Senior Data Engineer

Ardalyst Defense, LLC is seeking a Senior Data Engineer (Databricks) to lead Databricks implementations and deliver enterprise-scale data and analytics capabilities for hybrid cloud environments. In this role, you will support the end-to-end solution lifecycle, providing technical guidance, integration support, and data quality and observability capabilities that enable mission and business objectives.

Role focus

• Lead Databricks implementations for enterprise-scale data and analytics solutions in hybrid cloud environments
• Support design, development, integration, and maintenance of scalable cloud-based data platforms
• Provide technical guidance across the solution lifecycle, including data quality and observability

Responsibilities

• Develop and deliver the client installation plan through coordination with clients and the project team
• Serve as the escalation point for technical issues from clients and other system engineers
• Manage client expectations related to solution functionality, deployment processes, and realistic timelines
• Act as a subject matter expert in solution architecture for hybrid cloud environments
• Collaborate with the Leadership Team to review and contribute to Product Roadmaps
• Identify the organizational impact of the technical solution architecture
• Provide technical leadership to the engineering team, as necessary
• Travel as required to customer sites, naval installations, shipyards, and vessels for installation, maintenance, modernization, and troubleshooting activities
• Perform other related duties as assigned by supervisors, team leads, or program management

Requirements

• Senior Databricks engineer with 5 years of experience, including knowledge of databases, data warehousing, data analytics, or related data technologies
• Associate’s degree in information technology, Networking, Cybersecurity, or a related field, or an equivalent combination of education, military training, and relevant experience
• Active DoD Secret Security Clearance required
• Hybrid cloud data and infrastructure design experience, including implementation of data quality functions such as standardization, transformation, rationalization, linking, and matching
• Seven (7) years of experience in Python and SQL for data analysis, data processing, or problem-solving, including in-memory computing experience using R, Python, Spark, PySpark, Kafka, and Scala
• Seven (7) years of experience identifying data source telemetry and routing it for operational observability
• Excellent communication (written and oral) and interpersonal skills

Technologies

• Databricks, Python, SQL, R, Spark, PySpark, Kafka, Scala

Location and travel

• Northern Virginia, Maryland, DC (hybrid)
• Travel as required to customer sites, naval installations, shipyards, and vessels for installation, maintenance, modernization, and troubleshooting activities

About Ardalyst Defense, LLC

• Ardalyst Defense, LLC is a Maryland, Service-Disabled Veteran-Owned Small Business (SDVOSB) providing engineering services and technical, analytical and cyberspace operations services to integrated U.S. government agency operations
• Ardalyst personnel have decades of direct operations experience in full-scope Cyberspace Operations at the Service, Joint, and National Agency levels

Benefits

• Competitive salary commensurate with experience
• Paid Time Off (PTO)
• Paid Holidays
• 401(k) Retirement Plan
• Health, Dental, Vision and Life insurance
• Short Term and Long-Term Disability insurance
• Monetary assistance with training and certifications

What Ardalyst offers you

• The opportunity to support meaningful Navy missions while working alongside experienced IT, engineering, and cybersecurity professionals
• A collaborative environment where employees are encouraged to contribute ideas, expand their technical skills, and take on new challenges
• Exposure to a wide range of technologies, systems, and operational environments that support professional growth and hands-on experience
• Opportunities for training, certification development, and continued learning