Senior Data Engineer (OpAI)

• Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages
• 10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.
• Willingness to travel
• 100% On Site willingness
• Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
• Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
• Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
• Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
• Ability to operate in a DDIL office environment
• Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.
• Candidates should be prepared to complete a coding exercise as part of the interview process.

• Experience with large-scale data architecture across secure DoD or government environments.
• Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs.
• Experience architecting data solutions across multi-domain or cross-domain systems.
• Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments
• Experience with cloud-native data architecture and API design.
• Programming experience in Go or Rust.
• Proven experience designing, developing, and deploying complex data pipelines.
• Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC).
• Familiarity with event streaming technologies: (e.g. Kafka, AWS Kinesis, RabbitMQ, ZeroMQ).
• Experience deploying, monitoring, and optimizing operational data pipelines.
• Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores.
• Experience with AWS data services (EFS, RDS, S3, SNS, SQS).
• Experience with distributed computing: AWS Lambda, DASK, Spark.
• Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake.
• Experience managing, integrating, and retrieving GIS data (ArcGIS, PostGIS).
• Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)
• Strong analytical and problem-solving skills.
• Excellent communication skills in a collaborative team environment.
• Previous experience supporting government agencies or military organizations.

• Equivalent years of relevant experience in lieu of degree.
• Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.
• Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract.

Associate II $110,000 - $180,000

This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position.

Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments.

All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently.

Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others.

The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship.