Senior Data Engineer (Public Trust)

Location: Bethesda MD (Hybrid)
Clearance: Public Trust (Role may require additional background investigations)
Employment Type: Full-Time

US Citizenship is Required

Position Overview:

Praescient Analytics is seeking an experienced Senior Data Engineer to support amajor 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 clients 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:

Experience

• 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.
• Bachelors degree in Data Science Computer Science Engineering Statistics or related field or equivalent professional experience.

Technical Skills

• 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:

• Masters 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.

What you can expect from us:

• 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

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

Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics engineering and DevOps specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011 we have supported over 40 organizations across diverse domains including military intelligence operations financial and fraud investigations and insider threat detection.

Our team of expertsskilled in cloud computing artificial intelligence machine learning data science DevOps and engineeringbrings 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. Praescients 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 and please visit our website to apply online at Experience:

Senior IC