Data Engineer SME
2 weeks ago
Data Engineer SME - Hybrid
Job Locations
US-VA-Springfield
Job ID
2024-2432
Clearance Level
Top Secret SCI
Overview
Iron EagleX (IEX) is a technology-driven innovator dedicated to IT modernization and cutting-edge technical solutions in the fields of data science, artificial intelligence/machine learning (AI/ML), and other specialized areas of computer science. We also deliver advanced intelligence and cybersecurity services to the U.S. Department of Defense and other federal agencies. Our team of experts thrives on solving complex challenges, driving mission success through innovation, and fostering a collaborative culture that values integrity and excellence. Joining IEX means contributing to critical missions, working with leading technologies, and advancing your career in a dynamic and rewarding environment.
ResponsibilitiesJob Description:
We are currently seeking a Data Engineer SME to lead data engineering initiatives for high-priority projects. This position requires extensive expertise in data architecture and system engineering, supporting sophisticated mission systems within dynamic environments. This is a hands-on, hybrid (3 days onsite, 2 days remote) role located in Springfield, VA.
The Data Engineer SME will play a critical role in developing, implementing, and managing advanced data pipelines and architecture to support high-level government objectives. Working directly on classified projects, this individual will be responsible for developing, maintaining, and securing data flows, employing expertise in cloud-based solutions and data engineering tools.
Job Duties Include (but not limited to):
- Design, develop, and implement data pipelines and ETL processes using AWS and Azure native tools (e.g., Glue, SNS) to support secure and efficient data processing.
- Apply proficiency in data flow and orchestration tools, including NiFi and Airflow, to ensure optimal pipeline performance.
- Develop scalable microservices for data handling and transformation, suitable for high-volume data ingestion and processing.
- Curate, cleanse, and secure data to support accurate and safe data transfers across multiple classification levels.
- Develop solutions to support both batch and streaming data processing.
- Integrate data pipelines with data lakes and warehouses, enhancing data accessibility and efficiency.
- Work collaboratively with cross-functional teams to deliver mission-critical data requirements.
- Ensure adherence to data handling best practices and compliance with security requirements when working with classified datasets.
- Employ data visualization techniques to make data more accessible and actionable for mission teams.
Qualifications
Required Skills & Experience:
- Python: PySpark and Polars experience preferred.
- SQL: Preference for PostgreSQL and TrinoSQL, but any variant is fine.
- Git
- Trino: Familiarity with Kubernetes and Helm charts.
- Deploying software in Kubernetes with CI/CD.
- ETL tools: Airflow preferred.
- ElasticSearch
- Working in a Linux environment.
- Database optimization
- 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
Benefits:
- National Health, vision and dental plans
- 20 days of PTO and 11 paid holidays
- Life Insurance
- Short - and long-term disability plans
- 401(K) retirement plans
- Incentive and recognition programs
- Relocation opportunities
Iron EagleX is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
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