Senior Data Engineer
RedhorseRemote
Full Time
Posted September 16, 2026
$190k - $210k
Power Generation
Remote
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Job Description
Now is a great time to join Redhorse Corporation.
Key Responsibilities
- Support CBM+ program initiatives from inception to deployment, ensuring alignment with overarching business and mission objectives.
- Oversee end-to-end data collection and processing, including the implementation, sustainment, and optimization of ETL pipelines.
- Perform Exploratory Data Analysis (EDA), statistical analysis, and data visualization to identify trends, correlations, and actionable insights that drive product development.
- Build and maintain knowledge graph capabilities.
- Collaborate with multi-functional engineering teams to integrate trained models into production applications and APIs.
- Continuously monitor data quality and model performance to detect and mitigate drift and degradation.
Requirements
- Active U.S. Government Secret Security Clearance (U.S. Citizenship required; applicants without an active Secret Clearance cannot be considered).
- Bachelor’s degree in a STEM (Science, Technology, Engineering, or Mathematics) field or proven equivalent professional experience.
- NLP Experience: 2+ years of experience incorporating applied Natural Language Processing (NLP), data labeling, and entity or keyword extraction.
- Analytics & Data Engineering: Proven proficiency with Databricks, PySpark, SQL, data governance frameworks, and technical documentation standards.
- Statistical Foundations: Deep understanding and practical application of statistical distributions for data assessment, data analysis, and predictive modeling.
- Collaboration & Self-Direction: Demonstrated self-starter capabilities with strong interpersonal skills to foster positive stakeholder relationships and execute tasks independently.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical findings for non-technical and executive audiences.
- Tools: Experience with project management and productivity platforms including Jira, Confluence, Lucidchart, and Microsoft Office Suite (Word, Excel, PowerPoint). Experience with data end products such as Qlik Sense, Streamlit and other visualization or dashboard tools.
- Travel: Ability to travel, minimal, as needed to engage with government customers and project stakeholders.
- Growth: Possess a desire to learn and advance skills in the aviation data space.
- Master’s degree in a STEM field, with a preference for Data Science, Data Analytics, or Computer Science.
- Advanced expertise in applying artificial intelligence and machine learning (AI/ML) to predictive maintenance and defense logistics challenges.
- Direct experience developing sensor-based failure prediction models and equipment health indicators.
- Practical experience conducting Monte Carlo simulations and calculating statistical confidence intervals.
- Demonstrated expertise in end-to-end data pipeline engineering including customer-facing UI/UX integration.
Ready to Apply?
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