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# Databricks Lakehouse Engineer and Analyst, Mid

- **Company:** Booz Allen Hamilton Inc.
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Salary:** $77,600.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Distributed Data Store, Fraud Prevention and Detection, R (Programming Language), Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), Machine Learning, MySQL, Natural Language Processing, NoSQL, SQL Databases, Systems Integration, Text Mining, Unstructured Data, Apache Spark, Electronic Medical Records, SC Clearance, Data Lakes, Pyspark, Plotly, Apache Kafka, Databricks
- **Published:** September 19, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9178418/databricks-lakehouse-engineer-and-analyst-mid

## About the Role

* 4+ years of experience in data engineering, analytics engineering, or ML engineering
 * Experience with Databricks, Delta Lake, and PySpark
 * Experience with structured streaming and medallion architecture
 * Experience supporting fraud analytics, risk scoring, or anomaly detection
 * Experience working independently in a fast-moving, high-impact environment
 * Knowledge of Unity Catalog governance and access controls, and text mining or ML techniques
 * Knowledge of ML, AI, or Natural Language Processing ( NLP )
 * Ability to collaborate with fraud operations and technical stakeholders
 * Secret clearance
 * Bachelor's degree

Nice If You Have:

 * 3+ years of experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
 * 3+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
 * 2+ years of experience with ML, AI, or NLP
 * Experience with visualization packages, including Plotly, Seaborn, or ggplot2
 * Possession of strong communication skills, for both technical and non-technical audiences
 * Possession of strong problem-solving skills
 * Master's degree

## Description

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning ( ML ) , and artifi cia l intelligence ( AI ) . In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data.

Our U.S. government agency client is building a modern Databricks Lakehouse environment to support real-time fraud detection, investigative analytics, and AI-driven risk insights. We are seeking a hands-on, versatile Databricks engineer who can contribute across data engineering, functional analysis, governance, and model integration in a federal environment.

This role combines responsibilities across data engineering, platform configuration, fraud analytics enablement, and stakeholder coordination.


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