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Closed on June 29, 2026.
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Job Description
Benefits and culture
Based in Groton, CT with remote options, this role involves on-site collaboration with customers and requires a U.S. Secret clearance. Spear AI offers a benefits rich, growth oriented environment that values practical impact, direct leadership involvement, and a collaborative, autonomous culture.
- Unlimited paid time off to recharge and maintain work life balance
- Dedicated sick time to support health and wellbeing
- Comprehensive medical, dental, and vision coverage
- Eleven paid holidays
- Professional development opportunities and certification reimbursement
- Collaborative environment with direct access to leadership in a flat structure
- Mission driven projects with real world impact
- Growth opportunities during a period of expansion
- 401(k) plan with company match
- Onsite, remote, or hybrid work arrangements depending on the role
- Relocation assistance where applicable
- Referral bonuses and performance bonuses
- Life insurance and disability coverage
- Home office setup stipend
- Professional certification reimbursement, position dependent
Responsibilities
- Build real-time data pipelines using MQTT and Redpanda for stream processing
- Develop offline data pipelines with Dagster for batch workflows
- Parse and process binary message formats from diverse data sources
- Construct data warehouses leveraging Postgres, Apache Iceberg, Parquet, and S3
- Design data models optimized for high performance queries
- Validate and normalize incoming data sources
- Improve local development and CI/CD with modern tooling and GitHub Actions
Requirements
- Current or active U.S. Secret clearance
- Expertise in time-series data processing and analysis (windowing, resampling, interpolation)
- Proficiency in Python and Rust for data engineering workflows
- Experience with binary message parsing
- Familiarity with row-based and columnar data formats
- Experience with OLTP and OLAP databases
- Knowledge of distributed systems, streaming architectures, and batch processing patterns
- Hands-on experience with batch orchestrators such as Dagster or Airflow
- Hands-on experience with streaming platforms such as Redpanda or Kafka
- Hands-on experience with binary message formats such as Protobuf
Technology stack
- MQTT
- Redpanda
- Dagster
- Apache Iceberg
- Parquet
- Postgres
- S3
- Python
- Rust
- Protobuf
- Airflow
- GitHub Actions
- Kafka
Nice to have
- Experience with IoT devices and sensors
- Digital signal processing experience
- Geospatial analysis and GIS experience
- Familiar with working in monorepos
Why work with us
- We ship quickly on meaningful projects rather than long, inconsequential cycles
- Our work has tangible impact, including deployments related to subsystems and integrations with associated hardware
- Responsible, values driven growth during an expansion phase
- Remote friendly with real time collaboration on Slack and asynchronous work via GitHub
- Profitability and investor backing support sustainable success
- Autonomy to focus on quality work without excessive gatekeeping
- Light hearted culture while building safety focused products