Posted today
Public Trust
Unspecified
Unspecified
IT - Database
(On-Site/Office)
Senior Data Engineer
General Information
Requisition # 657
Locations USA-VA-Arlington
Posting Date 02/10/2025
Security Clearance Required - Public Trust
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Engineer. The Senior Data Engineer will lead the design, construction, and optimization of scalable data pipelines and services that support advanced analytics and machine learning solutions. This role focuses on data quality, performance, and interoperability within modern cloud environments, advancing strategic initiatives such as Sentinel-driven product safety analytics. The engineer will deliver secure, efficient, and reproducible data workflows that enable predictive modeling, real-time monitoring, and actionable insights.
Responsibilities include but are not limited to:
Minimum Qualifications:
Preferred Qualifications:
Clearance Requirements:
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.
General Information
Requisition # 657
Locations USA-VA-Arlington
Posting Date 02/10/2025
Security Clearance Required - Public Trust
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Engineer. The Senior Data Engineer will lead the design, construction, and optimization of scalable data pipelines and services that support advanced analytics and machine learning solutions. This role focuses on data quality, performance, and interoperability within modern cloud environments, advancing strategic initiatives such as Sentinel-driven product safety analytics. The engineer will deliver secure, efficient, and reproducible data workflows that enable predictive modeling, real-time monitoring, and actionable insights.
Responsibilities include but are not limited to:
- Data Pipeline Engineering & Cloud Integration
- Design, develop, and optimize production-grade ETL workflows using Python and Microsoft-based frameworks to ingest, transform, and validate large-scale structured and unstructured data.
- Implement schema enforcement, data validation, and quality checks to maintain integrity across diverse sources, while optimizing pipelines for performance, scalability, and fault tolerance using cloud-native and open-source patterns.
- Architect and manage Azure-based data solutions, including Data Lake Storage, Azure SQL, and Python-accessible cloud storage, ensuring secure API and service integration.
- Design and deploy workflow orchestration with Azure Data Factory or Foundry for scheduling, monitoring, and automation.
- Advanced Technical Development & Services
- Build Python-based data services using Pandas, PyTorch, and other open-source frameworks for high-performance processing.
- Develop API endpoints and microservices to enable interoperability with analytics and ML platforms
- Implement logging, monitoring, and performance tuning to ensure robust operational reliability.
- Collaboration, Governance & Agile Delivery
- Partner with data scientists, analysts, and cloud architects to deliver clean, reliable data for predictive modeling and real-time dashboards.
- Apply data governance best practices to ensure compliance, reproducibility, and auditability across workflows.
- Contribute to Agile team processes, driving iterative improvements, collaborative problem-solving, and continuous enhancement of data delivery.
Minimum Qualifications:
- Experience & Core Skills
- 5+ years developing and deploying advanced statistical and machine learning models or supporting data pipelines for such models.
- Proficient in Python (Pandas required; scikit-learn, NumPy, PyTorch, TensorFlow, and related libraries preferred) and strong SQL skills for integrating relational data.
- Hands-on experience in cloud environments (Azure); Microsoft Data Engineer certification advantageous.
- Technical Expertise & Implementation
- Build production-grade data pipelines and ETL workflows using Python and Microsoft technologies, including Azure Data Lake Storage and Azure SQL.
- Ensure data validation, schema enforcement, and quality assurance, while developing APIs within the Microsoft ecosystem.
- Optimize performance, implement logging and monitoring, and deploy Python-based data services at scale.
- Design and manage workflow orchestration with Azure Data Factory to automate, monitor, and streamline data operations.
Preferred Qualifications:
- Masters, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or a related field.
- Familiarity with data engineering patterns for building scalable, secure systems in regulated environments.
Clearance Requirements:
- Current Public Trust Desired
- Must be a US Citizen and be able to obtain and maintain a Public Trust clearance prior to starting this position.
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.
group id: 10523669
