Senior Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quantico, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $127k
$62k most similar roles pay here $225k

This role pays less than 82% of similar roles. Most pay $140,000–$196,850 — the shaded band above. At the midpoint, this role pays about $127k versus about $168k 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 1244 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 821 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Senior Data Engineer

As a Data Engineer, Senior, you will join a multi-disciplinary team in an agile environment to build advanced technology solutions and manage the assessment, design, construction, and maintenance of scalable platforms. You will develop pipelines and platforms that organize disparate data into meaningful insights for mission-driven projects involving fraud detection, cancer research, and national intelligence. Your daily work involves building scalable ETL or ELT pipelines, automating large-scale batch and streaming workflows, and performing tuning on data lake architecture to optimize cloud storage performance. The role requires proficiency in Python, SQL, Scala, Java, Spark, NiFi, Databricks, and Postgres. You will also utilize tools such as Airflow, Snowflake, Redshift, BigQuery, and various NoSQL databases like MongoDB or Elasticsearch while navigating complex data management solutions including governance policies and lifecycle management for structured and unstructured data.

What does a Data Engineer earn in Virginia?

Median $155450 from 60 postings across 7 companies.

See salary data

What you'll do

  • Design and develop scalable data warehouse and data lake architectures.
  • Build and maintain automated ETL/ELT pipelines for batch and streaming data workflows.
  • Parse and organize structured, unstructured, and event-streaming data from disparate sources.
  • Perform tuning on data lake architecture to optimize cloud storage and pipeline performance.
  • Manage data governance policies, including cataloging, usage tracking, and lifecycle management.
  • Develop and maintain high-performance systems using Python, SQL, Spark, or Java.
  • Implement advanced technical solutions for mission-critical projects like fraud detection and research.

What we're looking for

  • Top Secret clearance is required.
  • A Bachelor's degree and 8 years of experience in data systems are required, or 12 years of experience in lieu of a degree.
  • 6+ years of experience designing data warehouses, data lakes, RESTful API models, event processing, or business intelligence for software systems.
  • Experience building scalable ETL/ELT pipelines and automating large-scale batch and streaming data workflows.
  • Proficiency in programming languages including Postgres, SQL, Python, Scala, Spark, or Java.
  • Experience with Apache Spark, Apache NiFi, or Databricks.
  • Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance.
  • Experience with data management solutions for cataloging, usage, governance, and lifecycle management.
  • 4+ years of experience architecting large-scale enterprise data systems (preferred).
  • 4+ years of experience using AWS or Microsoft Azure cloud data products (preferred).
  • Experience with distributed tools like AirFlow, Snowflake, Redshift, or BigQuery (preferred).
  • Experience with federal information system policies such as NIST 800.53 and FISMA (preferred).
  • Experience with CI/CD pipelines using Jenkins or GitHub (preferred).
  • Experience with NoSQL databases like Elasticsearch, MongoDB, or Cosmo DB (preferred).
  • Experience with AI or ML pipelines (preferred).
  • TS/SCI clearance with a polygraph (preferred).
  • Master's degree (preferred).

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