Data Engineer II
Role details
Job location
Tech stack
Job description
We are seeking a Senior Power BI Developer to design, build, and deliver high-quality analytics and ETL (extract, transform & load) solutions that power decision-making across Pearson Virtual Schools. This role will operate at the intersection of data engineering and business intelligence , transforming complex data into intuitive, scalable reporting experiences.
You will partner closely with data engineers, analysts, and business stakeholders to develop semantic models, dashboards, and reporting experiences that align with defined data products and organizational standards. This is a hands-on individual contributor role with strong ownership expectations across the full lifecycle of analytics delivery-from requirements through deployment and optimization.
What You'll Do
Data Visualization & Reporting
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Design and develop Power BI dashboards and reports that support school operations, student outcomes analysis, and enterprise reporting
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Translate business needs into intuitive, actionable visualizations aligned with PVS reporting standards
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Optimize report performance, usability, and accessibility for diverse end users (school leaders, analysts, executives)
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Implement and maintain data security policies within reporting tools in adherence with PVS data security policies, governance and best practices
Semantic Modeling
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Build and maintain Power BI semantic models (datasets) that serve as governed, reusable data foundations
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Implement data modeling best practices (star schema, DAX optimization, row-level security)
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Partner with engineering to ensure alignment between data pipelines and reporting layer
Data Quality & Reliability
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Validate data outputs and ensure consistency between reports and source systems
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Troubleshoot data discrepancies, refresh failures, and performance issues
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Contribute to monitoring, testing, and documentation of reporting solutions
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Implement and validate Row Level Security in a multi-tenant environment
Collaboration & Delivery
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Work closely with business stakeholders to refine requirements and prioritize features
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Participate in design discussions, backlog refinement, and peer reviews
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Communicate technical tradeoffs, risks, and timelines clearly to both technical and non-technical audiences
Scalability & Data Product Enablement
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Contribute to the development of scalable, reusable reporting assets that align with PVS data product strategy
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Support self-service analytics by enabling well-documented datasets and consistent definitions
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Drive improvements in deployment practices, governance, and lifecycle management
Requirements
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Advanced experience with Power BI (report development, visualizations, DAX, Power Query, semantic modeling, Tabular Editor 3 , DAX Studio , or ALM Toolkit)
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Strong understanding of data modeling concepts (star schema, fact/dimension design)
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Experience with SQL and working with structured datasets in data warehouses/lakehouses
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Familiarity with data pipelines and integration concepts (e.g., Azure Data Factory, ETL/ELT patterns)
Problem Solving & Ownership
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Proven ability to independently deliver end-to-end reporting solutions
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Strong troubleshooting skills across data, performance, and visualization issues
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Experience improving data quality, reliability, and usability
Collaboration & Communication
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Strong communication skills that deliver exceptional value to internal and external customers
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Ability to translate complex technical concepts into clear, actionable insights
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Experience working cross-functionally with engineering, analytics, and business teams
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Strong documentation and knowledge-sharing practices
Qualifications
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5+ years of experience in Power BI development, business intelligence, or analytics engineering
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Demonstrated experience delivering production-grade reporting solutions used for operational or strategic decision-making
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Experience working in data-driven environments with evolving data architecture and governance practices
Preferred Experience
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Experience in education, EdTech, or multi-tenant data environments
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Familiarity with Azure ecosystem (Synapse, Fabric, Data Factory, or similar)
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Exposure to data governance, lineage, and semantic layer standardization
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Experience supporting self-service analytics at scale
Benefits & conditions
- Consistent delivery of reporting projects meeting and exceeding requirements and timeframes
Applications will be accepted through June 1. This window may be extended depending on business needs.
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:
The full-time salary range is between $90,000 - $110,000
This position is eligible to participate in an annual incentive program, and information on benefits offered is here .