Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments

Job Description:

We are seeking a Data Engineer SME with a strong ETL emphasis to design, build, and maintain data collection, processing, and integration pipelines that centralize and structure data from various web-based applications. You will work closely with software developers, data analysts, and product teams to ensure seamless data flow, high-quality data storage, and efficient retrieval methods. This role is ideal for someone passionate about data-driven decision-making and optimizing data aggregation processes while exploring and identifying right-sized technologies and computing resources.

This is not a Data Science, Big Data, ML-Ops, or AI-related role. Instead, this position focuses on wrangling disparate data sources into unified, consumable data APIs for internal and external stakeholders. This is an onsite position in Crystal City, VA.

Job Duties Include (but not limited to):

• Design, develop, and implement scalable data pipelines and ETL processes using Apache Airflow, with a focus on data for AI applications.
• Develop messaging solutions utilizing Kafka to support real-time data streaming and event-driven architectures.
• Build and maintain high-performance data retrieval solutions using ElasticSearch/OpenSearch.
• Implement and optimize Python-based data processing solutions.
• Integrate batch and streaming data processing techniques to enhance data availability and accessibility.
• Ensure adherence to security and compliance requirements when working with classified data.
• Work closely with cross-functional teams to define data strategies and develop technical solutions aligned with mission objectives.
• Deploy and manage cloud-based infrastructure to support scalable and resilient data solutions, including AWS S3.
• Optimize data storage, retrieval, and processing efficiency, focusing on big data and the use of Parquet files.
• Utilize Trino for distributed SQL query processing.
• Leverage OpenMetaData for data discovery and governance.
• Implement APIs using FastAPI for streamlined data interaction.
• Ensure proper implementation of PKI’s & ACCM’s.
• Integrate DIAS solutions within the data pipeline framework.

Required Skills & Experience:

• Extensive experience with Apache Airflow for workflow orchestration.
• Strong programming skills in Python.
• Familiarity with Trino for enhanced SQL query processing in large datasets.
• Experience with ElasticSearch/OpenSearch for data indexing and search functionalities.
• Understanding of vector databases, embedding models, and vector search for AI applications.
• Expertise in event-driven architecture and microservices development.
• Hands-on experience with cloud services, particularly AWS S3 and MinIO, including data storage and compute resources.
• Strong knowledge of Reggo and its application within data environments.
• Understanding of big data technologies and file formats like Parquet.
• Expertise in data pipeline orchestration and workflow automation.
• Working knowledge of Linux environments and database optimization techniques.
• Strong understanding of version control with Git.
• Familiarity with OpenMetaData for data management.
• Experience implementing FastAPI for building scalable APIs.
• Due to US Government Contract Requirements, only US Citizens are eligible for this role.

Education & Certifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus.

Security Clearance:

• An active TS/SCI security clearance is REQUIRED, and candidates must have or be willing to obtain a CI Poly. Candidates without this clearance will not be considered.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans