Data Scientist/Analytics Engineer
On-siteHuntsville, Alabama, United States
Job Summary
Torch Technologies seeks a Data Scientist / Analytics Engineer to design, develop, and maintain automated data ingestion, staging, transformation, and processing workflows supporting Missile Defense System test and performance analysis. Build and maintain scalable business intelligence solutions, dashboards, and visual analytics products using Tableau and similar visualization platforms. Integrate and process data from diverse sources, including relational databases, structured and semi-structured files, and emerging data repositories. Collaborate with analysts, engineers, and subject matter experts to develop analytical solutions that improve operational insight and decision-making. Develop and optimize ETL/ELT processes using Python, SQL, Alteryx, and related technologies. Support the integration of artificial intelligence and machine learning capabilities into analytics platforms and visualization environments. Apply software development best practices, including testing, documentation, configuration management, and code quality standards. Work within cross-functional engineering teams to deliver scalable, maintainable, and mission-focused data solutions. Support continuous improvement initiatives associated with Digital Engineering and data modernization efforts.
Required Qualifications
- U.S. Citizenship
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical discipline
- 5+ years of professional experience in data engineering, data analytics, business intelligence, or a related technical field
- Ability to obtain and maintain a Secret DoD Security Clearance
- Demonstrated experience developing automated data processing and workflow solutions
- Strong proficiency with Tableau or comparable business intelligence and visualization platforms
- Experience with relational databases and data storage technologies, including SQL Server, PostgreSQL, SQLite, and modern file-based formats such as Parquet
- Proficiency with Python and common data science libraries and frameworks
- Experience developing data pipelines, ETL processes, and automation solutions using Python, Alteryx, or similar tools
- Strong analytical, problem-solving, organizational, and communication skills
- Ability to work effectively in a collaborative team environment and communicate technical concepts to technical and non-technical stakeholders
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