Data Engineer, Senior

Booz Allen Hamilton•Huntsville, AL

7h•$77,500 - $176,000

About The Position

As a Senior Data Engineer at Booz Allen, you will build advanced technology solutions and implement data engineering activities on mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data and make it meaningful. You will also guide a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role involves analytical exploration and data examination, as well as managing the assessment, design, construction, and maintenance of scalable client platforms.

Requirements

At least 5 years of experience designing data warehouses or data lakes, RESTful API models, event processing, or business intelligence for software systems.
At least 5 years of experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming workflows, and parsing structured, unstructured, or event-streaming data.
At least 5 years of experience coding in software programming languages such as SQL, Python, Scala, Spark, or Java.
Experience tuning data lake architecture to optimize cloud storage and pipeline performance.
Experience with data management solutions addressing data catalogs, data usage, governance policies, and lifecycle management.
Active Secret clearance required.
Bachelor’s degree and at least 8 years of experience designing, developing, operationalizing, and maintaining data systems; alternatively, at least 12 years of that experience in lieu of a degree.

Nice To Haves

At least 3 years of experience architecting and designing large-scale enterprise data and analytics systems.
At least 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 such as 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 CI/CD pipelines with tools such as Jenkins or GitHub.
Experience with NoSQL databases such as Elasticsearch, Solr, MongoDB, or Cosmos DB.
Experience with AI or ML pipelines and processes.
TS/SCI clearance with a polygraph.
Master’s degree.

Responsibilities

Build advanced technology solutions and implement data engineering activities for mission-driven projects.
Develop and deploy pipelines and platforms to organize disparate data and make it meaningful.
Guide a multidisciplinary team of analysts, data engineers, developers, and data consumers.
Assess, design, build, and maintain scalable platforms for clients.
Perform analytical exploration and data examination.
Design and tune data lake architecture to optimize cloud storage and pipeline performance.
Build scalable ETL or ELT pipelines and automate large-scale batch and streaming data workflows.
Work with data management solutions covering data cataloging, usage, governance policies, and lifecycle management.