Data Engineer, Senior

Booz Allen Hamilton•Huntsville, AL

11d•$77,500 - $176,000

About The Position

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.

Requirements

5+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems
5+ years of experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data
5+ years of experience with coding in software programming languages, including SQL, Python, Scala, Spark, or Java
Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance
Experience with data management solutions that address aspects of data catalog, data usage, governance policies, and lifecycle management
Top Secret clearance
Bachelor’s degree and 6+ years of experience designing, developing, operationalizing, and maintaining data systems, or 10+ years of experience designing, developing, operationalizing, and maintaining data systems in lieu of a degree

Nice To Haves

3+ years of experience architecting and designing large-scale enterprise data and analytics systems
3+ years of experience using and developing data systems with AWS and Microsoft Azure cloud data products such as AWS EMR, AWS Glue, Azure Dataverse, Azure Data Factory, and Power Apps
Experience with distributed data or computing tools, including Apache Spark, Apache NiFi, AirFlow, Databricks, Snowflake, Redshift, or BigQuery
Experience with federal information system policies, including NIST 800.53 and FISMA, data security, access controls, and data protection techniques
Experience creating and improving continuous automation across multiple technical stacks, and automating CD/CD pipelines with tools such as Jenkins or GitHub
Experience with NoSQL database such as Elasticsearch, Solr, MongoDB, or Cosmo DB
Experience with AI or ML pipelines and processes
TS/SCI clearance with a polygraph
Master’s degree

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.