Data Engineer

The Opportunity 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 a data professional 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 use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while supporting the assessment, design, development, and maintenance of scalable platforms for your clients. You Have 2+ years of experience utilizing programming languages, including C++, Java, or Python 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis Experience creating software for retrieving, parsing, and processing structured and unstructured data Experience with developing 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 Bachelor’s degree Secret clearance Nice If You Have Experience in application development utilizing SQL or Scala Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience working on real-time data and streaming applications Experience with NoSQL implementation using MongoDB or Cassandra Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake Experience with UNIX and Linux, including basic commands and Shell scripting Experience with Agile engineering practices TS/SCI clearance with a polygraph Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation Salary is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 annualized USD. The estimate displayed represents the typical salary range for this position and is just one component of the total compensation package. This posting will close within 90 days from the Posting Date. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr Booz Allen Hamilton