Data Engineer

Dark Wolf Solutions is seeking a Data Engineer to design, develop, test, and validate AI/ML pipelines for a new Data Factory supporting the Department of Defense (DoD). The role involves enabling AI/ML data pipelines, testing and validating the performance of the Data Factory, and assisting with various data-related tasks such as acquisition, ingestion, tagging, exploration, feature extraction, and analysis. The ideal candidate should have experience in data engineering, cloud environments, scripting languages, big data technologies, ETL tools, data visualization, and database concepts. A Bachelor's Degree in Information Systems, Computer Science, Engineering, or a related field is required.

• Enabling AI/ML Data pipelines as part of an AI/ML Data Factory
• Test and validate the performance of the AI/ML Data Factory
• Assist with data acquisition, ingestion, and tagging; data exploration and understanding; feature extraction and analysis; data engineering and conditioning; data labeling; and constructing, training, and validating AI/ML Datasets

• 5+ years of experience performing data engineering efforts including 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)
• Experienced 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 Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and exp

• Competitive salary and compensation package
• Opportunity to work on cutting-edge AI/ML pipelines
• Chance to contribute to a new Data Factory initiative supporting DoD
• Exposure to Cloud environments and Big Data technologies
• Experience with a variety of open source and commercial ETL tools
• Ability to manipulate raw data into effective visualization dashboards
• Opportunity to communicate end-to-end data outcomes visually
• Deep understanding of multiple database concepts
• Comfortable working in a project startup environment
• Opportunity for career growth and advancement
• Onsite work location in Tampa, FL