AWS Streaming Data Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Springfield, VAMcLean, VAChantilly, VAReston, VA
Salary
$77,600–$176,000 / yr
Posted
71 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 29, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $127k
$62k most similar roles pay here $227k

This role pays less than 80% of similar roles. Most pay $137,725–$211,200 — the shaded band above. At the midpoint, this role pays about $127k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AWS Streaming Data Engineer

As an AWS Streaming Data Engineer, you will join the team to develop end-to-end streaming solutions and systems from initial vision to production-ready states. You will be responsible for building real-time data ingestion and processing systems across distributed environments while identifying necessary system improvements and ensuring architectural scalability. The role involves developing ETL or ELT pipelines, designing and versioning APIs for distributed streaming systems, and deploying production geospatial solutions. Key technologies include AWS services such as ECS, EKS, Lambda, SQS, SNS, EC2, RDS, DynamoDB, and IAM policies. You will utilize Infrastructure-as-Code tools like AWS CDK, Terraform, or CloudFormation to manage cloud-native architectures. The work focuses on solving complex technical challenges involving geospatial data processing and managing high-scale streaming services within a secure environment requiring an active TS/SCI clearance.

What you'll do

  • Develop end-to-end real-time data ingestion and processing systems in distributed environments.
  • Build and maintain ETL/ELT pipelines using various AWS services.
  • Design and version APIs for distributed streaming systems including Apache Kafka.
  • Implement Infrastructure-as-Code using tools like AWS CDK, Terraform, or CloudFormation.
  • Develop and deploy production-ready geospatial solutions from initial concept to operations.
  • Manage cloud-native architecture components including ECS/EKS, Lambda, SQS, SNS, and DynamoDB.
  • Create dashboards and monitoring systems to track the performance of streaming services.
  • Ensure all developed solutions meet security requirements and architectural standards for future scalability.

What we're looking for

  • Bachelor's degree required.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • 5+ years of experience in software with a cloud-first development approach.
  • 4+ years of experience with enterprise data engineering development, including geospatial data.
  • 3+ years of experience with AWS services and cloud-native architecture patterns.
  • 3+ years of experience with Infrastructure-as-Code tools like AWS CDK, Terraform, or CloudFormation.
  • Experience with ETL/ELT pipeline development and API design for distributed streaming systems using Apache Kafka.
  • Experience developing and deploying production geospatial solutions from concept to operations and maintenance.

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