Forward Deployed Data Engineer Jobs

Job Description

We’re seeking a skilled Forward Deployed Data Engineer to help build next-generation data management and artificial intelligence platforms supporting maritime domain awareness missions.

As a forward-deployed engineer, you’ll work directly with customers-writing code, integrating systems, and solving complex technical challenges in operational environments. You’ll serve as both an engineer and technical advisor, taking ownership of mission outcomes. This position requires a current or active U.S. Secret clearance.

This role offers the opportunity to work on real-world projects involving sensor systems, edge data collection, and large-scale maritime data processing environments that directly support operational mission success.

Responsibilities
• Implement real-time data pipelines using MQTT and Redpanda for stream processing.
• Implement offline data pipelines using Dagster for batch processing.
• Parse and process binary message formats from various data sources.
• Build data warehouses using PostgreSQL, Apache Iceberg, Parquet, and S3.
• Design data models that support high-performance analytical queries.
• Validate and normalize diverse data sources.
• Improve local development environments and CI/CD workflows using modern tooling and GitHub Actions.

Required Skills

Required Skills
• Expertise in time-series data processing and analysis (windowing, resampling, interpolation, etc.)
• Proficiency in Python and Rust for data engineering workflows
• Experience with binary message parsing
• Experience 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 workflow orchestration platforms such as Dagster or Airflow
• Hands-on experience with streaming platforms such as Redpanda or Kafka
• Experience working with binary message formats such as Protobuf

Desired Skills

Required Skills
• Expertise in time-series data processing and analysis (windowing, resampling, interpolation, etc.)
• Proficiency in Python and Rust for data engineering workflows
• Experience with binary message parsing
• Experience 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 workflow orchestration platforms such as Dagster or Airflow
• Hands-on experience with streaming platforms such as Redpanda or Kafka
• Experience working with binary message formats such as Protobuf