Data Engineer

Dark Wolf Solutions is seeking a driven and innovative Data Engineer to join our team in Tampa, FL in support of a new proposal effort. As a Data Engineer, you will be instrumental in building and maintaining the data infrastructure that powers our AI/ML models, working alongside experienced professionals and shaping the future of this initiative. This position requires on-site support at MacDill Air Force Base in Tampa, FL.Key responsibilities include, but are not limited to:

• Enabling AI/ML Data pipelines as part of an AI/ML Data Factory.
• Testing and validating the performance of the AI/ML Data Factory.
• Designing, developing, and maintaining robust and scalable data pipelines in support the AI/ML Data Factory.
• Testing and validating the performance of the AI/ML Data Factory to ensure data quality and reliability.
• Assist with data acquisition, ingestion, and tagging; data exploration and understanding; feature extraction and analysis; data engineering and conditioning; and data labeling.
• Constructing AI/ML datasets, ensuring they meet the specific requirements of our AI/ML models.
• Building edge-compatible pipelines using NVIDIA Triton Inference Server, TorchServe, or TF Lite to enable AI-as-a-service in contested and disconnected networks.
• Deploying containerized AI workloads using Docker, K3s, and Istio across Zero Trust micro-segmented environments following NSA Kubernetes STIG guidance.
• Designing data acquisition and preprocessing workflows with Apache Kafka, Airbyte, and Apache NiFi for ingesting telemetry, EO/IR, and SIGINT sources into LLM/LVM training pipelines. 
• Using Elastic Stack, OpenSearch, and Neo4j to store, search, and graph-represent AI-extracted insights within a mission-relevant knowledge base.

Required Qualifications: 

• 5+ years of experience performing data engineering efforts to include: data architecture, modeling, cleansing, ingesting, updating, and visualization
• 2+ years of experience working with Cloud environments
• 1+ year experience using scripting languages such as R, Python, or Javascript
• 1+ years experience using Big Data technologies and tools (e.g. Spark, Hadoop, Hive, Cassandra, Druid, Flink, Drill, Trino, NoSQL)
• Experience with a variety of open source and commercial ETL tools for preparing and loading data for AI/ML analytics
• Ability to manipulate raw data into effective visualization dashboards Ability to communicate end to end data outcomes visually
• Demonstrates a deep understanding of multiple database concepts
• Understanding of SQL
• Comfortable in a project startup environment 
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• US Citizenship and an active Top Secret security clearance required

Desired Qualifications:

• Master’s degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience
• A cloud certification in AWS, Azure, or GCP