• Function as a technical leader and advisor within the data technology field at TCGplayer, nurturing the growth and progress of both the company and individual engineers • Provide technical expertise and insight as you work with other teams to develop data flow strategies and define storage needs for microservices, ensuring scalability, reliability, and alignment with system architecture • Manage cross-application projects for datastores, emphasizing security, software currency, data governance, and platform migrations • Research emerging capabilities in both the datastores used by the organization and the broader marketplace to inform long-term strategic planning in the data domain • Consult on database design for the structures within an application’s datastores and queries/aggregations against those structures, optimizing for performance and scalability • Write minimal yet effective code, primarily database queries to facilitate data management and manipulation and proof-of-concepts for suggested techniques • Guide selection of appropriate datastore technologies for new and re-platformed apps, focusing on transactional microservices and event-driven systems to meet current and future data needs

At Voluware, we are dedicated to transforming the healthcare landscape through innovative software solutions. Our cloud-based application, VALER®, automates health care revenue operations and enhances connectivity between health care insurers and providers. We are seeking a Sr. Data Integration Engineer to join our team and help streamline data flow and integration within our platform. This role offers a unique opportunity to be part of a company passionate about making a positive impact in healthcare, collaborating with unconventional engineers, and directly contributing to user satisfaction and success.

• Be a hands-on technical visionary leader for the data engineering team responsible for solutioning, designing, implementing, reviewing, and deploying core functionality to support our data warehouse, data pipelines, data sharing, data integration and BI tools strategy. • Manage, scale, and mentor the data engineering team along with leading the recruitment efforts to attract and retain top data engineering talent. • Collaborate with stakeholders to prioritize top business initiatives and develop corresponding solutions and a strategic roadmap. • Identify and evaluate emerging data engineering technologies and trends, and determine their potential application within the organization. • Manage resource allocation and bi-weekly sprint planning. • Advocate for and drive the adoption of best practices in data engineering development, deployment, and data governance. • Work closely with the data science, analytics, and operations teams to develop user-friendly data solutions that comply with established data governance guidelines.

• Support project teams in the design, development, and delivery of RWD solutions across multiple databases. • Manage the inflow of diverse healthcare data sources and ensure data quality. • Develop technical specifications and transform data into a common data model. • Publish validated datasets for enterprise-wide use. • Provide reports, presentations, and technical explanations to epidemiologists, analysts, and programmers. • Communicate with data vendors and ensure accountability for data quality. • Help ensure quality standards and evaluate new methodologies. • Perform SQL querying, transformation, and quality control. • Apply SAS, Python, and programming tools to support analytical workflows. • Work with real-world healthcare datasets (Optum, PharMetrics, Flatiron, registry data). • Support OMOP data model conversions. • Leverage AI tools such as Databricks Genie and MS Copilot. • Work independently or as part of a team.