Cloud Engineer- Data/AI Focused

Innovative Solutions•Washington, DC

36d

About The Position

We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions â spanning data engineering, machine learning infrastructure, and AI-driven applications â aligned with customer needs.

Requirements

Must have 1-3 years of experience with cloud technologies, preferably AWS
Must have AWS Certified Cloud Practitioner certification or ability to obtain within 3 months
Must have experience with SQL and at least one programming language (Python, Java, etc.)
Must have basic understanding of data engineering concepts and data lifecycle management
Must have familiarity with AWS data services such as S3, RDS, Glue, and Redshift
Must have understanding of data security and access control principles
Must have experience with version control systems (Git)
Must have knowledge of infrastructure as code concepts

Nice To Haves

Technical familiarity with AWS data services and modern data engineering practices
Hands-on experience with ETL/ELT processes and data transformation
Ability to write and optimize SQL queries across various database platforms
Knowledge of data modeling concepts and best practices
Strong analytical and problem-solving skills
Eagerness to learn new technologies and keep up with cloud innovations
Excellent communication skills with the ability to explain technical concepts clearly
Attention to detail and commitment to solution quality
Collaborative mindset with strong teamwork capabilities
Experience or interest in automation and infrastructure as code

Responsibilities

Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
Creating and maintaining data extraction, transformation, and loading processes
Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
Implementing data lakes using S3 and related AWS services
Writing and testing SQL queries and stored procedures
Documenting technical solutions and providing knowledge transfer to customers
Supporting the implementation of data governance and security controls
Troubleshooting and resolving issues with data pipelines and services
Participating in code reviews and implementing feedback
Assisting with proof-of-concept implementations for customer engagements