BigID Data Engineer

Booz Allen Hamilton•McLean, VA

8d•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. 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 fraud detection to cancer research to national intelligence. 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

3+ years of experience with data pipelines, including data acquisition, data tagging, and data integration
3+ years of experience in ETL development using SQL, Java, or Python
3+ years of experience processing a variety of data, including structured semi-structured and unstructured
Experience with BigID
Experience with AWS services
Experience applying ML models for classification
Secret clearance
HS diploma or GED

Nice To Haves

Experience with Databricks
Experience with big data ecosystems
Experience with Infrastructure-as-Code tools such as Terraform or Ansible
Experience with Agile development methodologies
Experience working on real-time data and streaming applications
Ability to pay strict attention to detail
Possession of excellent problem-solving and analytical skills
TS/SCI clearance
Bachelor's degree in an IT-related field

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.