Sr. Software Engineer - Engineering Productivity (Data Services)

Reliable Robotics • Mountain View, CA

179d • $185,000 - $230,000

About The Position

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality. As a Data Services Engineer at Reliable Robotics, you will architect, design, and implement software to support the development, simulation, test, certification, and operation of complex automated systems for aircraft. Your software will enable engineers and analysts to efficiently and effectively draw conclusions from test & evaluation data, accelerating the product design life cycle.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or related field
• 5+ years of experience with test & evaluation and/or statistical analysis data pipelines
• 3+ years experience in Python, Go (Golang), and Linux-based development environments and scripting development environments
• Professional experience with developing timeseries, relational, and NoSQL databases technologies
• Professional experience with version control, CI/CD, and software testing frameworks

Nice To Haves

• Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker
• Professional experience with product ownership and roadmapping
• Demonstrated ability to work in a self-directed manner in a fast-paced environment
• Strong presentation, synthesis, and storytelling skills

Responsibilities

• Design and implement test & evaluation data processing pipeline, data storage, and data retrieval services
• Deploying and managing self-service data visualization and business intelligence platforms (e.g., Grafana, Metabase, Tableau, Jupyter Notebooks)
• Collaborate with stakeholders to develop the vision, strategy, and roadmap for company-wide data services and governance
• Provide consultation to engineering teams, driving adoption and fostering data literacy through hands-on guidance, expert training, and clear documentation
• Balance the company needs of long-term data retention, ease of data use, low latency of access to new data, reliability of data analysis, and cost awareness

Benefits

• Stock options
• Employee medical
• 401k contribution
• Great co-workers
• Casual work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees