Description: Data Engineer
Responsibilities
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.
Requirements
•5+ years of experience in data engineering, application development, or data science
•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 or ELT workflows for reporting and analytics
•3+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL
•Experience with data visualization tools such as Tableau, Qlik, Power BI, or Foundry
•Experience creating solutions within a collaborative, cross-functional team environment
•Secret clearance
•Bachelor's degree in Computer Science, Data Science, or Mathematics
Nice to have
•Experience with Palantir tools such as Foundry or Gaia
•Experience with DoW financial information systems
•Experience with DoD data analytics systems such as Advana or Vantage
•Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
•Experience with Agile engineering practices
•Experience working within a Combatant Command or other DoD organization
•TS/SCI clearance
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.
Conditions
At Booz Allen, offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs; individuals below that threshold are only eligible for select offerings, not inclusive of health benefits. Salary is determined by factors including location, education, knowledge, skills, competencies, experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). This posting will close within 90 days from the Posting Date.
Work Model: Onsite — work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
