Data Engineer, Mid – Mission‑Driven, TS/SCI

Booz Allen Hamilton; Alexandria (VA); On-site; USD 62,000 - 141,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Job summary

Booz Allen Hamilton is seeking a Data Engineer to transform data from disparate sources for mission-driven projects. The role requires 2+ years of Python, ETL experience, API querying, and the ability to build dashboards and data visuals.

You will develop pipelines and platforms, collaborate with analysts, developers, and data consumers in an agile environment, and support the assessment, design, development, and maintenance of scalable data platforms for clients.

Qualifications

• 2+ years of experience using Python.
• Experience using data manipulation and ETL procedures.
• Experience leveraging APIs to query systems.
• Experience developing data visualizations, dashboards, or lightweight Web applications to communicate insights.
• Experience communicating information to audiences with varying technical knowledge.
• Experience creating software for retrieving, parsing, and processing structured and unstructured data.

Responsibilities

• Develop and deploy data pipelines and platforms that organize and make disparate data meaningful.
• Support assessment, design, development, and maintenance of scalable data platforms for clients.
• Work with a multi-disciplinary team in a fast-paced, agile environment to derive insights.
• Translate data findings into actionable recommendations for mission-driven projects.

Skills

Python

ETL

APIs

Data visualization

Communication

Data processing

Collaborative team

Root cause analysis

TS/SCI clearance

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics

Job description

Booz Allen Hamilton is seeking a Data Engineer to transform data from disparate sources for mission-driven projects. The role requires 2+ years of Python, ETL experience, API querying, and the ability to build dashboards and data visuals.

You will develop pipelines and platforms, collaborate with analysts, developers, and data consumers in an agile environment, and support the assessment, design, development, and maintenance of scalable data platforms for clients.