Starkey is hiring a Sr Data Analytics Engineer. This role will play a critical part in transforming enterprise data into actionable insights by leveraging Microsoft's Fabric platform unified ecosystem. Leads the technical development of our modern data analytics platform through data pipelines that centralize the enterprise data into Fabric OneLake, curation of the raw data into Gold semantic models and administration of the Fabric Data Platform, while collaborating closely with business stakeholders and leadership.
Watch this video to see more of what sets Starkey apart.
https://youtu.be/9cUYwTlCepg?si=wkovx8_R_iINfrc6
JOB RESPONSIBILITES- Design, build, and optimize end-to-end analytics solutions using Microsoft Fabric
- Develop and maintain data pipelines using Fabric Data Factory, Mirroring, and Notebooks.
- Architect and implement Lakehouse, Warehouse, and Semantic Model based medallion architectures in OneLake
- Build and manage semantic models and datasets for enterprise reporting and self-service analytics
- Optimize data models, performance, and cost-efficiency across Fabric workloads
- Collaborate with business stakeholders to translate requirements into scalable data solutions
- Establish data governance, security, and quality standards within the Fabric ecosystem
- Lead and mentor junior engineers and analysts on best practices and platform capabilities
- Integrate Fabric solutions with upstream and downstream systems
- Administration and Support of the Fabric and Power BI Platform
- Support of data ingestions, model refreshes, and data solutions.
- Perform other duties/responsibilities as assigned
JOB REQUIERMENTS Minimum Education, Certification and Experience Requirements
Education -Four-year degree and relevant work experience
Experience -10+ years in software/data engineering, analytics engineering, business intelligence
-5+ years focused on data engineering and data platforms
Knowledge/Technical Requirements - Knowledge of software/data engineering, data platforms, and analytics engineering, business intelligence
Competencies, Skills & Abilities - Strong analytical and problem-solving skills
- Ability to communicate complex data concepts to non-technical stakeholders
- Leadership and mentoring capabilities
- Passion for innovation and continuous learning in the data and analytics space
WORK CONTEXTWorking Conditions - Standard office conditions
Equipment Operation - Standard office equipment
Salary and Other Compensation: The target rate for this position is between $110,000 to $140,000/year. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
Benefits: The following benefits for this position, subject to applicable eligibility requirements, include medical, dental and vision insurance, 401(k) retirement plan with company match, company-paid life and short-term disability insurance, long-term disability insurance, employee assistance plan, hearing aid benefits, Paid Time Off, paid holidays, paid floating holidays, paid volunteer service day, paid paternity and maternity leave and tuition reimbursement
This position is eligible for a bonus based upon performance results. There is no guarantee of payout.
