Job Title: Senior IT Data Engineer
Location: Washington, DC (Hybrid)
Type: Contract
Job Description:
We are seeking a highly skilled Senior IT Data Engineer to design, implement, and manage modern cloud and hybrid data systems in a mission-critical environment. The ideal candidate will bring deep experience in cloud-native data platforms, infrastructure as code (IaC), and hybrid architectures integrating both cloud and on-premises solutions.
Responsibilities:
Design, develop, and maintain scalable data solutions using Amazon Aurora, Snowflake, Databricks, and Amazon Redshift
Implement Infrastructure as Code using Terraform and AWS CloudFormation to automate provisioning and configuration
Manage hybrid data ecosystems combining cloud platforms with on-premises databases such as Microsoft SQL Server
Optimize data models, warehouses, lakes, and pipelines for performance, scalability, and cost-efficiency
Collaborate with DevOps, Data Science, and Business Intelligence teams to deliver reliable and secure data products
Required Qualifications:
7+ years of experience working in production environments with cloud data platforms, data lakes, warehouses, and data pipelines
Strong hands-on experience with RDBMS, NoSQL databases, and modern data architecture
Proficiency in AWS cloud services related to data engineering
Expertise in both cloud-native and hybrid data systems
Solid background in scripting, automation, and performance optimization
Bachelor's degree or higher in Computer Science, Mathematics, Engineering, or related fields
Preferred Certifications:
AWS Certified Solutions Architect – Associate/Professional
AWS Certified Data Analytics – Specialty or Data Engineer – Associate
AWS Certified Developer – Associate