ETL Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$62,000–$141,000 / yr
Employment
Full-time
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k
This role $102k
$45k $222k
below market most similar roles pay here above market

This role pays less than 92% of similar roles. Most pay $127,753–$202,800 — the blue band above. At the midpoint, this role pays about $102k versus about $165k 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 1504 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 918 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · ETL Data Engineer

The ETL Data Engineer joins the team to build advanced technology solutions and implement data engineering activities for mission-driven projects. The role involves developing and deploying pipelines and platforms that organize disparate data into meaningful information. Key responsibilities include identifying potential risks, contributing to solution development, and creating automated, efficient systems for clients. The successful candidate will utilize skills in relational databases, SQL, and scripting languages to automate tasks, write custom transformations, and build scalable ETL pipelines. Core competencies include data modeling principles, data quality concepts, and experience with unstructured datastores or metadata stores. Preferred technical skills include Oracle, specific ETL tools, and AWS or Azure Data Engineer certifications. This role requires a TS/SCI clearance with a polygraph to handle classified information.

What you'll do

  • Develop and deploy pipelines and platforms to organize disparate data into meaningful formats.
  • Build efficient and scalable ETL pipelines to process large datasets.
  • Write custom transformations and interfaces using scripting languages to automate tasks.
  • Implement data modeling principles and data quality concepts across systems.
  • Manage relational databases and perform complex SQL queries.
  • Identify potential risks and contribute to the development of technical solutions.
  • Create automated, efficient, and effective systems for diverse client needs.

What we're looking for

  • TS/SCI clearance with a polygraph is required.
  • High school diploma or GED is required.
  • 5+ years of experience with relational databases and SQL is required.
  • Experience with scripting languages to automate tasks, including writing custom transformations and interfaces is required.
  • Experience building efficient and scalable ETL pipelines is required.
  • Experience with data modeling principles and data quality concepts is required.
  • Experience with Oracle (preferred).
  • Experience with ETL tools (preferred).
  • Experience with metadata stores with pointers to unstructured content (preferred).
  • Experience with unstructured datastores (preferred).
  • Ability to work as part of a team (preferred).
  • Possession of excellent corporate communication skills (preferred).
  • AWS Data Engineer or Azure Data Engineer Certification (preferred).

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