Data Engineer (Op AI)

PMAT-posted 10 days ago

Full-time • Mid Level

San Diego, CA

51-100 employees

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PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions.

Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output.
Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness.
Design or normalize data to common standards to support interoperability and analytical workflows.
Develop and deploy data pipelines and analytics in real-world applications.
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
Perform exploratory data analysis, algorithm development, and testing.
Deploy, monitor, and improve data pipelines for operational environments.
Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ.
Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality.
Stay current with emerging trends in data engineering, distributed systems, and modern data architecture.
Document data processes, pipeline structures, and engineering best practices.

At least 3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer.
Strong programming skills in Python.
Experience designing or normalizing data to common standards.
Experience with data pipeline development and real-world deployment.
Experience with multiple data formats: CSV, JSON, XML, Parquet, ORC.
Familiarity with event streaming platforms (Kafka, RabbitMQ, ZeroMQ).
Experience with exploratory data analysis, algorithm development, and testing.
Experience deploying, monitoring, and improving data pipelines.
Strong problem-solving and analytical skills.
Excellent communication skills and ability to work effectively in a collaborative team environment.
Familiarity with data pipeline frameworks and libraries (AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake).
Experience retrieving and managing GIS data (ArcGIS, PostGIS).
Programming skills in Go or Rust.
Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores.
Experience with AWS native data services: EFS, RDS, S3, SNS, SQS.
Experience with distributed computing and parallel processing (AWS Lambda, DASK, Spark).
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
Understanding of cybersecurity principles in the context of data applications.
Previous experience with government agencies or military organizations.
US Citizenship
No dual citizenship
Active DoD TS/SCI clearance required

Experience with large-scale data architecture across secure DoD or government environments.
Experience supporting NAVWAR, NIWC Pacific, or other Navy programs.
Experience integrating data pipelines into operational mission systems.
Familiarity with ML Ops or data engineering in classified or cross-domain environments.

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