Data Engineer - AWS - SC Cleared

• Collaborate with a new data team to establish a secure, scalable, cloud-native data platform.
• Develop and maintain robust, governed, production-grade pipelines within a government-regulated environment.
• Utilize AWS-native tooling including Glue, S3, Step Functions, Lambda, and EventBridge.
• Implement data quality, monitoring, and validation frameworks.
• Support multidisciplinary collaboration across engineering, analytics, governance, and delivery.

Technologies:

• AWS
• Lambda
• Azure
• Cloud
• Databricks
• DevOps
• IAM
• Support
• SQL
• Security
• Spark
• Terraform

More:

We are SR2 Consulting, and we have an exciting new opportunity with a government department, looking to establish a new data capability from the ground up. Youll work in a modern, multi-cloud environment utilizing cutting-edge AWS-native tooling. This high-impact role focuses on enabling better intelligence, reporting, and operational decision-making while collaborating with a multidisciplinary team.

• Strong proficiency in AWS cloud-native data engineering, including Glue, S3, Step Functions, EventBridge, Lambda, SNS/SQS, IAM.
• Hands-on experience designing and building data pipelines across AWS and/or Azure (Azure Data Factory, Databricks, Spark).
• Strong SQL development skills and experience working with diverse datasets.
• Experience implementing data quality, monitoring, and validation frameworks.
• Proven ability to build scalable, secure, well-documented pipelines in cloud environments.
• Valid SC clearance.
• AWS certifications (advantageous).
• Experience with real-time event-driven patterns (e.g., EventBridge, Kinesis).
• Familiarity with modern DevOps/CI-CD tooling and Infrastructure as Code (Terraform, CDK).
• Experience supporting visualization and BI environments.
• Understanding of data governance, security baselines, and working within regulated environments.