• Design and develop technical specifications for an interoperability middleware based on client's SMART Guidelines. • Support subject matter experts in defining and validating data dictionary mappings. • Design mapping logic between surveillance systems such as DHIS2, SORMAS, Go.Data, OpenELIS, and other health information systems. • Identify interoperability gaps and propose scalable technical solutions. • Document architecture decisions, interoperability workflows, and design trade-offs. • Develop specification frameworks aligned with client's SMART Guidelines, ICD-11, LOINC, SNOMED CT, and other healthcare interoperability standards. • Contribute to the design of AI agent frameworks and orchestration layers supporting data integration. • Configure and optimize relational and graph/network database environments. • Develop scalable ingestion frameworks capable of operating in both cloud and on-premises environments. • Implement staging layers for data ingestion, validation, transformation, harmonization, and quality assurance. • Design synchronization mechanisms supporting low-resource environments and offline data collection. • Develop production-grade ETL/ELT pipelines to automate ingestion and processing of surveillance datasets. • Build AI-assisted workflows and agent-driven mechanisms for extracting and integrating data from systems such as DHIS2, SORMAS, EWARS, and other external sources. • Implement automated processes for data validation, cleansing, deduplication, normalization, and harmonization. • Ensure pipelines efficiently process heterogeneous datasets while delivering high-quality data for analytics and modelling teams. • Optimize pipeline performance, scalability, and reliability. • Develop automated workflows for weekly and monthly surveillance reports and situation reports (SitReps). • Build APIs and data export services supporting downstream analytics and modelling. • Develop clean analytical datasets optimized for threshold analysis and collaborative modelling. • Support dashboard development and data visualization initiatives. • Ensure reporting infrastructure meets security, performance, and interoperability requirements.

Role Description We are looking for a detail-oriented and organized Data-Focused Project Coordinator to support the planning, execution, and completion of key projects. This role requires proficiency in Business Intelligence tools , strong data management skills, and the ability to work effectively in a fast-paced environment. - Support project management tasks, ensuring timely delivery. - Use Business Intelligence tools to analyze and visualize data for actionable insights. - Maintain accurate project documentation and validate data accuracy. - Collaborate with teams to create detailed reports and support decision-making. Qualifications - Proficiency in Business Intelligence tools - Strong attention to detail, organizational, and analytical skills. - A basic understanding of database systems and validation processes is a plus. - Experience using and improving AI-driven workflows is highly valued. - Proficiency in Russian and/or Ukrainian languages. Company Description INFUSE is a demand generation company providing solutions to B2B organizations. We help clients and partners to deliver audience, buyers, and account engagement that meets their goals. With a global team operating across more than 60 countries, the company has been recognized multiple times on the prestigious Inc. 5000 list, and has received over 60 other industry awards, including Inc. Best Workplaces.

Role Description The Data Engineering & AI/ML capability serves as the backbone of our organization's data-driven operations. We are seeking a talented and motivated Data Engineer to join our dynamic Data Engineering & Analytics team. As a key member of our engineering team, you will play a crucial role in: - Constructing and optimizing data pipelines - Implementing efficient storage solutions - Orchestrating the infrastructure necessary to support our customer’s data-driven initiatives Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams. Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above. Qualifications - Solid understanding and experience with SQL and relational database concepts - Solid understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka) - Experience with data analysis tools (e.g., Jupyter, Colab, Pandas) - Experience with data visualization tools (e.g., Tableau, Looker, PowerBI, Qlik, and SuperSet) - Previous experience developing data strategies and facilitating data migrations into production systems - Experience with cloud platforms (e.g., AWS, Azure, GCP) - Proficiency in programming languages such as Python, Java, or C++ - Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code - Familiarity with version control systems (e.g., Git) and collaborative development workflows - Excellent problem-solving and critical-thinking skills - Effective communication skills and ability to work in a collaborative team environment Requirements - Experience with other database technologies (e.g., NoSQL, Graph) - Any of the below cloud certifications: - Google Cloud Professional Cloud Architect - Google Cloud Professional Database Engineer certification - Google Cloud Professional Data Engineer - Experience with additional data processing tools and technologies (e.g., Spark, Hadoop) - Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) Benefits - Salary Range: $102,850 - $170,000

Role Description The Data Engineering & AI/ML capability serves as the backbone of our organization's data-driven operations. We are seeking a talented and motivated Senior Data Engineer to join our dynamic Data Engineering team. As a key member of our engineering team, you will play a crucial role in: - Constructing and optimizing data pipelines - Implementing efficient storage solutions - Orchestrating the infrastructure necessary to support our customer’s data-driven initiatives - Leading engineering engagements by collaborating with cross-functional teams including customers, partners, and internal engineers Location: Primarily Remote. Candidates must be based in CA or DC Metro Area for proximity to project and client teams. Security Clearance Requirement: Applicants must be US citizens and eligible to obtain and maintain an active Secret security clearance or above. Key Responsibilities - Data Collection and Processing - Acquire, clean, and preprocess diverse datasets from various sources, establishing best practices and ensuring data quality standards. - Design and build required infrastructure for optimal extraction, transformation and loading of data from various data sources using CSP managed services and SQL technologies, focusing on scalability and cost efficiency. - Develop, maintain, and optimize mission-critical data pipelines to ensure a continuous flow of high-quality data, implementing robust monitoring and alerting. - Data Migrations & Optimization - Architect and develop data migration strategies and schemas to lead complex customer migrations from on-prem to cloud technologies. - Oversee and execute high-volume data migration activities, ensuring data integrity and minimal downtime. - Optimize databases and data warehouses for efficient querying and data storage, implementing advanced partitioning, indexing, and tuning techniques. - Data Analysis and Visualization - Perform exploratory data analysis to uncover patterns, trends, and insights, providing actionable recommendations to technical and business stakeholders. - Create visualizations and reports to communicate findings effectively to stakeholders both internally and externally, driving data-driven decision making. - Collaboration and Documentation - Collaborate with cross-functional teams, including software engineers, domain experts, and business analysts, to understand requirements and deliver integrated solutions, end-to-end data solutions. - Create and maintain comprehensive documentation for data architectures, code, algorithms, and models. Ensure that the knowledge is shared and accessible within the team. - Customer Engagement - Act on client feedback constructively to improve services and outcome, serving as a key technical contact for data-related discussions. - Continuously seek ways to enhance the overall customer experience, proactively identifying and addressing complex data challenges. - Continuous Learning and Innovation - Stay updated on the latest developments in cloud data services, machine learning, data science, and analytics. - Drive innovation by evaluating, proposing, and implementing cutting-edge techniques and technologies to address client challenges. Qualifications - Expert-level understanding and experience with SQL and relational database concepts - Deep understanding of database technologies, data warehouses, and ETL tools (e.g., MySQL, PostgreSQL, Beam, Airflow, and Kafka) - Proven track record of designing and implementing scalable data pipelines - Advanced experience with data analysis tools (e.g., Jupyter, Colab, Pandas) - Extensive experience with data visualization tools (e.g., Tableau, Looker, PowerBI, Qlik, and SuperSet) - Demonstrated experience developing comprehensive data strategies and facilitating data migrations into production systems - Expertise with cloud platforms (e.g., AWS, Azure, GCP) - Proficiency in programming languages such as Python, Java, or C++ - Strong software engineering skills with an emphasis on writing clean, modular, and maintainable code - Experience with version control systems (e.g., Git) and collaborative development workflows - Exceptional problem-solving and critical-thinking skills - Effective communication skills and ability to work in a collaborative team environment Preferred Qualifications - Bachelor's or advanced degree in Computer Science, Data Science, Machine Learning, or a related field - Experience with other database technologies (e.g., NoSQL, Graph) - Any of the below cloud certifications: - Google Cloud Professional Cloud Architect - Google Cloud Professional Database Engineer certification - Google Cloud Professional Data Engineer - Experience with additional data processing tools and technologies (e.g., Spark, Hadoop) - Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) Salary Range $142,550 - $192,900