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Senior Data Engineer; DataBricks

Job in Crofton, Anne Arundel County, Maryland, 21114, USA
Listing for: Ardalyst Federal, LLC.
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Job Title:

Senior Data Engineer (Data Bricks) Job Type: Full Time/Contract

Location:

Northern Virginia, Maryland, DC Clearance:
Secret Who is Ardalyst Defense, LLC?

Ardalyst Defense, LLC is a Maryland, Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides 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.

Are you an Ardalyst?

Ardalyst is a mashup of Ardent, meaning "passionate" and Catalyst, meaning "change agent." To be an Ardalyst means to be passionate about creating and sustaining meaningful transformations.

Speak your mind – Collaboration is at the heart of everything we do and our belief in diversity of people supports our goal for diversity in thought. "Ardalysts" (that's just what we call ourselves) come ready to contribute and find solutions.

Focus On Your Strengths – We invest in understanding the strengths and weaknesses of each employee so that you can shine at what YOU do best.

See Yourself Grow – Ardalysts have cited being encouraged to take educated risk, kick-start progress, and advance their skills as one of their favorite things about working at Ardalyst and we're determined to keep it that way.

Job Description

We are seeking an experienced Databricks Engineer to support the design, development, integration, and maintenance of enterprise-scale data and analytics solutions in hybrid cloud environments. In this role, you will lead Databricks implementations, develop data processing and analytics capabilities using modern data engineering technologies, and provide technical guidance throughout the solution lifecycle. You will collaborate with stakeholders to define technical requirements, resolve complex data and infrastructure challenges, ensure data quality and observability, and support the successful deployment of scalable, cloud-based data platforms that enable mission and business objectives.

Duties

and Responsibilities

As a lead engineer for Databricks integration for designing, developing, enhancing, and maintaining enterprise-scale data projects, the following skills are required:

  • Develop and deliver the client installation plan through coordination with clients and the project team
  • Act as escalation point for technical issues from clients and other system engineers
  • Manage client expectations regarding solution functionality, deployment processes, and realistic timelines
  • Provide subject matter expert in solution architecture for hybrid cloud environments
  • Collaborate with 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 in support of installation, maintenance, modernization, and troubleshooting activities.
  • Perform other related duties as assigned by supervisors, team leads, or program management.
Required Skills/Qualifications

Senior Databricks engineer with 5 years’ experience with 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 with implementation experience utilizing typical data quality functions involving standardization, transformation, rationalization, linking, and matching.
  • Seven (7) years’…
Position Requirements
10+ Years work experience
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