiple database types: relational, NoSQL, graph, document, key-value, and time-series
• Knowledge of scalable data model design and management principles
• Understanding of ML model deployment processes
• Knowledge of AWS cloud platforms and services
• Familiarity with TDD and BDD methodologies
• Strong troubleshooting skills for common database issues
• Ability to plan resource requirements from high-level specifications
• Genuine interest in advancing software development skills and exploring new technologies

How We Work With You

Get A Job.ai is managing this search on behalf of our client. Here's our process:

• Submit your application through the Get A Job.ai platform
• Our talent team will review your qualifications and conduct an initial screening
• Qualified candidates will be presented directly to our client for consideration
• We'll coordinate all communication and next steps throughout the interview process
• Please do not contact the client directly—all applications must come through Get A Job.ai

Pay

Compensation details will be discussed during the screening process and are competitive with market rates for this level of experience.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds and work with our clients to ensure fair and equitable recruiting processes.