Praescient Analytics · 15 hours ago
Senior Data Engineer (Public Trust)
Bethesda, MD
Full-time
Hybrid
Senior Level
5+ years expPraescient Analytics is seeking an experienced Senior Data Engineer to support a major federal data modernization and analytics program. This role is responsible for the design, development, optimization, and operational support of scalable, secure, and high-quality data pipelines that enable advanced analytics, machine learning, and AI-driven decision support in a regulated government environment.
AnalyticsBig DataOpen SourceSoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Design, build, and maintain production-grade ETL/ELT pipelines to ingest, transform, and curate large volumes of structured and unstructured data
Develop data workflows using Python-based frameworks and Microsoft Azure services, ensuring scalability, reliability, and fault tolerance
Optimize data pipelines for performance, cost efficiency, and maintainability
Architect and implement data solutions within Microsoft Azure, including:
Azure Data Lake Storage (ADLS Gen2)
Azure SQL and related data services
Azure Synapse Analytics
Design and manage workflow orchestration using Azure Data Factory (or equivalent) for scheduling, monitoring, and automation
Build and maintain Python-based data services and utilities using open-source libraries such as Pandas, NumPy, and related frameworks
Implement logging, monitoring, alerting, and performance tuning to support operational reliability
Apply data governance best practices, including data lineage, reproducibility, auditability, and compliance with federal standards
Maintain comprehensive documentation, including data dictionaries, pipeline designs, and process flows
Work closely with data scientists, AI/ML engineers, analysts, architects, and Agile project managers to ensure data pipelines meet analytical and operational requirements
Qualification
Required
US Citizenship is Required
Minimum of 5+ years of experience designing, building, and operating data pipelines supporting analytics and/or machine learning
Demonstrated experience working with large-scale datasets in production environments
Proven experience supporting cloud-based data platforms
Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field — or equivalent professional experience
Strong proficiency in Python (Pandas required; NumPy, scikit-learn, and related libraries preferred)
Advanced SQL skills and experience integrating relational data sources
Hands-on experience with Microsoft Azure, including Azure Data Lake Storage and Azure SQL
Experience with workflow orchestration tools such as Azure Data Factory
Familiarity with open-source data processing and ETL frameworks
Experience with logging, monitoring, and performance optimization for data systems
Proficiency with Git-based version control and collaborative development practices
Minimum of a Public Trust (U.S. Citizenship is Required)
Preferred
Master's degree or higher in Data Science, Computer Science, Engineering, Statistics, or related field — or equivalent professional experience
Microsoft Azure certifications (e.g., Azure Data Engineer Associate) strongly preferred
Experience working in federal, public-sector, or other regulated environments
Familiarity with data engineering patterns for secure, scalable systems
Experience supporting AI/ML workloads, feature engineering pipelines, or near-real-time analytics
Benefits
Very competitive salary based on qualifications and experience
Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
401(k) with company match
Travel & performance incentives
3 weeks paid time off (plus Federal Holidays)
$5K annual training allowance
$500 book allowance
Company
Praescient Analytics
Software and Technology Integrator
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Yvonne Soto
Owner & CEO
Company data provided by crunchbase