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Data Engineer

Redhorse · Arlington, États-Unis d'Amérique · Hybrid

  • Bureau à Arlington
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About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.
 
About the Role
Redhorse Corporation is seeking a motivated Data Engineer to join our National Security team focused on building robust data infrastructure for high-stakes analytical applications. In this role, you will play a key part in designing and implementing data pipelines that integrate information from diverse sources to create and maintain knowledge graph-based data products. Your work will directly support mission-critical initiatives in cyber forensics, financial forensics, and criminal investigations, ensuring data integrity, accessibility, and scalability. This position offers an excellent opportunity for growth in a collaborative environment where you’ll work with cutting-edge technologies to solve complex data challenges.

Key Responsibilities
  • Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from disparate sources, ensuring seamless integration into knowledge graph structures.
  • Build and sustain knowledge graph data products using Neo4j, including modeling relationships, optimizing queries, and ensuring data consistency.
  • Utilize GraphAware Hume Orchestra for advanced graph processing and orchestration tasks.
  • Leverage Databricks and Spark for large-scale data processing, distributed computing, and analytics workflows.
  • Develop scripts and automation in Python to handle data ingestion, cleaning, and transformation.
  • Implement workflow orchestration using Airflow and data flow management with NiFi to automate and monitor pipeline operations.
  • Collaborate with cross-functional teams, including data scientists, analysts, and investigators, to support cyber forensics, financial forensics, and criminal investigations by providing reliable data access and insights.
  • Troubleshoot and optimize data pipelines for performance, scalability, and reliability.
  • Ensure compliance with data security, privacy, and regulatory standards relevant to forensic and investigative contexts.
  • Participate in code reviews, documentation, and knowledge sharing to foster best practices within the team. 
Required Experience/Clearance
  • Active Secret security clearance.
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience).
  • 2-5 years of experience in data engineering, with hands-on exposure to ETL processes and data pipeline development.
  • Proficiency in Python for data manipulation and scripting.
  • Experience with big data technologies such as Spark and Databricks.
  • Familiarity with graph databases, particularly Neo4j, and building knowledge graphs.
  • Knowledge of workflow tools like Airflow and data integration platforms like NiFi.
  • Demonstrated expertise in supporting cyber forensics, financial forensics, or criminal investigations, including handling sensitive data and ensuring evidentiary integrity.
  • Strong problem-solving skills and attention to detail, with the ability to work independently and in a team setting.
  • Excellent communication skills to articulate technical concepts to non-technical stakeholders.
Desired Experience
  • Experience with GraphAware Hume Orchestra or similar graph orchestration tools.
  • Understanding of data modeling techniques for knowledge graphs and semantic technologies.
  • Familiarity with cloud-based data environments (e.g., AWS, Azure) and version control systems like Git.
  • Background in forensic data analysis or investigative support in a professional setting


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 [email protected]
 
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 [email protected]
 
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.