This role pays less than
86%
of similar roles. Most pay
$136,275–$197,775
— the shaded 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
1388 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 844 roles with salary data.
JOB TITLE: Data Engineer, Senior
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. Your daily work involves automating large-scale batch and streaming data workflows, parsing structured and unstructured data, and performing tuning on data lake architecture to optimize cloud storage. You will utilize technologies including Postgres, SQL, Python, Scala, Spark, Java, Apache NiFi, and Databricks. The role addresses critical technical problems in fraud detection, cancer research, and national intelligence by implementing data management solutions that handle data catalogs, governance policies, lifecycle management, and federal information system policies like NIST 800.53 and FISMA.
What does a Data Engineer earn?
Median $162000 from 188 postings across 59 companies.
Design, build, and maintain scalable data platforms and data warehouse architectures.
Develop and deploy ETL/ELT pipelines for large-scale batch and streaming data workflows.
Parse and organize structured, unstructured, and event-streaming data from disparate sources.
Perform tuning on data lake architectures to optimize cloud storage and pipeline performance.
Manage data cataloging, usage, governance policies, and lifecycle management.
Automate continuous integration and deployment pipelines using tools like Jenkins or GitHub.
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.
6+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems.
Experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data.
Experience coding in software programming languages including Postgres, SQL, Python, Scala, Spark, or Java.
Experience using Apache Spark, Apache NiFi, or Databricks.
Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance.