Data Engineer

Delta Dental of WI • Stevens Point, WI

7d • Hybrid

About The Position

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data infrastructure and pipelines that enable Delta Dental of Wisconsin to collect, process, and access high quality data at scale. This full-time hybrid position is located at our corporate headquarters in Stevens Point. This position will develop robust ETL (Extract, Transform, Load) processes, architect data solutions, and optimize data systems for performance and reliability. As a technical lead on the team, the Data Engineer will drive the execution of our Data Strategy, support organizational OKRs and Core Metrics, and help DDWI become a more data-driven organization by ensuring data accessibility, integrity, and governance.

Requirements

• Design, develop, and maintain scalable data pipelines and ETL processes to ingest data from multiple sources
• Build and optimize data warehouse and data lake architectures to support analytics and reporting needs
• Create and maintain data models that accurately represent business logic and support efficient querying
• Write clean, efficient, and well-documented code following engineering best practices and standards
• Implement data quality checks, validation rules, and monitoring to ensure data accuracy and reliability
• Develop and maintain data documentation, data dictionaries, and metadata repositories
• Collaborate with data analysts, business intelligence teams, and stakeholders to understand data requirements and translate them into technical solutions
• Establish and enforce data governance policies, security protocols, and compliance standards (HIPAA, GDPR, etc.)
• Troubleshoot and resolve data pipeline failures, performance issues, and data quality problems
• Optimize database performance through indexing, query optimization, and architectural improvements
• Lead the evaluation and implementation of new data technologies, tools, and platforms
• Develop automated monitoring and alerting systems for data pipelines and infrastructure
• Create technical documentation and provide guidance on data engineering best practices
• Mentor junior team members and provide technical leadership on data engineering initiatives
• Support strategic data initiatives, including the development of new data products and infrastructure improvements
• Participate in code reviews and contribute to continuous improvement of data engineering practices

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to ingest data from multiple sources
• Build and optimize data warehouse and data lake architectures to support analytics and reporting needs
• Create and maintain data models that accurately represent business logic and support efficient querying
• Write clean, efficient, and well-documented code following engineering best practices and standards
• Implement data quality checks, validation rules, and monitoring to ensure data accuracy and reliability
• Develop and maintain data documentation, data dictionaries, and metadata repositories
• Collaborate with data analysts, business intelligence teams, and stakeholders to understand data requirements and translate them into technical solutions
• Establish and enforce data governance policies, security protocols, and compliance standards (HIPAA, GDPR, etc.)
• Troubleshoot and resolve data pipeline failures, performance issues, and data quality problems
• Optimize database performance through indexing, query optimization, and architectural improvements
• Lead the evaluation and implementation of new data technologies, tools, and platforms
• Develop automated monitoring and alerting systems for data pipelines and infrastructure
• Create technical documentation and provide guidance on data engineering best practices
• Mentor junior team members and provide technical leadership on data engineering initiatives
• Support strategic data initiatives, including the development of new data products and infrastructure improvements
• Participate in code reviews and contribute to continuous improvement of data engineering practices

Benefits

• Health, vision, dental, and life insurance
• Short- and long-term disability coverage
• HSA, FSA, and Dependent Care Accounts
• Competitive salary and incentive compensation based on company results
• 401(k) with employer match and a 6.5% employer contribution to retirement accounts
• Robust wellness programs, whether you work on-site or remotely
• Generous PTO package that grows with your tenure
• Company holidays
• Time off for volunteering

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed