> Markdown version of [/jobs/ext/4703362-data-engineer](https://www.wearedevelopers.com/jobs/ext/4703362-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Huntsville, AL, United States - **Experience:** Experienced - **Salary:** $77,500 - $176,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Unix, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Linux, Distributed Data Store, Fraud Prevention and Detection, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Apache Maven, MongoDB, MySQL, NoSQL, Parsing, Scala (Programming Language), Scaled Agile Framework, Shell Script, Software Engineering, SQL Databases, Data Streaming, Unstructured Data, Google Cloud, Cloud Platform System, Snowflake, Palantir Foundry, Apache Spark, Cassandra, Real Time Data, Apache Kafka, Data Management, Amazon Elastic Mapreduce (EMR), Amazon Redshift, Databricks - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/data-engineer-huntsville-al--a407ef82-7c0e-482e-b5cc-73a86b32b807 ## About the Role Internet of Things, Unstructured Data, Machine Learning, Cancer, Artificial Intelligence (AI), Structured Data, Analysis Skills, Cross-Functional, Property Maintenance, Customer/Client Research, * 5+ years of experience in application development * 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale * 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data * 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics * Experience creating solutions within a collaborative, cross-functional team environment * Ability to develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms * TS/SCI clearance * Bachelor's degree and 5+ years of experience in data engineering, or 7+ years of experience in data engineering in lieu of degree Nice If You Have: * Experience with Maven Smart System or the Palantir Foundry Ecosystem * Experience with Python, SQL, Scala, or Java * Experience with UNIX and Linux, including basic commands and Shell scripting * Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka * Experience working on real-time data and streaming applications * Experience with NoSQL implementation, including MongoDB or Cassandra * Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile engineering practices * TS/SCI clearance with a polygraph ## Description 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.