This role pays less than
90%
of similar roles. Most pay
$126,800–$211,200
— the shaded band above.
At the midpoint, this role pays about
$102k
versus about
$169k
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
821 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 799 roles with salary data.
As a Mid-Level Data Engineer, you will join a large cross-functional team of specialists in data engineering, AI, and governance to design, build, and optimize pipelines that transform raw data into meaningful outcomes for a Fortune 500 client program. You will be responsible for scaling data platforms while integrating new AI technologies and expanding DataOps and MLOps capabilities. Your daily work involves developing scalable ETL and ELT workflows for analytics and reporting using Databricks, PySpark, SQL, Python, C++, and Java. The role requires expertise in big data technologies, distributed processing frameworks like Spark, and cloud data architecture. You may also utilize Unity Catalog, notebooks, medallion data architecture, and Delta Lake to solve complex data challenges and manage the flow of information from disparate sources into organized systems.
What does a Data Engineer earn in Virginia?
Median $211200 from 87 postings across 7 companies.
Design, build, and optimize data pipelines to transform raw data into actionable insights.
Develop scalable ETL and ELT workflows for analytics and reporting purposes.
Utilize Databricks, PySpark, and SQL to scale and manage large-scale data platforms.
Integrate new AI technologies into existing data systems.
Expand DataOps and MLOps capabilities within the organization.
Manage data architecture using components like Unity Catalog, Delta Lake, and medallion architecture.
What we're looking for
Bachelor's degree in Computer Science or Computer Engineering (preferred).
3+ years of experience building scalable ETL and ELT workflows for analytics and reporting.
3+ years of experience with Python and SQL.
3+ years of experience with big data technologies, including Databricks and distributed processing frameworks such as Spark.
2+ years of experience with cloud data technologies and architecture.
2+ years of experience with programming languages including C++, Java, or Python.
Experience delivering solutions in a collaborative, cross-functional team environment; Agile experience, AI/ML workflows, and specific Databricks components (preferred).
Python
Oracle SQL
Cassandra
Linux
Git
Data Pipelines
MLOps
Machine Learning
Data Architecture
SQL
NoSQL
Data Visualization
Business Intelligence
STDF
Software Engineering
Data Engineering