MIS Database Manager

Great Hill Solutions, LLC is part of the Seneca Nation Group (SNG) portfolio of companies. SNG is Seneca Holdings' federal government contracting business that meets mission-critical needs of federal civilian, defense, and intelligence community customers. Our portfolio comprises multiple subsidiaries that participate in the Small Business Administration 8(a) program. To learn more about SNG, visit the website and follow us on LinkedIn.

Our team of talented individuals is what makes us successful. To support our team, we provide a balanced mix of benefits and programs. Your total rewards package includes competitive pay, benefits, and perks, flexible work-life balance, professional development opportunities, and performance and recognition programs. We offer a comprehensive benefits package that includes medical, dental, vision, life, and disability, voluntary benefit programs (critical illness, hospital, and accident), health savings and flexible spending accounts, and retirement 401K plan. One of our fundamental principles is to offer competitive health and welfare benefits to our team members, providing coverage and care for you and your family. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in our benefits and paid leave programs. We pride ourselves on our collaborative work environment and culture, which embraces our mission of providing financial and non-financial benefits back to the members of the Seneca Nation.

Great Hill Solutions, LLC is seeking a skilled MIS Database Manager to support the Centers for Disease Control and Prevention (CDC) in managing data systems and analytics for the multisystem inflammatory syndrome (MIS) national surveillance system and other respiratory virus surveillance platforms. This position plays a critical role in ensuring data quality, integration, and reporting across various cloud technologies and public health data systems.

Roles and Responsibilities:

• Serve as a Database Manager for the MIS national surveillance system.
• Validate and clean clinical data and formulate descriptive tables using epidemiological principles.
• Maintain communication with NCIRD leadership, internal partners, and federal/state health departments.
• Develop documentation such as SOPs and analysis plans to ensure project continuity.
• Merge, build, and manage data pipelines using cloud technologies including Palantir Foundry, PySpark, Microsoft Azure, SAS, and others.
• Oversee clinical data reporting streams including data collection, integration, augmentation, and quality control.
• Perform data analysis and provide statistics for CDC data products using tools like Power BI, Tableau, and R Studio.
• Write PySpark code to automate data pipelines and generate analytic datasets.
• Present scientific findings at conferences and participate in team-building and planning retreats.
• Assist with data management for other surveillance platforms including data validation, quality reporting, and correspondence with site PIs.

Basic Qualifications:

• BA/BS with 3–10+ years’ experience, MS with 0–7+ years’ experience, or PhD with 0–3+ years’ experience.

Desired Qualifications:

• Work experience in managing databases, processing, and integrating datasets (preferably in a public health setting).
• Work experience in cloud technologies including but not limited to Palantir Foundry (i.e., DCIPHER/HHS Protect), PySpark, Microsoft Azure based products (i.e., Databricks, Data Factory, SQL Server), Desktop SAS, SAS Viya, Posit Cloud, Microsoft Power Platform, Amazon Web Service Technologies, performing checks for data quality and duplication, and preparing updates for the website and other reports.
• Experience in data architecture, system analysis, SQL, relational databases, distributed data.
• Expertise in programming languages in SAS/R/Python/PySpark.
• Ability to work in REDCap, Palantir Foundry (DCIPHER), NNDSS/NNAD data, Databricks and Excel.
• Expertise in data visualization software such as PowerBI or Tableau.
• Experience in descriptive analysis and writing reports on data quality.
• Knowledge of and experience working with clinical data.
• Expertise in the use of Microsoft Office (i.e., Word, PowerPoint and Outlook Mail).
• Ability to identify gaps in existing resources.
• Ability to be flexible.
• Interpersonal communication: telephone, email, and business etiquette.
• Strong proofreading skill and attention to detail.
• Strong organizational skills.
• Experience working with CDC staff at multiple organizational levels.