Senior Data Engineer (Remote)

• 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.

This 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