Data Engineer, Senior

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Huntsville, AL
Salary: $77,500–$176,000 / yr
Employment: Full-time
Posted: 59 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $161k

This role $127k

$63k $216k

below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $126,800–$195,109 — the blue band above. At the midpoint, this role pays about $127k versus about $161k 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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer, Senior

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The Data Engineer, Senior joins a multi-disciplinary team of analysts, developers, and data consumers to build advanced technology solutions for mission-driven projects. You will manage the assessment, design, building, and maintenance of scalable platforms while deploying pipelines that organize disparate data into meaningful insights. Key responsibilities include developing ETL or ELT data pipelines, automating large-scale batch and streaming workflows, and performing tuning on data lake architecture to optimize cloud storage. You will utilize SQL, Python, Scala, Spark, or Java, alongside tools like AWS EMR, Glue, Azure Data Factory, Databricks, Snowflake, and Redshift. The role addresses complex technical problems in fraud detection, cancer research, and national intelligence, requiring expertise in data governance, RESTful API models, and federal information system policies like NIST 800.53.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

Skills

SQL Python Scala Java Apache Spark AWS Microsoft Azure Snowflake Redshift BigQuery Databricks Apache NiFi Airflow Jenkins GitHub ETL ELT NoSQL Elasticsearch MongoDB RESTful API Machine Learning Data Warehouse Data Lake

What you'll do

Build and deploy scalable ETL/ELT data pipelines for batch and streaming data workflows.
Design, build, and maintain scalable data warehouse or data lake platforms.
Develop and organize pipelines to transform disparate data sources into meaningful insights.
Perform tuning on data lake architecture to optimize cloud storage and pipeline performance.
Manage data cataloging, usage, governance policies, and lifecycle management.
Code data systems using SQL, Python, Scala, Spark, or Java.
Automate continuous deployment pipelines and large-scale data workflows.
Implement data engineering activities for mission-driven projects including fraud detection and research.

What we're looking for

Top Secret clearance.
Bachelor’s degree and 8+ years of experience designing, developing, operationalizing, and maintaining data systems.
12+ years of experience designing, developing, operationalizing, and maintaining data systems in lieu of a degree.
5+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems.
5+ years of experience building scalable ETL or ELT data pipelines and automating large-scale batch and streaming data workflows.
5+ years of experience coding in SQL, Python, Scala, Spark, or Java.
Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance.
Experience with data management solutions addressing data catalog, usage, governance policies, and lifecycle management.