Senior-Level Data Engineer
Job Summary
Job Description
Redhorse Corporation is seeking a Senior-Level Data Engineer to support the Chief Digital and Artificial Intelligence Office (CDAO) at the Department of Defense (DoD). The role involves designing and implementing data solutions for data-driven decision-making and national security initiatives. Key responsibilities include configuring data repositories, maintaining data transfers, automating configuration management, identifying solutions, applying DoD Security Technical Implementation Guides (STIGs), and collaborating with multiple functional groups to create innovative solutions. This is a high-impact position with significant opportunity to shape the future of DoD data management and analytics. The role requires a Bachelor’s degree with 7+ years of experience or a Master’s degree with 5 years of experience.
Must have:
- 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.
8 skills required
Job Details
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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