Jobs at Analytica

Build and operate secure data pipelines and workflows supporting machine learning, NLP, retrieval, RAG, and advanced analytics. Prepare structured and unstructured data, develop features and embeddings, enforce data quality and lineage, troubleshoot integrations, document architectures, and support deployment in Federal on-premises, cloud, or hybrid environments. The role requires Python and SQL expertise, cross-functional collaboration, and compliance with Federal security and governance requirements.

Develop and integrate full-stack web applications for a secure Federal data analytics and AI modernization platform. Responsibilities include building front-end and back-end components, REST APIs, databases, data services, automated tests, CI/CD pipelines, and secure application capabilities. The role also involves performance optimization, technical documentation, cross-functional collaboration, and applying security, privacy, accessibility, governance, and records-management requirements.

Develop production AI applications for retrieval, semantic search, summarization, document analysis, and decision support. Build RAG pipelines, embeddings, vector search, Python APIs, prompt orchestration, guardrails, source citation, evaluation, and output validation. Integrate AI services with databases, search platforms, APIs, and data pipelines while addressing security, privacy, governance, and accessibility. Collaborate across AI, data, and software engineering teams in a secure Federal environment.

Administer and secure Linux systems and enterprise infrastructure across development, testing, staging, and production environments. Manage identity, access, storage, certificates, patching, hardening, monitoring, logging, backups, recovery, and incident response. Troubleshoot operating system, application, network, storage, and infrastructure issues while coordinating with technical teams. Maintain documentation and support security, privacy, data governance, and operational reliability requirements in Federal or regulated environments.

Facilitate Scrum and Agile delivery for multidisciplinary software, data, analytics, and AI/ML teams supporting a Federal modernization initiative. Lead ceremonies, manage backlogs, remove impediments, coordinate dependencies, track delivery metrics, coach teams, document decisions and risks, and support compliance with security, privacy, accessibility, data governance, and records-management requirements.

Develop and maintain data pipelines and reproducible workflows for structured and unstructured Federal grants and financial data. Prepare datasets, features, documents, embeddings, and retrieval workflows for AI/ML and advanced analytics. Implement data quality, provenance, lineage, metadata, and traceability controls; troubleshoot integrations; document technical processes; and support secure Federal deployments while meeting governance, privacy, security, and accessibility requirements.

Designs, automates, deploys, and operates secure platform infrastructure, container environments, CI/CD pipelines, configuration management, observability, and platform services. Supports applications, databases, data pipelines, and AI/ML workloads across Linux, cloud, on-premises, and hybrid environments. Responsibilities include infrastructure provisioning, monitoring, networking, reliability, patching, vulnerability remediation, backup, disaster recovery, troubleshooting, documentation, and collaboration with engineering, data, AI/ML, and security teams.

Develop accessible, responsive, production-ready web interfaces for federal analytics and AI platforms. Build reusable UI components, integrate REST APIs and backend services, create dashboards and data visualizations, implement automated testing, and optimize performance, usability, accessibility, and browser compatibility. Collaborate with UX, engineering, data, and AI teams while addressing security, privacy, governance, and records-management requirements.

Leads user research and accessible UX design for complex examiner-facing analytical and AI-assisted Federal workflows. Responsibilities include workflow analysis, information architecture, prototyping, usability testing, dashboard design, human-in-the-loop AI interactions, documentation, and collaboration with agencies and technical teams. The role requires compliance with Federal security, privacy, accessibility, records-management, and data-ownership requirements, including Section 508.

Build and maintain scalable data pipelines, reusable connectors, RESTful data services, and transformation processes for structured and unstructured agency data. Implement validation, reconciliation, deduplication, lineage, metadata, monitoring, logging, auditability, and optimized data models. Develop SQL and Python solutions, automated tests, and CI/CD pipelines in secure Federal environments. The role requires U.S. citizenship and eligibility for Top Secret clearance, with active clearance preferred.

Set technical direction for secure, traceable, human-in-the-loop agentic AI and analytics supporting Federal data modernization. Design AI architecture, model strategies, retrieval patterns, evaluation methods, guardrails, and governance. Lead collaboration with agencies and multidisciplinary teams, document platform operations and transition requirements, and ensure compliance with Federal security, privacy, accessibility, records-management, and data-ownership standards.

Leads end-to-end quality assurance for a federal data analytics and AI modernization platform. Develops QA strategies, test plans, automation frameworks, quality gates, and CI/CD integration across applications, APIs, databases, data pipelines, analytics, accessibility, security, and AI/LLM outputs. Establishes data-quality and AI-evaluation controls, validates traceability and accuracy, manages defects and quality metrics, and collaborates with engineering, data, cybersecurity, product, and government stakeholders.

Leads hands-on development of secure Federal full-stack applications, including Java/.NET backend services, REST APIs, dashboards, data-access layers, AI-assisted workflows, and integrations of structured and unstructured data. Establishes engineering standards, testing, CI/CD, security controls, and scalable architectures for on-premises, hybrid, and controlled environments. Provides technical leadership, troubleshooting, documentation, and cross-functional collaboration while supporting delivery of the initiative’s MVP.

Designs enterprise data architectures, shared models, vocabularies, governance, lineage, and integration patterns for Federal grants and financial data. Integrates structured, semi-structured, and unstructured sources; defines scalable database, API, ingestion, and interoperability patterns; documents solutions; collaborates with agencies and technical teams; and ensures compliance with Federal security, privacy, accessibility, records-management, ownership, and auditability requirements.

Designs secure, modular, on-premises platform architectures for data ingestion, storage, analytics, AI services, APIs, reporting, and future growth. Defines target and transition architectures across environments; establishes modular boundaries, scalability, observability, resilience, accessibility, security, and records-management requirements. Produces architecture diagrams, technical decisions, standards, interface guidance, and transition documentation while evaluating tradeoffs and communicating with technical and executive stakeholders in secure Federal environments.

Leads graph database development, data modeling, query optimization, and ETL pipelines for large structured and unstructured datasets. Designs schemas, indexes, relationships, and hybrid data structures aligned with ontologies and business requirements. Collaborates with database administrators, engineers, and stakeholders to validate data quality and reliability, while documenting graph models, ETL processes, and scripts according to government and industry standards.

Develops, coordinates, edits, and quality-assures audit reports, findings narratives, executive summaries, and compliance deliverables for CMS and Medicaid programs. Translates complex technical, policy, clinical, and operational information into clear client-ready reports while ensuring adherence to CMS standards, audit methodologies, federal requirements, schedules, and quality standards. Coordinates inputs from multiple contributors, manages version control, maintains documentation repositories, and incorporates stakeholder feedback across concurrent audits.

Design, develop, test, deploy, and maintain secure enterprise web applications for a federal client. Build APIs, microservices, integrations, and cloud-native solutions; modernize legacy systems; implement automated testing, CI/CD, DevSecOps, and secure coding practices; troubleshoot production issues; document technical solutions; and participate in Agile ceremonies. Senior candidates provide technical leadership, mentorship, and architecture input.

The Chief Enterprise Architect will oversee the design and integration of cloud and data architecture solutions for government projects, ensuring alignment with industry standards and best practices.

Build, deploy, and maintain secure, scalable data pipelines and analytics on AWS/Databricks. Implement CI/CD, governance (Unity Catalog, lineage), platform observability, and operational support for enterprise datasets and Databricks SQL reporting.