Jobs at Analytica

As a Data Engineer, design and manage data pipelines, ensure data quality, optimize ETL processes, and support data integration for analytics workflows.

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.

Develop, deploy, and maintain analytics, machine learning, NLP, and generative AI solutions for defense health clients. Perform data acquisition, ETL, feature engineering, model development, evaluation, and monitoring. Build visualizations and dashboards, integrate APIs and AI services, collaborate with stakeholders, and produce documentation and deliverables within Agile, Git-based teams.

Design, build, test, deploy, and maintain secure, scalable enterprise web applications and APIs. Modernize legacy systems, implement CI/CD/DevSecOps, meet federal security and accessibility requirements, troubleshoot production issues, and participate in Agile teams. Senior candidates provide technical leadership and mentorship.

Design, build, validate, and present production-ready NLP models: preprocess text, engineer features, select and train ML/deep learning/transformer models, evaluate results, and communicate insights to federal clients.

Design, train, deploy, and monitor ML/AI models and MLOps pipelines (including NLP, LLM, RAG, generative AI). Optimize performance, integrate models into applications/APIs, ensure security, documentation, and collaboration with engineers, analysts, and SMEs for federal missions.

Lead design, build, optimization, and operation of scalable Databricks-based batch and streaming data pipelines for healthcare programs. Ensure DataOps, data quality, lineage, observability, CI/CD, and compliance with CMS and federal healthcare regulations. Collaborate with architects, data scientists, and stakeholders, troubleshoot production issues, and mentor junior engineers.

Lead architect for enterprise data science and advanced analytics. Design scalable Databricks/Spark-based data platforms, end-to-end ML workflows, and data architectures. Provide technical vision, mentor teams, establish model governance, and partner with stakeholders to deliver production ML and analytics solutions.

Lead DevSecOps architect designing and implementing secure, automated, scalable cloud and hybrid data platforms (Databricks/AWS). Build CI/CD and IaC pipelines, integrate security and compliance, mentor teams, drive platform standardization, and provide strategic architecture guidance to stakeholders and executives.

Lead fraud analytics efforts to detect identity theft, fabricated entities, and emerging schemes. Validate models and rules via return- or case-level review, identify patterns, support stakeholder briefings, translate analytics into operational mitigation and treatment recommendations, and produce dashboards and documentation for leadership and oversight.

Lead and coordinate a mission-critical IRS fraud analytics program: manage multi-workstream execution, align contractor activities with government priorities, translate model and metric results into actionable recommendations, and oversee portfolio-level reporting and risk tracking.

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).

Provide senior-level system administration for enterprise Windows and Linux infrastructures: manage Active Directory, virtualization, patching/hardening, automation scripting, server hardware lifecycle, and incident escalation while coordinating with network, cybersecurity, and service desk teams.

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.