Data Analysis and Engineer (AUV)

Location: Bristol, RI, United States. Candidates must be United States Citizens or Permanent Residents and able to gain a security clearance.

Company

hirify.global is a startup designing and manufacturing autonomous underwater vehicles for underwater security, exploration, research, and operations.

What you will do

• Design and maintain data pipelines that ingest vehicle and field-kit mission logs into durable, queryable storage.
• Develop statistical analysis tooling in Python and Matlab for post-mission reconstruction, sensor time alignment, coordinate-frame handling, and navigation error analysis.
• Build dashboards, reports, and quantitative performance metrics for engineers, leadership, and customers.
• Define data schemas, naming conventions, and metadata standards to make test data discoverable and traceable.
• Support field-test campaigns with rapid analysis, anomaly detection, automated data-quality checks, and monitoring.
• Produce reproducible analysis products, documentation, and tests for customer deliverables, test reports, and design reviews.

Requirements

• Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Physics, or a related technical field, or equivalent practical experience.
• Professional experience in data engineering, statistical analysis, or a comparable role.
• Strong proficiency in Python, Matlab, and/or R data ecosystems, plus strong SQL skills.
• Experience with ETL/ELT pipelines, large sensor or log datasets, relational or time-series schemas, statistical methods, and data visualization.
• Experience building dashboards or visualization tools and working with asynchronous time-series data, timestamp alignment, and resampling.
• Proficiency with Git, strong problem-solving and written communication skills, and the ability to work effectively in a team. United States Citizenship or Permanent Residency and eligibility to gain a security clearance are required.

Nice to have

• Robotics data formats and middleware such as ROS 2, rosbag/MCAP, DDS, or Protobuf.
• Machine learning for time-series or navigational data and experience with columnar or time-series storage engines.
• Geospatial data, coordinate systems, signal processing, navigation, and state-estimation experience.
• Cloud platforms, infrastructure as code, Docker, and CI/CD experience.
• Experience with maritime sensors, underwater acoustics, subsea systems, startups, or defense companies.
• Willingness to participate in on-water testing and field operations.

Culture & Benefits

• Work on autonomous underwater vehicles used for security, exploration, research, and operations.
• Collaborate across engineering, leadership, customer, and field-test activities.
• Contribute to a growing startup developing next-generation underwater autonomy.
• Participate in practical on-water testing and field operations as needed.