Position Details

Salary $99K – $225K USD / year

Type Not Specified

Experience mid

Exp. Years 5+ years

Education Bachelor's degree

Category Data & Analytics

About this role

Data Engineer at Booz Allen builds and optimizes data pipelines and analytics platforms for mission-driven projects, leveraging IoT, ML/AI, and NLP to turn disparate data into actionable insights.

Key Responsibilities

Design, develop, and maintain data pipelines
Work with data scientists to turn data into models
Build and manage a data catalog with API integration and OAuth2 security
Collaborate with stakeholders to collect requirements
Ensure data quality and performance across data environments

Technical Overview

Stack includes Databricks and Qlik; emphasis on Python/SQL, data exploration/cleaning/visualization, ML/NLP, and data catalog management with security considerations (OAuth2).

Ideal Candidate

The ideal candidate is a senior data engineer with 5+ years building data pipelines (batch and streaming), strong Python/SQL skills, and experience with Databricks and Qlik. They should be comfortable with cross-functional teams, data catalogs, and security considerations (OAuth2).

Must-Have Skills

DatabricksQlikPythonSQLNLP or MLSecret clearanceBachelor's degreestakeholder requirements

Nice-to-Have Skills

Palantir FoundryPublic cloud (AWS/Azure/GCP)DockerKubernetesCI/CD

Tools & Platforms

DatabricksQlikPythonSQLPalantir FoundryDockerKubernetesCI/CDAWSAzureGoogle Cloud Platform

Required Skills

Data engineerdata scientistIoTmachine learningartificial intelligenceDatabricksQlikPythonSQLStructured dataUnstructured dataNatural Language ProcessingText miningMachine learningSecret clearanceBachelor's degreestakeholder requirementsdata catalogAPIsOAuth2

Hard Skills

DatabricksQlikPythonSQLStructured Query LanguageData explorationData cleaningData analysisData visualizationData miningStructured dataUnstructured dataNatural Language ProcessingText miningMachine learningSecret clearanceBachelor's degreestakeholder requirements

Soft Skills

communicationcollaborationproblem solvinganalytical thinkingteam leadership

Industry & Role

Industry Consulting

Job Function Build and optimize data pipelines and platforms to enable data-driven decision making.

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL, Databricks, Qlik, Docker, Kubernetes, Amazon Web Services, Microsoft Azure, Google Cloud Platform

Keywords for Your Resume

data engineerdata scientistIoTmachine learningartificial intelligenceDatabricksQlikPythonSQLStructured dataUnstructured dataNatural Language ProcessingText miningMachine learningSecret clearanceBachelor's degreestakeholder requirementssystems analysisintegrationdata integritydata explorationdata qualitydata catalogData EngineerData explorationData analysisData visualization

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile