Senior Data Engineer

As a Senior Data Engineer at Barbaricum, you'll be responsible for assembling large data sets that meet various business requirements, optimizing data delivery, and automating processes. Additionally, you'll design the data infrastructure for extraction and transformation using cloud technologies like Azure, AWS, and Google, and create analytical tools to gain insights into key business metrics.

To become a Senior Data Engineer at Barbaricum, you need an active DoD Secret Clearance, a Bachelor's degree, and at least 10 years of relevant experience. We value your expertise and skills in working with data, your ability to improve internal processes, and your ability to work collaboratively with various teams.

Barbaricum is based in Fort Belvoir, VA, while also having corporate offices in Washington, DC, Tampa, FL, Bedford, IN, and Dayton, OH. This position will be stationed at Fort Belvoir, allowing you to work closely with a dynamic team in an innovative environment.

As a Senior Data Engineer at Barbaricum, you will work on projects that support the Program Executive Office Soldier. Your role will involve creating and deploying innovative cloud services that enhance data analytics and operational efficiency for defense and national security missions.

At Barbaricum, we foster a vibrant corporate culture that promotes collaboration and continuous learning. Our team is encouraged to partner with academic institutions and industry associations to refine their expertise while tackling some of the nation’s most complex challenges.

Senior Data Engineers at Barbaricum utilize a range of cutting-edge technologies, including cloud platforms such as Azure, AWS, and Google technologies. You will also engage with data-related tools to optimize processes and provide crucial insights into business performance.

Candidates for the Senior Data Engineer position at Barbaricum should expect a thorough interview process that focuses on their technical expertise, problem-solving skills, and ability to collaborate with other teams. We aim to find individuals who not only fit the technical requirements but also align with our company culture.

Focus on specific projects where you utilized these cloud platforms, highlighting your role in building or optimizing data infrastructures and any challenges you faced that required innovative solutions.

Discuss your strategies for data assembly and management, including any tools or frameworks you use to ensure the datasets meet business requirements and how you optimize data flows.

Share specific examples of process improvements you've designed, focusing on scalability, automation, and the results of these changes in enhancing operational efficiency.

Provide examples of how you effectively communicated with team members from different backgrounds, highlighting how you resolved conflicts or differences in perspectives to achieve project goals.

Talk about the tools you've developed for data analysis and the tangible impact they had on business outcomes or decision-making processes. Highlight specific metrics if possible.

Discuss your methods for continuous learning, such as attending industry conferences, online courses, or following reputable tech blogs and forums. Share any recent technology trends you've adopted.

Explain your processes for validating data, including any specific methodologies or tools you use to monitor data quality over time and resolve any inconsistencies.

Share your approach to prioritizing tasks, communicating with stakeholders, and any measures you take to mitigate risks, ensuring that the project remains on track.

Provide a specific example of a technical challenge you encountered, the analytical process you used to arrive at a solution, and the successful outcome of your efforts.

Articulate the importance of data engineers in translating data insights into actionable intelligence that informs strategic decisions, emphasizing the larger impact on organizational goals.