
51 - 200 employees
Founded 2011
🎖️ Defense
🏛️ Government
🤖 Artificial Intelligence
Defense • Government • Artificial Intelligence
Praescient Analytics is a mission-focused analytics and engineering company that transforms data into actionable intelligence for government, defense, and law enforcement customers. It combines advanced analytics, AI/ML, data science, cyber analytics, and secure IT/cloud engineering to provide operational and investigative support, predictive modeling, and mission-ready technology solutions. The firm embeds experienced practitioners — former federal agents, intelligence officers, military veterans, data scientists, and engineers — to deliver precision-driven solutions that strengthen national security, combat threats, and optimize federal operations.
🔥 4 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2011
🎖️ Defense
🏛️ Government
🤖 Artificial Intelligence
Defense • Government • Artificial Intelligence
Praescient Analytics is a mission-focused analytics and engineering company that transforms data into actionable intelligence for government, defense, and law enforcement customers. It combines advanced analytics, AI/ML, data science, cyber analytics, and secure IT/cloud engineering to provide operational and investigative support, predictive modeling, and mission-ready technology solutions. The firm embeds experienced practitioners — former federal agents, intelligence officers, military veterans, data scientists, and engineers — to deliver precision-driven solutions that strengthen national security, combat threats, and optimize federal operations.
• Formulate, experiment with, and articulate alternative enterprise data architectures • Create comprehensive model, schema, ontologies, and interface specification documents, validating the data architecture against strict federal requirements and security assumptions • Design end-to-end data architectures, including data warehouses, data lakes, operational data stores, and metadata management repositories, aligning them with the Agile SAFe v6.0 roadmap • Author the blueprints for migrating and modernizing complex legacy data systems into highly distributed, cloud-native storage and analytical solutions specifically optimized for AWS GovCloud • Define enterprise data standards, data dictionaries, and master data management practices • Establish the governance models required to safely integrate third-party federal data sources while maintaining strict data lineage • Partner with backend engineers to design frameworks for high-volume, low-latency batch and stream processing pipelines (e.g., Kafka, Kinesis, Spark) that effortlessly bridge application and analytics tiers • Serve as the principal data advisor across the entire program • Work with software engineers, system architects, and customer application experts to evaluate technical trade-offs and drive advanced analytics capabilities • Leverage Jira, Confluence, and SAFe processes to translate high-level mission capabilities and agency mandates into foundational architectural epics, technical features, and data roadmaps.
• Active U.S. Secret clearance is required • Must be a U.S. Citizen to meet federal contract mandates • Bachelor’s degree in Computer Science, Data Architecture, Information Systems, or a related field with 10–12 years of relevant data design and integration experience OR Master’s degree in a related field with 8–10 years of relevant experience OR PhD in a related field with 5–7 years of relevant experience • Deep, extensive proficiency in conceptual, logical, and physical data modeling • Expert knowledge of relational (OLTP) modeling, dimensional (OLAP) modeling, Data Vault 2.0 methodology, and NoSQL structural design • Comprehensive experience designing and implementing enterprise cloud data structures within AWS and AWS GovCloud, specifically utilizing Redshift, Lake Formation, Glue, EMR, Athena, S3, and DynamoDB • Expert-level knowledge of enterprise-grade relational databases (Oracle, PostgreSQL), NoSQL engines, and massive parallel processing (MPP) data warehouses • Expert proficiency with industry-standard data modeling tools (e.g., Erwin, ER/Studio, or open-source equivalents), Git, Jira, and Confluence within an automated DevSecOps environment • Proven ability to work without supervision on highly complex, mission-critical projects, exercising wide latitude for independent judgment • Strong interpersonal skills with the ability to articulate complex data visions to both engineering teams and senior federal stakeholders.
• 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
Apply Now🔥 20 minutes ago
Engineer II at AARP focusing on data platforms and technical solutions. Collaborating with cross-functional teams to deliver valuable technology-based business solutions.
🇺🇸 United States – Remote
💵 $144k - $160k / year
💰 Grant on 2019-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
AWS
Cloud
PySpark
Python
SQL
🔥 25 minutes ago
Data Migration Specialist at Imagineeer supporting the Department of Health and Human Services HR IT migration. Assessing data quality and collaborating with teams for successful data transition.
Cloud
ETL
Informatica
MySQL
Oracle
Perl
Postgres
Python
SQL
SSIS
🔥 31 minutes ago
dbt Data Engineer for BlueCloud, focusing on designing, developing, and maintaining data pipelines and warehouses with dbt tools.
AWS
Azure
Cloud
Google Cloud Platform
SQL
🔥 40 minutes ago
Data Architecture & Governance Lead at Reef Point Group focused on enterprise data governance and architecture. Seeking experienced professionals to improve data quality and align data practices with mission objectives.
🔥 45 minutes ago
Data Architect/Program Lead at Intellect Solutions LLC developing cloud-based data infrastructures and leading data mesh initiatives. Collaborating with teams to achieve data governance and analytics goals.
Amazon Redshift
AWS
Azure
Cloud
ETL