Data Engineer

The Marlin Alliance, Inc. is continuously seeking talented candidates to join our elite team of Business Transformation professionals. Qualified candidates are highly encouraged to apply to our current and prospective openings listed below. Professionals who do not match our current vacancies may apply to the " General Interest " requisition to be considered for future opportunities.

The Marlin Alliance is seeking a forward-thinking Data Engineer in San Diego, CA to provide client support to our Navy client. This is an on-site role and applicants must have active DoD Secret Clearance.

Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies.

Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey.

This role is on-site in San Diego, CA and requires active TS/SCI clearance.

• 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.

• 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, Reg Ex
• 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 de-duplication
• 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.

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

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

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable…