Databricks Lakehouse Engineer and Analyst, Mid

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: McLean, VA
Employment: Full-time
Posted: 91 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $167k

$115k $218k

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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.

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At a glance

TL;DR · Databricks Lakehouse Engineer and Analyst, Mid

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The Databricks Lakehouse Engineer and Analyst, Mid will join a team supporting a U.S. government agency client to build a modern Databricks Lakehouse environment. This role involves data engineering, platform configuration, fraud analytics enablement, and stakeholder coordination to support real-time fraud detection, investigative analytics, and AI-driven risk insights. The successful candidate will work with structured streaming, medallion architecture, and Unity Catalog governance. Required technical skills include Databricks, Delta Lake, PySpark, and experience with fraud analytics, risk scoring, or anomaly detection. Knowledge of ML, AI, NLP, and text mining is essential. Candidates should also possess experience with R, Python, SQL, NoSQL, and distributed computing tools like Spark, Kafka, or Hadoop. This position requires a Secret clearance and a Bachelor’s degree to solve complex federal data challenges.

Skills

Databricks Delta Lake PySpark SQL Python Spark Kafka Hadoop Hive EMR MySQL NoSQL Unity Catalog NLP Machine Learning Plotly Seaborn ggplot2 MapReduce Structured Streaming

What you'll do

Build and maintain a modern Databricks Lakehouse environment for real-time fraud detection.
Develop data pipelines using PySpark, Delta Lake, and medallion architecture.
Implement structured streaming to support real-time investigative analytics.
Configure Unity Catalog for data governance and access controls.
Integrate machine learning models and NLP techniques into the data platform.
Develop algorithms for risk scoring and anomaly detection.
Coordinate with fraud operations and technical stakeholders to deliver data insights.

What we're looking for

3+ 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.
Knowledge of Unity Catalog governance, access controls, and text mining or ML techniques.
Knowledge of ML, AI, or Natural Language Processing (NLP).
Bachelor’s degree.

Data Scientist

Booz Allen Hamilton

Arlington, VA +2 68 days ago

Machine Learning Artificial Intelligence Natural Language Processing Python R SQL NoSQL Databricks Apache Spark Hadoop Kafka Hive EMR MapReduce MySQL Palantir Foundry Plotly Seaborn ggplot2 Gurobi Data Mining

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