Senior Power BI Data Engineer
Job Summary
The Senior Power BI/Data Engineer is responsible for designing, developing, and maintaining enterprise reporting, analytics, workflow automation, and AI-enabled solutions leveraging Microsoft Power BI, Power Automate, Microsoft Copilot technologies, DBT, Snowflake, AWS S3 Stores.
This role serves as a key contributor in the organization's data journey by building scalable reporting solutions, implementing automated business processes, developing ELT transformations, and identifying opportunities to leverage Artificial Intelligence to improve business efficiency and decision-making.
The successful candidate will collaborate with business stakeholders, data engineers, analysts, and technology teams to transform data into actionable insights while driving innovation through automation and AI.
Duties and Responsibilities
Power BI Reporting Development
- Design, develop, and maintain Power BI Paginated Reports utilizing Power BI Report Builder.
- Create highly formatted operational, regulatory, financial, and executive reports.
- Develop parameter-driven reports and interactive reporting solutions.
- Create reusable report templates and standards.
- Optimize report performance and query execution.
- Troubleshoot and resolve reporting issues in production environments.
Power BI Platform
- Publish, manage, and maintain reporting assets within the Power BI Service.
- Configure scheduled refreshes, subscriptions, and report distribution.
- Implement row-level security and governance standards.
- Support workspace administration and deployment processes.
- Monitor and optimize Power BI environment performance.
Power Automate Development
- Implement automated report delivery, approvals, notifications, and workflow solutions.
- Integrate Power Automate with Microsoft 365, SharePoint, Teams, Outlook, and Power BI.
- Evaluate and implement AI-powered business solutions utilizing tools like Claude/Copilot.
- Partner with others to identify opportunities for AI-driven process improvements and operational efficiencies.
- Develop AI-assisted reporting, documentation generation, summarization, and workflow capabilities.
- Build automated business processes using Power Automate integrated with AI services.
Data Engineering
- Design, build, and maintain ELT pipelines using dbt.
- Develop and support scalable transformation models within Snowflake.
- Create reusable data models, testing frameworks, and documentation within dbt.
- Implement data quality controls, reconciliation processes, and automated validations.
Data Analysis and Development
- Write complex SQL queries, stored procedures, and datasets.
- Work with Snowflake, SQL Server, DB2, or other enterprise data sources.
- Validate data quality and reconcile results with source systems.
- Participate in testing, deployment, and production support activities.
- Provide production support and issue resolution.
Qualifications and Education:
- Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field; or equivalent combination of education and experience.
- 3-7+ years of experience in business intelligence, reporting, analytics, or application development.
- Experience developing Power BI Paginated Reports.
- Experience with Microsoft Power BI Service and semantic models.
- Experience developing Power Automate workflows.
- Experience writing advanced SQL queries.
- Experience supporting enterprise reporting environments.
Preferred Qualifications
- Insurance industry experience, particularly Property & Casualty Insurance.
- Experience developing regulatory/financial reports.
- Experience with SharePoint Online and Microsoft Teams integrations.
Required Knowledge and Skills
- Power BI Report Builder (Paginated Reports)
- Power BI Service Administration
- Power BI Dataset/Semantic Model development
- Power Automate Cloud Flows
- SQL development and query optimization
- Snowflake, SQL Server, DB2, or similar relational databases
- Data analysis and troubleshooting skills
- Requirements gathering and documentation
- SDLC and Agile methodologies
- Source control systems (Azure DevOps, Git, etc.)
- Strong verbal and written communication skills
- Strong analytical and problem-solving abilities
- Ability to manage multiple priorities and projects simultaneously
- Ability to work independently and collaboratively
Technical Skills
- Power BI Report Builder (Paginated Reports)
- Power BI Service
- Power Automate
- SQL Knowledge
- Snowflake Data Platform
- DBT
- Data Modeling
- DAX
- Power Query (M)
- Microsoft Fabric/Azure Data Services
- Git / Azure DevOps
- AI & Generative AI Technologies
- REST APIs and Data Integration
- Data Lake (AWS-S3)
Salary Range: $100,000-$120,000 per year + bonus. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.
About the Company:
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 2,000 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent".
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