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Senior-Level Data Engineer

About the Organization

Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.


About the Role

Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a highly skilled Senior-Level Data Engineer to join our team supporting the Chief Digital and Artificial Intelligence Office (CDAO). You will play a critical role in advancing data-driven decision-making across the DoD, designing and implementing robust data solutions that directly impact national security initiatives. This is a high-impact position offering significant opportunity to shape the future of DoD data management and analytics.


Key Responsibilities
  • Support the configuration and ingestion of structured, unstructured, and semi-structured data repositories into capabilities meeting mission partner requirements, supporting a data analytics and DevOps pipeline for rapid delivery of functionality.
  • Maintain all operational aspects of data transfers, accounting for the security posture of the underlying infrastructure and supported systems and applications; monitor environmental health using various tracking capabilities.
  • Automate configuration management, leverage appropriate tools, and stay current on ETL technologies and services.
  • Work under general guidance, demonstrating initiative to develop solutions independently; review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to improve environmental health.
  • Apply comprehension of data engineering technologies and services, leveraging database expertise and various data structuring and retrieval approaches; comprehend cloud architectural constructs and support programmatic Cloud environment establishment and maintenance using vendor consoles.
  • Engage with multiple functional groups to understand client challenges, prototype new ideas and technologies, create solutions to drive innovation, and design, implement, schedule, test, and deploy full features and components of solutions.
  • Identify and implement scalable and efficient coding solutions.
  • Apply DoD Security Technical Implementation Guides (STIGs) and automate that process.


Required Experience/Clearance
  • Bachelor’s degree plus 7+ years of experience, or a Master’s degree plus 5 years of experience.
  • Experience with big data systems, including Apache Spark and Databricks.
  • Experience with ETL processes.
  • Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0.
  • Experience engineering data pipelines across multiple security domains/classified networks.
  • Experience with multiple coding languages.
  • Active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility.


Equal Opportunity Employer/Veterans/Disabled 

 

Accommodations:

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent_Acquisition@redhorsecorp.com

 

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.

This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

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Average salary estimate

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What You Should Know About Senior-Level Data Engineer, Redhorse Corporation

Are you ready to take your data engineering skills to the next level? Redhorse Corporation is on the lookout for a Senior-Level Data Engineer located in the vibrant city of Falls Church, VA. This is an exciting opportunity to join a team that is revolutionizing how the Department of Defense (DoD) utilizes data and technology. You will be at the forefront of transforming data-driven decision-making, implementing robust data solutions that have a real impact on national security initiatives. In this role, you'll support the ingestion of various data types into capabilities that meet mission partner requirements, all while ensuring the security and operational health of data transfers. Your expertise will drive innovation as you engage with diverse functional groups to prototype ideas and create scalable coding solutions. If you're skilled in big data systems, possess a strong background with cloud technologies like AWS and Azure, and have a passion for automating processes using ETL technologies, then Redhorse wants to hear from you! You'll have the chance to be a key player in optimizing data management across the DoD while working autonomously and collaboratively to meet changing needs and requirements. This position is not just a job; it's a chance to make a difference in a high-impact environment that values creativity, motivation, and a strategic mindset. Join us at Redhorse Corporation and help shape the future of data management in the defense sector!

Frequently Asked Questions (FAQs) for Senior-Level Data Engineer Role at Redhorse Corporation
What are the main responsibilities of a Senior-Level Data Engineer at Redhorse Corporation?

As a Senior-Level Data Engineer at Redhorse Corporation, your main responsibilities include configuring and ingesting structured, unstructured, and semi-structured data repositories, maintaining operational aspects of data transfers, automating configuration management, and engaging with multiple functional groups to create innovative data solutions. You'll also be responsible for identifying areas for optimization and ensuring the security and health of the data environment.

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What qualifications do I need to be a Senior-Level Data Engineer at Redhorse Corporation?

To qualify for the Senior-Level Data Engineer position at Redhorse Corporation, you should possess a Bachelor’s degree with at least 7 years of relevant experience, or a Master’s degree with 5 years of experience. Additionally, expertise in big data systems, cloud technologies such as AWS or Azure, and a strong coding background are crucial. An active Top Secret (TS) security clearance with SCI eligibility is also required.

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What technologies does the Senior-Level Data Engineer at Redhorse Corporation work with?

The Senior-Level Data Engineer at Redhorse Corporation will work with a variety of technologies including big data systems like Apache Spark and Databricks, cloud environments such as Amazon Web Services (AWS) and Microsoft Azure, and various ETL tools for data processing. Your role will involve leveraging these technologies to build robust data pipelines and innovate solutions for national security.

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How does Redhorse Corporation support the professional development of a Senior-Level Data Engineer?

Redhorse Corporation encourages continuous learning and professional development for their Senior-Level Data Engineers through training programs, workshops, and access to the latest technologies. You'll have opportunities to engage in innovative projects that contribute to your growth while staying updated on industry trends and practices.

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What impact does a Senior-Level Data Engineer have at Redhorse Corporation?

A Senior-Level Data Engineer at Redhorse Corporation plays a critical role in advancing data-driven decision-making across the DoD. By designing and implementing robust data solutions, you'll directly impact national security initiatives and help shape the future of data management and analytics within the department.

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Common Interview Questions for Senior-Level Data Engineer
Can you explain your experience with data pipelines?

When answering this question, highlight your proficiency in designing and managing data pipelines. Discuss specific tools or technologies you've used, any optimization strategies you implemented, and the outcomes of your work. Provide examples that demonstrate your problem-solving skills and technical expertise.

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How do you ensure data security in your engineering process?

Focus on your understanding of security protocols and the importance of following best practices when handling data. Explain specific measures you've implemented, such as encryption, access controls, and compliance with DoD Security Technical Implementation Guides (STIGs). Show how these practices safeguard sensitive information.

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What experience do you have with big data technologies like Apache Spark?

Share specific projects or tasks where you've effectively utilized Apache Spark or similar big data technologies. Emphasize your ability to process large datasets, manage distributed data systems, and collaborate with others to achieve data-driven results.

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Describe a challenging data engineering problem you've solved.

Use the STAR (Situation, Task, Action, Result) method to discuss a particular challenge, the steps you took to address it, and the successful outcome. Highlight your analytical thinking, problem-solving abilities, and any innovative approaches you employed to find a solution.

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How do you keep up with developments in data engineering?

Explain your commitment to continuous learning through various channels such as online courses, industry events, or professional networks. Mention any blogs, publications, or communities you follow that keep you informed about the latest trends and technologies in data engineering.

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What cloud services have you utilized, and for what purposes?

Discuss your hands-on experience with cloud platforms like AWS or Azure. Talk about specific services you've used for computing, storage, or data processing, and how those services contributed to the projects you worked on, demonstrating your familiarity with cloud environments.

Join Rise to see the full answer
Can you describe the importance of ETL processes?

When answering, emphasize the ETL (Extract, Transform, Load) process's role in data management. Explain how it facilitates the integration of data from various sources, prepares it for analysis, and ensures data quality and consistency, which are critical for informed decision-making.

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What coding languages do you prefer and why?

Discuss your preferred coding languages and how they relate to the tasks of a Senior-Level Data Engineer. Mention the strengths of these languages for data manipulation, automation, or analytics, providing examples of how you’ve successfully used them in past projects.

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How do you prioritize tasks in a demanding work environment?

Share your strategy for prioritizing tasks, such as utilizing project management tools, setting clear deadlines, or breaking down projects into manageable parts. Show how you remain organized while addressing urgent needs without sacrificing quality.

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Why do you want to work as a Senior-Level Data Engineer at Redhorse Corporation?

When responding, express your enthusiasm for Redhorse Corporation’s mission and the opportunity to contribute to national security initiatives. Highlight how your skills and values align with the company's goals and your eagerness to be part of a team that drives innovation in data engineering.

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To Transform the Way Government Interacts with Data and Technology

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Full-time, on-site
DATE POSTED
January 11, 2025

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