AWS Streaming Data Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Springfield, VAMcLean, VAChantilly, VAReston, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k
This role $127k
$63k $213k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $135,000–$198,875 — the blue band above. At the midpoint, this role pays about $127k versus about $167k 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 1724 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AWS Streaming Data Engineer

The AWS Streaming Data Engineer joins the engineering team to develop end-to-end streaming solutions within a fast-paced, agile environment. This role involves building software and systems from initial vision to production-ready status, specifically focusing on real-time data ingestion and processing across distributed environments. The engineer will design and deploy production geospatial solutions, manage ETL or ELT pipelines, and handle API design for distributed streaming systems. Key technical requirements include proficiency with AWS services like ECS, EKS, Lambda, SQS, SNS, EC2, RDS, and DynamoDB, alongside Infrastructure-as-Code tools such as AWS CDK, Terraform, or CloudFormation. Candidates must also possess experience with Apache Kafka, geospatial data, and network security. The work addresses complex technical challenges involving scalable, reliable architecture for high-performance streaming data.

What you'll do

  • Develop end-to-end real-time data ingestion and processing systems across distributed environments.
  • Build and maintain ETL or ELT pipelines using various AWS services.
  • Design and version APIs for distributed streaming systems, specifically utilizing Apache Kafka.
  • Deploy production-ready geospatial solutions from the initial concept through to operations and maintenance.
  • Implement Infrastructure-as-Code using tools such as AWS CDK, Terraform, or CloudFormation.
  • Configure cloud-native architecture components including ECS/EKS, Lambda, SQS, SNS, and DynamoDB.
  • Create and manage IAM policies, security groups, and network security configurations.
  • Develop dashboards and monitoring systems to track the performance of streaming services.

What we're looking for

  • 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, including AWS CDK, Terraform, or CloudFormation.
  • Experience with ETL or ELT pipeline development using AWS services.
  • Experience with API design and versioning for distributed streaming systems, including Apache Kafka.
  • Experience developing and deploying production geospatial solutions from concept to O&M.
  • Bachelor's degree.

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