Jobs at Analytica

Translate clinical and operational needs into technical requirements for data integration, ETL, SQL development, data modeling, reporting, and data quality. Support ETL operations, create documentation and test plans, coordinate UAT, and ensure compliance with federal and DoD healthcare regulations.

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 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 financial planning, forecasting, reporting, pricing support, subcontractor PO management, and resource planning across federal programs. Partner with program managers and leadership to analyze variances, model scenarios, ensure ERP project setups, support proposal pricing, identify risks and recommend mitigations, and drive process improvements including AI-enabled reporting. Provide mentorship and support PMO maturation.

The Systems Administrator will support federal projects by managing hardware, software, network, security configurations, and disaster recovery while providing technical support and improving user experience.

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.

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.

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 Java Technical Lead will oversee the design and development of healthcare applications, mentor developers, and ensure compliance with CMS standards while managing technical delivery.

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.

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.