Data Engineer, Lead

Ever-expanding technology like IoT, machine learning, and artificial intelligence means more structured and unstructured data is available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need a big data professional 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 lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. You’ll oversee developing and deploying pipelines and platforms that organize and make disparate data meaningful.Here, you’ll guide and mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.Work with us to use big data for good.Join us. The world can’t wait.You Have:Experience with application developmentExperience with designing, developing, operationalizing, or maintaining complex data applications at an enterprise scaleExperience with creating software for retrieving, parsing, and processing structured and unstructured dataKnowledge of scalable ETL and ELT workflows using Apache Spark, Apache Airflow, or Apache FlinkAbility to develop scripts and programs for converting various types of data into usable formats, supporting project teams to scale, and monitor and operate data platformsAbility to supervise others and lead projects and deliverables within a collaborative, cross-functional team environmentAbility to obtain a Secret clearanceHS diploma or GEDNice If You Have:10+ years of experience with using Python, SQL, Scala, or Java5+ years of experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka5+ years of experience with working on real-time data and streaming applications5+ years of experience with NoSQL implementation, including MongoDB or Cassandra5+ years of experience with data warehousing, including DataBricks Lakehouse or Snowflake5+ years of experience with UNIX and Linux, including basic commands and Shell scripting5+ years of experience with Agile engineering practices3+ years of experience with Palantir FoundryClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.Compensation:At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.Salary at Booz Allen 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 $96,600.00 to $220,000.00 (annualized USD).Work Model:Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.EEO Commitment:We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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