Data Engineer - Databricks (Public Trust) (Richmond)

Senior Databricks Sme

Our Digital Modernization and Experience (DMX) Group is growing, and we are looking for a motivated, experienced Senior Databricks SME who is passionate about turning complex data into actionable solutions that improve public systems and services. This role supports an enterprise initiative focused on platform infrastructure and analytics modernization for a federal customer.

You'll be joining a cross-functional team of full stack developers, data engineers, and data analysts working within a modular, cloud-native platform supporting the emergency management sector. Your work will help ensure disaster management and mitigation decision-makers have access to accurate, timely, and meaningful data and data products to drive effective service delivery and measurable mission outcomes.

If you thrive in a collaborative environment, enjoy working independently to solve real-world challenges through data, we want to hear from you.

Job Location : This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings. This person must be able to interview in person in Raleigh / Durham, NC, Reston, Virginia; Atlanta, GA.

What You'll Be Doing :

• Enable secure, scalable, and efficient data exchange between federal client and external data sharing partners using Databricks Delta Sharing.
• Support the design and development of data pipelines and ETL routines in Azure Cloud environment for many source system types including RDBMS, API, and unstructured data using CDC, incremental, and batch loading techniques.
• Conduct data profiling, transformation, and quality assurance on structured, semi-structured, and unstructured data.
• Identify underlying issues and translate them into technical requirements.
• Assist in building and optimizing data lakes, feature stores, and data warehouse structures to support analytics and machine learning.
• Prepare, structure, and validate data for data science and MLOps workflows, ensuring it meets the quality and format requirements for modeling.
• Help monitor and maintain the flow of data across BI dashboards, analytics environments, and machine learning pipelines.
• Engage directly with clients and stakeholders to understand data needs and translate them into scalable solutions.
• Collaborate with UX designers, business analysts, developers, and end users to define data and reporting requirements.
• Work with external data partners to determine their data product needs and work within the databricks platform to enable rapid prototyping and extensible use cases.
• Meet with government employees at executive levels, platform stakeholders, and vendor partners.
• Work within Agile teams to support iterative development, backlog grooming, and sprint-based delivery.
• Provide mentorship to junior resources.

What You Must Have :

Technologies You'll Use :

What We'd Like You To Have :

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Why You'll Love Working Here :