Jobs at Analytica

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.

Lead delivery of a CMS program overseeing contract performance, stakeholder engagement, governance, quality and risk management, and coordination of statistical review and overpayment estimation analyses, ensuring timely, high-quality analytical products and communication with CMS and subcontractors.

Design, build, evaluate, and operationalize NLP and generative AI solutions including document classification, extraction, summarization, LLMs and agentic systems. Integrate with enterprise data, develop front-end interfaces (JavaScript) and backend APIs/microservices (Python, Flask/FastAPI).

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.

The z/OS Mainframe Programmer will design and implement solutions for legacy mainframe applications, focusing on IRS tax processing and system integration while ensuring compliance and system performance.

The DevSecOps Solutions Architect role involves developing and maintaining DevSecOps infrastructure, mentoring teams, and collaborating with federal clients on high-quality technology solutions.

The Program Manager will oversee government contracts, manage client relationships and delivery teams, and ensure compliance with regulations and project budgets.

The Senior DevOps Engineer will implement and automate DevOps processes, manage AWS pipelines, analyze system performance, and create documentation for efficiency.

The Data Architect will design and implement scalable data solutions, modernize data environments, and ensure compliance with federal data standards while mentoring teams and collaborating with stakeholders.

The internship program at Analytica allows students to gain hands-on experience in various business and technical domains, supporting real-world projects and collaborations.

The Technical Lead oversees data engineering teams, mentors engineers, and contributes hands-on to design, development, and delivery of data solutions in AWS using Databricks.

Lead the design, implementation, and optimization of secure, scalable IT infrastructure for advanced analytics and machine learning workloads, ensuring reliability and performance while mentoring engineering teams.

Analyze Military Health System healthcare and operational data for Defense Health Agency decision-making. Build and maintain Power BI or Tableau dashboards, perform data validation and quality checks, fulfill recurring and ad-hoc reporting requests, and communicate insights to technical and non-technical stakeholders. The role also documents analytical processes, supports client meetings, and contributes to reporting and visualization improvements.

Design and implement star-schema dimensional models and ETL pipelines, optimize SQL Server data operations, develop data processes and applications, deploy data solutions via CI/CD, and collaborate with clients to meet analytics and business requirements.

Lead technical strategies for AI and IT infrastructure in government projects, focusing on agile development, architecture design, and risk management.

Lead design, development, and deployment of MLOps infrastructure for defense applications, ensuring integration, compliance with responsible AI practices, and real-time decision-making capabilities.

Lead the development and implementation of AI initiatives across the Department of Defense, ensuring ethical, safe, and effective AI adoption while maintaining compliance with principles of responsible AI.

Manage federal project delivery, facilitate Agile ceremonies, interface with clients, and drive success in technology solutions.

Lead development and deployment of advanced analytics, machine learning, and generative AI solutions for a defense health program. Perform data acquisition, ETL, model development, validation, monitoring, and API integration. Collaborate with clients and stakeholders, produce technical documentation, and operationalize ML/AI solutions using modern data platforms and best practices in a fast-paced, Agile environment.