Data Engineer

Booz Allen Hamilton•Atlanta, GA

17h•Remote

About The Position

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 supporting clinical decision-making to accelerating public health modernization. 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, clinical SMEs, 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 PySpark and SQL
3+ years of experience with Azure Databricks
3+ years of experience retrieving, parsing, and processing structured and unstructured data
3+ years of experience building scalable ETL or ELT workflows for reporting and analytics
Experience supporting collaborative, cross-functional technical teams
Ability to communicate complex analytic concepts to clinical and public health stakeholders
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor’s degree

Nice To Haves

Experience with FHIR-based data and large-scale data processing
Experience with R, Scala, or Java
Experience with UNIX or Linux, and Shell scripting
Experience with public cloud platforms such as AWS, Azure, and GCP
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, EMR, and Kafka
Experience working with real-time or streaming data systems
Experience with NoSQL tools such as MongoDB and Cassandra
Experience with data warehousing, including Redshift, MySQL, and Snowflake
Experience with Agile methodologies
Knowledge of EHR or Health IT systems

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, clinical SMEs, developers, and data consumers in a fast-paced, agile environment.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.
Develop scripts and programs for converting various types of data into usable formats.
Support the team in scaling, monitoring, and operating data platforms.