Data Engineer Senior

• At every level, our dedicated team members display a strong work ethic and commitment to our core values, respect for the family, the profession, and the individual.
• Work with leading experts in the funeral and cemetery profession.
• Financial assistant programs encouraging employees through education and development in industry related subjects.
• Robust Health and Welfare Plans, and savings account options, designed to support your personal needs, enhance well-being and help navigate life’s challenges.
• Rich 401k and Roth Retirement Plan options available for both Full Time and Part Time employees along with a Company Match.
• Variety of Vacation, Personal Days and Sick Days based on your role emphasizing the importance of physical and emotional replenishment for our team.
• Employee Discounts on services, merchandise, and property to help our team members in their time of need.

• We value honesty, courage, integrity, ethical behavior and the development of personal growth.
• We are rooted in the communities to provide a personal touch to every family we serve.
• We believe in the value of funeral and cemetery service, drawing on decades of experience to create the best experience for our families.

Full-Time, on-site with some work from home opportunity.

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, a passion for data-driven decision-making, and expertise in Microsoft Azure data services using Databricks.

This role is responsible for the design, development, implementation, and optimization of the organization's enterprise data infrastructure. The Senior Data Engineer serves as a technical leader in building scalable data solutions that support business intelligence, analytics, reporting, artificial intelligence, data governance, and strategic decision-making across a multi-location funeral home, cemetery, cremation, and corporate services organization.

• Designs, develops, and maintains scalable data pipelines and architectures using Azure data services.
• Collaborates with data scientists, analysts, developers and other stakeholders to understand data requirements and translate them into technical solutions.
• Ensures data integrity, quality, and security across all Azure data systems.

• Develops and manages ETL processes to ingest, transform, and load data from various sources into Azure data warehouses and data lakes.
• Optimizes data workflows for performance and reliability using Azure Data Factory, Databricks, and other Azure tools.

• Administers and maintains Azure and on-prem Postgres databases, Azure SQL Database, Mongo DB, Cosmos DB, and other Azure data storage solutions.
• Implements data storage solutions that support efficient querying and analysis.

• Establishes and enforces data governance policies and best practices.
• Ensures compliance with data privacy regulations and industry standards.

• Monitors and optimize Azure data systems for performance, scalability, and cost-efficiency.
• Troubleshoots and resolve data-related issues in a timely manner.

• Works closely with cross-functional teams to support data-driven initiatives.
• Mentors and guides junior data engineers, fostering a culture of continuous learning and improvement.

• Stays up to date with the latest trends and technologies in data engineering.
• Proposes and implements innovative solutions to enhance data infrastructure and processes.
• Performs other duties as assigned.
• Data Engineering and Architecture.
• Ethical Conduct.
• Personal Effectiveness/Credibility.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Mathematics, or a related field required.
• Minimum of 7 years of experience in data engineering, data architecture, business intelligence, or related technical roles.

• Master's degree in Computer Science, Information Systems, Analytics, or related field.
• Experience supporting multi-location organizations.
• Experience in funeral and cemetery industry, healthcare, consumer services, retail, financial services, or other distributed operational businesses.