Data Engineer

Booz Allen Hamilton•Fort Meade, MD

22h•$77,600 - $176,000•Remote

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. Given the expansion of big data analytics, new challenges are emerging for the integration of data sets. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from cyber risk identification to acquisition programs to DOW mission decomposition. As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

4+ years of experience with Python, PySpark, SQL, and Databricks
2+ years of experience with data engineering and analytics, delivering actionable insights and performance metrics
2+ years of experience working within the Maven Smart System (MSS), developing or supporting mission-focused data workflows, applications, and analytic capabilities
Experience integrating, transforming, and validating data from multiple structured and semi-structured sources using APIs, SQL, and modern data engineering practices
Experience developing scalable data pipelines, data models, and data products that support operational planning, analytics, and executive decision-making
Experience working with large, complex datasets while ensuring data quality, performance, and reliability
Ability to communicate complex technical concepts clearly and effectively to technical teams, operators and executive stakeholders
TS/SCI clearance
Bachelor’s degree

Nice To Haves

Experience using DoD data platforms such as Advana and Qlik for data integration, ingestion, and visualization
Experience with the Defense Acquisition Visibility Environment (DAVE)
Experience documenting data analytics processes and maintaining reproducible analytic methods
Experience engaging data owners to establish sharing agreements that enable the establishment of data pipelines
Experience applying machine learning or natural language processing to operational or intelligence data
Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners
Experience developing data governance frameworks and standards
Knowledge of cybersecurity data and analytics

Responsibilities

Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.
Integrate, transform, and validate data from multiple structured and semi-structured sources using APIs, SQL, and modern data engineering practices.
Develop scalable data pipelines, data models, and data products that support operational planning, analytics, and executive decision-making.
Ensure data quality, performance, and reliability when working with large, complex datasets.
Communicate complex technical concepts clearly and effectively to technical teams, operators and executive stakeholders.