Data Platform Engineer, Senior

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Alexandria, VASt. Louis, MO
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
10 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $127k
$61k $229k
below market most similar roles pay here above market

This role pays less than 88% of similar roles. Most pay $148,650–$213,200 — the blue band above. At the midpoint, this role pays about $127k versus about $181k 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 1828 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 894 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Platform Engineer, Senior

The Data Platform Engineer, Senior joins the team to develop, manage, and secure a container platform that leverages cloud capabilities. You will build container management software to solve complex client challenges, ensuring seamless orchestration and secure adoption of containers. Your daily responsibilities include informing strategy, designing architecture, and maintaining standards throughout the containerization process. You will utilize Python, AWS, Docker, Kubernetes, Helm, and AWS EKS to support critical cloud platforms. Key technical skills include Infrastructure-as-Code using Terraform or CloudFormation, and managing CI/CD pipelines across various environments. You will also maintain scalable data stores for big data analysis. This role requires a TS/SCI clearance with a polygraph and experience in designing enterprise-scale data platforms and data-intensive applications within AWS environments.

What you'll do

  • Develop, manage, and secure container management software and platforms using cloud capabilities.
  • Architect and support scalable, resilient, and secure data platforms within AWS environments.
  • Develop and maintain scalable data stores to supply big data for business analysis.
  • Create and maintain Infrastructure-as-Code (IaC) using frameworks like Terraform or CloudFormation.
  • Build and support CI/CD pipelines across development, testing, staging, and production environments.
  • Deploy and operate containerized applications using Docker, Kubernetes, Helm, or AWS EKS.
  • Lead architecture decisions and communicate technical solutions to stakeholders.
  • Recommend resources to help clients securely adopt and manage container technologies.

What we're looking for

  • 5+ years of experience designing, developing, operationalizing, and maintaining enterprise-scale data platforms and data-intensive applications.
  • 5+ years of experience architecting and supporting cloud-based data platforms within AWS environments.
  • 5+ years of experience developing and maintaining scalable data stores for big data business analysis.
  • Experience developing and maintaining Infrastructure-as-Code (IaC) using frameworks such as Terraform or CloudFormation.
  • Experience building and supporting CI/CD pipelines and deployment processes across all environments.
  • Experience developing applications in Python.
  • Experience deploying and operating containerized applications using Docker, Kubernetes, Helm, or AWS EKS.
  • TS/SCI clearance with a polygraph.
  • HS diploma or GED.
  • Experience with Databricks, Apache Spark, Delta Lake, Snowflake, or other modern cloud-native data platforms (preferred).
  • Experience creating and improving continuous automation across infrastructure, platform, and application technology stacks (preferred).
  • Experience working with modern DevOps toolchains including Git, GitLab, and Terraform (preferred).
  • Knowledge of cloud-native architectures and modernization frameworks (preferred).
  • Bachelor's degree in CS, Information Systems, Engineering, Data Science, or a related technical field (preferred).
  • AWS Solutions Architect, AWS DevOps Engineer, AWS SysOps Administrator, Databricks, Kubernetes, or similar Industry Certification (preferred).

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