Data Engineer

About the role

Help build the data infrastructure that enables MatrixSpace to continuously learn from real-world radar deployments. MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them. By combining advanced radar, edge computing, and AI, we deliver situational awareness in environments where traditional sensing solutions struggle.

Responsibilities

• Design the internal data platform that enables engineering teams to ingest, organize, and analyze data collected from deployed radar systems.
• Build the internal data platform that enables engineering teams to ingest, organize, and learn from data collected by MatrixSpace systems in the field.
• Develop solutions across relational, NoSQL, in-memory, time-series, warehouse, and data lake technologies.
• Implement advanced analytics, aggregation, and statistical processing across large datasets.
• Optimize PostgreSQL databases through schema design, indexing, partitioning, and query tuning.
• Maintain and monitor pipeline reliability, performance, data quality, and system observability.

Requirements

• 4-6 years of experience as a Data Engineer, Backend Engineer, Database Engineer, or similar role.
• Strong programming experience in Python, C++, Golang, or similar languages.
• Experience building and operating real-time and batch data pipelines in production environments.
• Deep expertise with PostgreSQL, including performance tuning, indexing, partitioning, and schema design.
• Experience with NoSQL, in-memory databases, and large-scale data processing systems.

Qualifications

• Strong communication skills and the ability to collaborate across engineering, analytics, product, and infrastructure teams.
• Takes ownership of systems from design through production operations.
• Values data quality, reliability, and observability.

Skills

• Experience with Kafka, Redpanda, RabbitMQ, Pulsar, or other streaming technologies.
• Experience with AWS or cloud-based data platforms.
• Experience with S3, Parquet, ORC, Delta Lake, or modern data lake architectures.
• Experience with orchestration tools such as Airflow, Dagster, or Prefect.
• Knowledge of distributed systems, caching, replication, sharding, and high-availability database design.

Benefits

This position requires working directly or indirectly with the US Government in restricted environments. Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future. This is NOT a fully remote position!

Pay

Competitive salary commensurate with experience.

Schedule

Full-time, Monday-Friday, 9am-5pm CST.