$85K - 154K a year
The Databricks Data Engineer will design, build, and optimize scalable data solutions and manage ingestion routines for processing large datasets. They will also integrate data from various sources to enable high-quality business insights and support advanced analytics workflows.
Candidates must have a BS degree in Computer Science or related field with 3+ years of experience, or a Master's degree with 2+ years of experience. Proficiency in Databricks, Python, Spark, and data governance is essential.
Leidos is seeking a Databricks Data Engineer to develop/support new/existing data pipelines, and data analytics environments in Azure cloud-based data lake. As a data engineer, you will translate business requirements to data engineering solutions to support an enterprise scale Microsoft Azure based data analytics platform. You will support continued maintenance of ETL operations and development of new pipelines ensuring data quality and data management. The ideal candidate will bring deep expertise in Databricks, a solid foundation in advanced AI technologies, and applies critical thinking to create innovative functions and solve technical issues by cross-functional team collaboration. Candidate must be a U.S. citizen. This role is remote for candidates located within the United States; however, the ideal candidate will be based in or willing to relocate to the Washington, DC or Indianapolis, IN area to support periodic on-site activities." In this role, you will: Design, build, and optimize scalable data solutions using Databricks and Medallion Architecture. Manage ingestion routines for processing multi-terabyte datasets efficiently for multiple projects simultaneously, where each project may have multiple Databricks workspaces. Integrate data from various structured and unstructured sources to enable high-quality business insights. Proficiency in data analysis techniques for deriving insights from large datasets. Implement effective data management strategies to ensure data integrity, availability, and accessibility. Identify opportunities for cost optimization in data storage, processing, and analytics operations. Montor and support user requests, addressing platform or performance issues, cluster stability, Spark optimization, and configuration management. Collaborate with the team to enable advanced AI-driven analytics and data science workflows. Integrate with various Azure services including Azure Functions, Storage Services, Data Factory, Log Analytics, and User Management for seamless data workflows. Experience with the above Azure services is a plus. Provision and manage infrastructure using Infrastructure-as-Code (IaC) Apply best practices for data security, data governance, and compliance, ensuring support for federal regulations and public trust standards. Proactively collaborate with technical and non-technical teams to gather requirements and translate business needs into data solutions. For this position, you must possess: BS degree in Computer Science or related field and 3+ years or Master’s degree with 2+ years of experience 3+ years of experience developing and designing Ingestion flows (structured, streaming, and unstructured data) using cloud platform services with data quality Databricks Data Engineer certification and 2+ years of experience maintaining Databricks platform and development in Spark Ability to work directly with clients and act as front line support for requests coming in from clients. Clearly document and express the solution in form of architecture and interface diagrams. Proficient at Python, Spark and R are essential. .NET based development is a plus. Knowledge and experience with data governance, including metadata management, enterprise data catalog, design standards, data quality governance, and data security. Experience with Agile process methodology, CI/CD automation, and cloud-based developments (Azure, AWS). Not required, but additional education, certifications, and/or experience are a plus: Certifications in Azure cloud, Knowledge of FinOps principles and cost management If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: September 25, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $85,150.00 - $153,925.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos Leidos is a Fortune 500® innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenue of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information visit www.Leidos.com. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.com. Commitment and Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
This job posting was last updated on 9/26/2025