Data Engineer for AI-Driven Analytics & Pipelines

Booz Allen Hamilton; Rhineland (MO); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to help transform vast data into actionable insights on mission-focused projects. You will design, deploy, and maintain data pipelines and analytic solutions across disciplines in a fast-paced, Agile environment.

Qualified candidates have 3+ years in data engineering or related fields, experience with Python/SQL/Scala/R and visualization tools, a Bachelor's degree, TS/SCI clearance, and willingness to travel up to 25%.

Qualifications

• 3+ years of experience in data engineering, application development, or data science
• 3+ years designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale
• 3+ years of experience with Python, SQL, Scala, or R
• 2+ years of experience with data visualization tools such as Tableau, Qlik, Power BI, or ArcGIS
• Experience collaborating in a cross-functional team environment
• Ability to travel up to 25% of the time
• TS/SCI clearance
• Bachelor's degree

Responsibilities

• Design, deploy, and maintain data pipelines and analytic solutions for clients
• Guide and collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers
• Organize data from disparate sources to yield meaningful insights for mission-focused applications
• Apply analytical exploration and data examination to develop production-grade AI-enabled solutions
• Support and maintain data architectures and processes in a fast-paced, agile environment

Skills

Data engineering

Cross-functional team

Python/SQL/Scala/R

Tableau

Power BI

ArcGIS

Travel eligibility

Education

Bachelor's degree

Tools

Tableau

Qlik

Power BI

ArcGIS

Job description

Booz Allen Hamilton is seeking a Data Engineer to help transform vast data into actionable insights on mission-focused projects. You will design, deploy, and maintain data pipelines and analytic solutions across disciplines in a fast-paced, Agile environment.

Qualified candidates have 3+ years in data engineering or related fields, experience with Python/SQL/Scala/R and visualization tools, a Bachelor's degree, TS/SCI clearance, and willingness to travel up to 25%.