What are the responsibilities and job description for the Senior Data Engineer (Public Trust) position at Praescient Analytics?
Location: Bethesda, MD (Hybrid)
Clearance: Public Trust (Role may require additional background investigations)
Employment Type: Full-Time
Position Overview
US Citizenship is Required
Praescient 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.
The Senior Data Engineer plays a critical role in the client’s transition from legacy, on-premises systems to a cloud-native, open-source analytics ecosystem built on Microsoft Azure. This position ensures that data is reliable, performant, well-governed, and readily consumable by data scientists, analysts, and AI/ML engineers supporting mission-critical use cases.
Key Responsibilities
Required Qualifications:
Preferred Qualifications
Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.
Clearance: Public Trust (Role may require additional background investigations)
Employment Type: Full-Time
Position Overview
US Citizenship is Required
Praescient 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.
The Senior Data Engineer plays a critical role in the client’s transition from legacy, on-premises systems to a cloud-native, open-source analytics ecosystem built on Microsoft Azure. This position ensures that data is reliable, performant, well-governed, and readily consumable by data scientists, analysts, and AI/ML engineers supporting mission-critical use cases.
Key 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.
Required Qualifications:
- 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.
Preferred Qualifications
- 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.
- Real opportunity for career growth in an environment where your achievements will be celebrated
- Constant collaboration with numerous teams to ensure client success
- A team that respects and embraces your ideas and expertise
- Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
- A workplace dedicated to supporting and bettering public safety and government agencies
- 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
Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.
Salary : $500 - $5,000