Data Engineer

Data Engineer Ever-expanding technology like IoT, machine learning, and artificial intelligence means 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 to help our clients find answers in their data to impact important missions from supporting clinical decision‑making to accelerating public health modernization. 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, clinical SMEs, 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. Key Qualifications 3+ years of experience with PySpark and SQL 3+ years of experience with Azure Databricks 3+ years of experience retrieving, parsing, and processing structured and unstructured data 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics Experience supporting collaborative, cross‑functional technical teams Ability to communicate complex analytic concepts to clinical and public health stakeholders Ability to develop scripts and programs for converting various types of data into usable formats, and support the team in scaling, monitoring, and operating data platforms Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree Nice to Have Experience with FHIR‑based data and large‑scale data processing Experience with R, Scala, or Java Experience with UNIX or Linux, and Shell scripting Experience with public cloud platforms such as AWS, Azure, and GCP Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, EMR, and Kafka Experience working with real‑time or streaming data systems Experience with NoSQL tools such as MongoDB and Cassandra Experience with data warehousing, including Redshift, MySQL, and Snowflake Experience with Agile methodologies Knowledge of EHR or Health IT systems Vetting Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). Benefits 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. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. 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