Databricks Lakehouse Engineer and Analyst, Mid

Databricks Lakehouse Engineer and Analyst, Mid

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 artificial 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.

Work with us as we use data science for good.

Join us. The world can’t wait.

• 3+ years of experience in data engineering, analytics engineering, or ML engineering
• Experience with Databricks, Delta Lake, and Py Spark
• 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
• Public Trust
• Bachelor’s degree

• 2+ years of experience in the development of algorithms leveraging R, Python, SQL, or No
  
  SQL
• 2+ years of experience with distributed data or computing tools, including Map Reduce, 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

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client;
Public Trust determination is required.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

• health
• life
• disability
• financial
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work‑life programs
• dependent care
• our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
• Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
• Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific…