Data Engineer

About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter.

Whether you’re an experienced engineer or just beginning your career, you’ll work alongside experts who are committed to solving mission-critical problems. If you’re passionate about using your skills to make a real difference, apply today and become part of a team that’s shaping the future of defense technology!

About the role: PMAT has an immediate need and is seeking two (2) experienced Data Engineers to support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the "sensor-to-shooter" timeline.

Responsibilities:

Build and optimize robust data pipelines: ingestion, transformation, storage, and governance.
Convert between tactical data formats, e.g., XML, JSON, GEOJSON, Cursor-on-Target (CoT), JREAP-C, Link-16.
Implement automation using CHRON/CRON jobs and data orchestration frameworks (Apache Airflow, Kafka, AWS Step Functions).
Architect and maintain scalable data stores (e.g., Apache Iceberg, Elasticsearch) with schema evolution and deduplication.
Enable real-time data indexing and fast query performance.
Implement MIL-STD-6016 (Link-16) and MIL-STD-3011 (JREAP) message handling.
Support integration or development of Cross-Domain Solutions (CDS) for secure, policy-based data transfers.
Present complex data flows and technical insights effectively to leadership and stakeholders using clear data models and visual aids.

Required Skills and Experience:

5 - 10 years' experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software engineer
Hands on Keyboard- Developer Skillsets
Fluency in Python, can code without Modern libraries.
Experience in format conversions with some of the following: XML, JREAP-C, COT (cursor-on-target), JSON, GEO JSON, UMF/UHR, text link-16, Tapil-J, and other Tactical Data Links.
Experience in natural language parsing (NLP) and using regular expressions, RegEx
Experience implementing CHRON/CRON jobs
Experience in data pipeline orchestration, ETL, orchestration tools (e.g., Kafka, Apache Airflow, AWS Step Functions)
Focused experience implementing and monitoring data stores i.e. (Apache Iceberg, elastic search, data lake management)
Experience with schema evolution, dataflow and governance
Experience with real-time search and analytics engines for indexing and querying semi-structured data
Focused experience optimizing data store queries for speed and deduplication
Direct experience implementing MIL-STD-6016 and MIL-STD-3011
Can translate data between source and destination schemas
Data modeling and PowerPoint presentations for leadership and stakeholder presentations
Experience working with or developing Cross Domain Solutions (CDS) systems.

Preferred Skills and Experience:

Familiarity with DoD data architecture principles (e.g. DoDAF, CADM).
Experience with DataOps or similar mission-critical pipeline automation (e.g., deduplication, schema normalization).
Any experience leveraging universal data distribution architectures within DOD operations.

Education and Certification Requirements:

Bachelor’s degree in Data Science, Computer Science, Engineering, or related STEM field.

Citizenship and Clearance requirements:

US Citizenship andan active TS SCI clearance required

Location:

PMAT office and NAVWAR Old Town Complex in San Diego, CA

Travel:

Under 10%

Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and potentially for business development.

PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

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