The Data Services team at Patterson Dental specializes in crafting sophisticated data strategies, architecting robust data models, and enabling innovative self-service and data-driven capabilities. Our focus extends to upholding the highest standards of data quality and governance. We play a pivotal role in designing, developing, testing, and deploying large-scale data warehouse solutions and other data services that power Patterson’s leading SaaS products in the dental services market. The Senior Data Engineer occupies a key technical leadership role within the Data Services team, possessing extensive knowledge and capabilities in data engineering across a variety of platforms, frameworks, and languages. The Senior Data Engineer is instrumental in defining, developing, testing, analyzing, and maintaining code for data and data applications, as well as leading research, design, documentation, and modification of data specifications throughout the product development lifecycle. Essential Functions To perform this job successfully, an employee must be able to perform each essential function satisfactorily, with or without reasonable accommodation. To request a reasonable accommodation, notify Human Resources or the manager who oversees the position. Drives research, design, and development of a secure, resilient, and self-healing data architecture foundation, including data warehouse/mart, data integration pipelines, and data-specific software components. Works alongside the Principal Data Engineer to define and implement best practices, standards, and processes for development, analysis, testing, and tuning of big data solutions. Leads the creation, maintenance, and optimization of ELT data pipelines from development to production. Develops and enforces data integration and data quality standards across all development initiatives, adhering to the organization’s information services policies and best practices. Executes and oversees the analysis and remediation of root causes, including technological, procedural, or resource capability deficiencies. Operates in an agile model alongside architects, data engineers, data scientists, data analysts, business partners, and other developers in the delivery of data solutions. Provides technical guidance and mentorship to less experienced Data Engineers, fostering a culture of education and skill development. Introduces and helps Patterson understand new technologies to solve business problems, creating relevant prototypes where appropriate. Ensures the ethical use, safety, and privacy of Patterson and customer/patient data. Required Qualifications Bachelor’s degree or higher in a technical field or equivalent work experience. 5+ years of relevant experience in data engineering, ideally with healthcare-related SaaS applications. Demonstrated experience with a variety of relational and NoSQL technologies (e.g., Azure SQL Server, PostgreSQL, Cosmos DB). Experience in a cloud platform (preferably Azure) and its related technical stack (e.g., Azure Data Factory, Synapse). Strong technical understanding of data modeling, data mining, master data management, data integration, data architecture, data virtualization, data warehousing, and data quality techniques. Strong knowledge in SQL, modern programming languages (e.g., Python, R), and common data pipeline/data science libraries. Experience with Git repositories, CI/CD (preferably Azure DevOps), and software development tools, including incident tracking, version control, release management, and testing tools. Experience working with data governance and data security – specifically in moving data pipelines into production with appropriate data quality, governance, and security standards, and certification. Adept in agile methodologies and capable of applying DevOps principles and Data Operations practices to data pipelines. Familiarity with healthcare and security regulatory standards (e.g., HIPAA, CCPA). Strong soft skills, including effective communication and stakeholder management. Working Environment Office environment – either in Patterson facility or at home/remote location Patterson Dental is committed to supporting a robust remote work culture, with well-established virtual collaboration practices and equal opportunities for career advancement and professional growth, regardless of physical location. Travel to corporate sites is periodically required (Quarterly or so) Periodic on call rotations and available outside of normal business hours on evenings and weekends during critical production release or issue escalation periods Th is role is eligible for hire in any of the following States: AK, AZ, CA, CO, CT, DC, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NM, NY, OR, RI, SD, TX, UT, VT, WA, WV, WI The potential compensation range for this role is below. The final offer amount could exceed this range, based on various factors such as candidate location (geographical labor market), experience, and skills. $120,000 – $140,000
azure-cosmosdb Agile Researcher data-security HIPAA SaaS data-modeling Mentoring data governance data-pipelines version-control Testing Tools Design Systems synapse stakeholder-management data-quality Python standards Data Science R Privacy management DevOps ccpa Azure DevOps data-virtualization PostgreSQL azure-sql-server Data Engineering Azure technical education remote work Communication production data-mining master-data-management Software Developer Azure Data Factory state-of-the-art technologies Data Analyst CI/CD data-warehouse data-driven cloud-platforms testing Data Architect Bachelor’s Degree SQL state Healthcare industry Leadership release-management prototyping