Data Software Engineer – Accelerate Engineering Innovation at a Dynamic Series A Space & Defense Startup!

Opportunity Summary

We are actively searching for a skilled Data Software Engineer to join a vibrant Series A startup revolutionizing telemetry and sensor data management within the space and defense hardware industries. Our groundbreaking platform provides engineers instant, comprehensive visibility into high-frequency sensor data, dramatically speeding up development cycles and reducing operational bottlenecks. As one of our early technical hires, you'll directly influence our core technology stack, architecture choices, and help shape an empowering engineering culture at a company poised to transform how cutting-edge machines are developed and operated.

About Us

Our company emerged from the hands-on experience of leading engineers from premier aerospace and technology firms, addressing the challenges inherent in scaling data-intensive hardware operations. We have crafted a unique telemetry data solution that meets the rigorous requirements of modern aerospace and defense engineering teams. With a culture rooted in technical innovation, we empower our teams to solve intricate problems, collaborate closely with pioneering clients, and build impactful technologies that enable breakthroughs across mission-critical applications.

Job Duties

• Architect and develop a highly scalable data ingestion platform capable of processing millions of sensor inputs per second.
• Implement robust, high-performance databases designed for real-time data analysis, retrieval, and storage.
• Engage directly with engineering clients to understand unique challenges and deliver precise, efficient solutions.
• Define and reinforce best practices, engineering standards, and collaborative processes.
• Actively participate in peer-led code and architectural reviews to maintain high-quality software solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Physics, or another relevant STEM field.
• 5+ years of relevant professional experience in data engineering or software development.
• Proven hands-on expertise in streaming data analytics tools such as Apache Kafka, Apache Flink, Apache Beam, or similar.
• Experience deploying and managing relational (e.g., PostgreSQL, Timescale) and non-relational databases (e.g., Druid, Pinot).
• Familiarity with data visualization and exploration tools, including Grafana, Metabase, Jupyter Notebooks, PowerBI, or equivalents.
• Ability to operate effectively in ambiguous environments, balancing shifting priorities with minimal guidance.
• Strong teamwork orientation and effective communication skills.

Preferred Experience

• Prior experience developing large-scale distributed web applications or systems using Python, Go, or comparable languages.
• Deep understanding of DevOps methodologies, including continuous integration, testing, deployment, version control, and monitoring.

Security Clearance

• Must be able to obtain US Secret clearance.

Why Join Us

• Substantial opportunities for career growth at an early-stage startup.
• Flexible hybrid workplace arrangement.
• Comprehensive health benefits (medical, dental, vision).
• Generous equity offerings.
• Innovative, collaborative team environment focused on solving complex engineering challenges.

Compensation Details

$130,000 - $200,000 + generous equity options