Sparksoft Corporation

Oracle DBA

• Install and maintain Oracle database software
• Create secure storage database structures
• Alter database structures to meet evolving business requirements
• Manage database user access and security
• Implement backup and recovery plans
• Monitor and optimize database performance
• Identify and resolve database issues
• Implement disaster recovery plans
• Work with development teams to improve database performance
• Create and manage multiple databases
• Assist with capacity planning
• Monitor, optimize, and allocate physical data storage
• Plan for future database expansion requirements
• Manage project Oracle database systems to ensure availability, reliability, and security
• Support development teams' data management needs and database integrity

DBA, Oracle/Postgres

Business Analyst

• Solicit, understand, and document health insurance marketplace needs, customer business requirements, processes, and workflows
• Research market trends and the ACA landscape to support timely, accurate, and relevant product features and requirements
• Work with developers to create functional specifications
• Serve as a subject matter expert for developers and collaborate with QA to test functionality
• Lead a Product Development team using Scaled Agile Framework (SAFe)
• Work with CMS, Business Development, product owners, developers, testers, and production support throughout the software development lifecycle
• Demonstrate existing and new functionality to CMS stakeholders
• Perform market and competitive analysis and contribute to product roadmaps
• Deliver detailed functional specifications, including workflows, business rules, interface definitions, outstanding issues, data analysis, and data mapping
• Interact directly with federal agencies to document interface requirements and facilitate integration testing
• Gather requirements and build and document development specifications
• Update and maintain the Requirements Traceability Matrix
• Conduct gap analysis and collaborate with architects and developers to estimate project impact
• Communicate, verify, and test functionality changes with Product Development, QA, and Production Support teams
• Develop detailed knowledge of federal marketplace data services and perform collaborative service demonstrations
• Collaborate with application development organizations to align with health insurance marketplace priorities and deliverables
• Assist with training materials and product documentation
• Manage multiple competing priorities
• Track project schedules and associated risks
• Coordinate involved parties using project management skills and techniques
• Perform other assigned project tasks

DevOps Engineer

• Collaborate with scrum team members under the DevOps Manager to develop and implement DevOps culture across the project team
• Manage RedHat Enterprise Linux operating-system patching across the ecosystem using AWS automation tools
• Install, configure, and maintain tools for source control, continuous integration, deployment, monitoring, database management, repository management, provisioning, release management, logging, building, testing, containerization, collaboration, and security
• Lead system administrators and serve as a point of escalation
• Deploy RedHat operating-system patches using AWS System Manager Automation documents
• Implement CI/CD tools
• Work with source-control, continuous-integration, deployment, monitoring, repository-management, provisioning, logging, build, testing, collaboration, and security tools
• Support applications on AWS cloud

Senior DevSecOps Engineer

Data Analyst

• Serve as the principal authority for data analytics, statistical analysis, data management, and data quality oversight
• Lead and manage data analytics team activities and work with federal customers on analytics lane updates
• Oversee data collection, ingestion, processing, analysis, interpretation, validation, and reporting
• Partner with program leads, customers, and technical teams to drive data-informed decision-making and analytics strategy
• Serve as subject matter expert for data analytics, modeling, and decision-support solutions
• Lead analysis initiatives across operational, population, and vendor-supplied datasets
• Manage the end-to-end data lifecycle, including ingestion, transformation, integration, validation, storage, and distribution
• Design and optimize scalable data pipelines, ETL processes, and automated data workflows
• Standardize, normalize, and structure data for analytics, reporting, and business intelligence
• Establish data quality standards, governance policies, and monitoring processes
• Identify and resolve data anomalies, quality issues, and source-system deficiencies
• Apply statistical, predictive, diagnostic, and trend analysis techniques
• Perform forecasting, optimization, modeling, risk assessment, and performance measurement
• Conduct quantitative analysis of program effectiveness, operational efficiency, and business outcomes
• Transform complex datasets into business-ready information for operational and executive decision-making
• Develop dashboards, reports, visualizations, executive briefings, standardized reporting frameworks, and KPIs
• Evaluate emerging data sources through pilot programs, feasibility studies, and cost-benefit analyses
• Ensure compliance with data governance, security, privacy, and organizational standards
• Promote data stewardship, governance, and best practices across stakeholders and data providers
• Drive continuous improvement of analytics capabilities, data management processes, and organizational data maturity

Data Analytics Lead – Public Health

Data Engineer

• Partner with business stakeholders, product owners, architects, and technical teams to understand business objectives, data requirements, and operational needs
• Build data pipelines using multiple data sources, PostgreSQL, AWS Grafana, AWS QuickSight, AWS infrastructure, and associated integration technologies
• Design and implement secure, scalable, resilient, and cost-optimized cloud data solutions
• Define and implement scalable data ingestion, transformation, and consumption patterns
• Establish data engineering standards, best practices, and reusable design patterns
• Design, develop, and optimize conceptual, logical, and physical data models for analytics, reporting, dashboards, and operational systems
• Evaluate emerging technologies and recommend platform and performance improvements
• Ensure data architecture aligns with business requirements, governance standards, and scalability needs
• Collaborate with analytics, reporting, and business intelligence teams to deliver high-quality data products and trusted data assets
• Perform advanced data analysis and profiling using SQL and Python
• Establish monitoring, alerting, observability, and automated recovery mechanisms for critical data pipelines
• Ensure compliance with security, privacy, and regulatory requirements
• Collaborate with Agile teams to deliver iterative business value while maintaining technical quality and delivery commitments
• Communicate technical concepts, risks, solutions, and recommendations to technical and non-technical stakeholders