The Marlin Alliance
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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. 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 in roles such as business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software engineer Hands-on developer skillsets Fluency in Python, with capability to code without Modern libraries Experience in format conversions with 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 and ETL with tools such as Kafka, Apache Airflow, AWS Step Functions Experience with data stores (Apache Iceberg, Elasticsearch) and data lake management, including schema evolution Experience with real-time search and analytics engines for indexing and querying semi-structured data Experience optimizing data store queries for speed and de-duplication Direct experience implementing MIL-STD-6016 and MIL-STD-3011 Ability to 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 Preferences
Familiarity with DoD data architecture principles (e.g., DoDAF, CADM) Experience with DataOps or similar mission-critical pipeline automation (e.g., deduplication, schema normalization) Experience leveraging universal data distribution architectures within DoD operations Education And Certification Requirements
Bachelors degree in Data Science, Computer Science, Engineering, or related STEM field Work Environment and Mental/Physical Demands
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 accommodations may be made to enable individuals with disabilities to perform the functions, absent undue hardships. Must be able to perform work in a stationary position at a minimum of 50% of the time. Must have the ability to operate computer and other office productivity machinery consistently during work hours. Must have the ability to communicate and exchange information and ideas in an in-person or virtual setting through the use of online tools and available communication mediums. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions of their job, absent undue hardship. The Employer retains the right to change or assign other duties to this position as deemed necessary. Job Classification
Seniority level: Mid-Senior level Employment type: Full-time Industries: Business Consulting and Services This description includes standard EEO statements. Referrals and compensation ranges are provided for context where available. #J-18808-Ljbffr
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. 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 in roles such as business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, machine learning engineer, or software engineer Hands-on developer skillsets Fluency in Python, with capability to code without Modern libraries Experience in format conversions with 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 and ETL with tools such as Kafka, Apache Airflow, AWS Step Functions Experience with data stores (Apache Iceberg, Elasticsearch) and data lake management, including schema evolution Experience with real-time search and analytics engines for indexing and querying semi-structured data Experience optimizing data store queries for speed and de-duplication Direct experience implementing MIL-STD-6016 and MIL-STD-3011 Ability to 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 Preferences
Familiarity with DoD data architecture principles (e.g., DoDAF, CADM) Experience with DataOps or similar mission-critical pipeline automation (e.g., deduplication, schema normalization) Experience leveraging universal data distribution architectures within DoD operations Education And Certification Requirements
Bachelors degree in Data Science, Computer Science, Engineering, or related STEM field Work Environment and Mental/Physical Demands
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 accommodations may be made to enable individuals with disabilities to perform the functions, absent undue hardships. Must be able to perform work in a stationary position at a minimum of 50% of the time. Must have the ability to operate computer and other office productivity machinery consistently during work hours. Must have the ability to communicate and exchange information and ideas in an in-person or virtual setting through the use of online tools and available communication mediums. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions of their job, absent undue hardship. The Employer retains the right to change or assign other duties to this position as deemed necessary. Job Classification
Seniority level: Mid-Senior level Employment type: Full-time Industries: Business Consulting and Services This description includes standard EEO statements. Referrals and compensation ranges are provided for context where available. #J-18808-Ljbffr