Data Engineer, Senior

Data Engineer, Senior The Opportunity:   Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a senior 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 senior Data Engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. You’ll oversee the development and deployment of 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.  In this role, you will also support code environments using Python and SQL, translating and modernizing analytics workflows across platforms. You’ll lead the development of shared libraries and modular code repositories, ensuring maintainability and consistency across enterprise teams. Your experience with Palantir Foundry will be critical as you collaborate on onboarding programs to the platform and drive adoption through training, integration, and architecture support. This position is located in Atlanta, GA.   Work with us to use big data for good. Join us. The world can't wait.  You Have:   5+ years of experience with PySpark, SQL, distributed data processing, and enterprise-scale data engineering 5+ years of experience designing, developing, owning, and maintaining end-to-end production data pipelines 5+ years of experience with data architecture, including schema design, Medallion architecture, partitioning strategies, and performance optimization 5+ years of experience collaborating with business stakeholders, gathering requirements, and delivering technical presentations to technical and non-technical audiences 2+ years of experience with Databricks, including Delta Lake, Unity Catalog, Job orchestration 2+ years of experience with Micro sof t Azure, including Azure Data Factory, Azure Functions, Azure Storage, or cloud platforms such as AWS or Google Cloud Platform ( GCP ) Experience with Palantir Foundry, including pipeline development, transformation logic, and data modeling Experience supervising others and leading deliverables in cross-functional environments Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree Nice If You Have:   Experience with CI / CD pipelines for data engineering and app services using Azure DevOps or equivalent tooling Experience with Generative AI, including RAG, LLMs, and embedding models, and delivering AI-driven business solutions Experience  implementing data quality, observability, monitoring, data security, and enterprise data governance Knowledge of Agile development met hodologies, DevOps, and DataOPs practices Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

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