Senior Data Engineer

Business Intelligence Developer (Power BI)

Job Title: Senior Data Engineer

Pearson Virtual Schools (PVS) – Enabling Technology
Location: Hybrid

About Pearson Virtual Schools

At Pearson Virtual Schools (PVS), we are committed to expanding access to high-quality education through innovative digital learning solutions. PVS is a division within Pearson, a global leader in the education industry. Our PVS Enabling Technology team plays a critical role in this mission by building scalable, trusted data products that empower school leaders, educators, and operational teams to make informed decisions that improve student outcomes.

As we evolve toward a Data Product–driven organization, we are investing in modern analytics capabilities that combine trusted data pipelines, semantic models, and self-service reporting experiences.

Role Overview

We are seeking a Power BI Developer to help build and deliver analytics and ETL (extract, transform & load) solutions that support decision-making across Pearson Virtual Schools. This role will work across data engineering and business intelligence, turning data into clear and useful reporting experiences.

You will work with data engineers, analysts, and business stakeholders to develop semantic models, dashboards, and reports that follow established data products and organizational standards. This is a hands-on individual contributor role with independent ownership of reporting work across the delivery lifecycle—from gathering requirements through deployment and support—while collaborating with experienced team members on broader analytics and data engineering initiatives.

What You’ll Do

Data Visualization & Reporting

• Design and develop Power BI dashboards and reports that support school operations, student outcomes analysis, and enterprise reporting
• Translate business needs into intuitive, actionable visualizations aligned with PVS reporting standards
• Help improve report performance, usability, and accessibility for diverse end users (school leaders, analysts, executives)
• Implement and maintain data security policies within reporting tools in adherence with PVS data security policies, governance and best practices

Semantic Modeling

• Build and maintain Power BI semantic models (datasets) that serve as governed, reusable data foundations
• Apply established data modeling practices such as star schema, DAX optimization, and row-level security
• Partner with engineering to ensure alignment between data pipelines and reporting layer

Data Quality & Reliability

• Validate data outputs and ensure consistency between reports and source systems
• Troubleshoot data discrepancies, refresh failures, and performance issues
• Contribute to monitoring, testing, and documentation of reporting solutions
• Implement and validate Row Level Security in a multi-tenant environment

Collaboration & Delivery

• Work closely with business stakeholders to refine requirements and prioritize features
• Participate in design discussions, backlog refinement, and peer reviews
• Communicate technical tradeoffs, risks, and timelines clearly to both technical and non-technical audiences

Scalability & Data Product Enablement

• Contribute to the development of scalable, reusable reporting assets that align with PVS data product strategy
• Support self-service analytics by enabling well-documented datasets and consistent definitions
• Contribute to improvements in deployment practices, governance, and lifecycle management

What You Bring

Technical Expertise

• 2+ Years of practical experience with Power BI, including report development, visualizations, DAX, Power Query, and semantic modeling; exposure to tools such as Tabular Editor 3, DAX Studio, or ALM Toolkit is helpful
• Strong knowledge of data modeling concepts, including star schema and fact/dimension design
• Experience with SQL and working with structured datasets in data warehouses/lakehouses
• Familiarity with data pipelines and integration concepts (e.g., Azure Data Factory, ETL/ELT patterns)

Problem Solving & Growth

• Experience independently delivering reporting solutions from requirements through deployment and support
• Ability to troubleshoot common data, performance, and visualization issues, with support when needed
• Experience improving data quality, reliability, and usability

Collaboration & Communication

• Strong communication skills that deliver exceptional value to internal and external customers
• Ability to translate complex technical concepts into clear, actionable insights
• Experience working cross-functionally with engineering, analytics, and business teams
• Strong documentation and knowledge-sharing practices

Qualifications

• 1–3 years of experience in Power BI development, business intelligence, data analysis, or a related area
• Experience building or supporting reports and dashboards used for operational or business decision-making
• Experience working with data in an environment where tools, architecture, and governance practices continue to evolve

Preferred Experience

• Experience in education, EdTech, or multi-tenant data environments
• Experience with Google BigQuery
• Exposure to data governance, lineage, and semantic layer standardization
• Experience supporting self-service analytics at scale

Why Join Us

• Contribute to meaningful analytics work that supports students, educators, and school systems nationwide
• Be part of a growing Data Product organization shaping the future of analytics at PVS
• Work in a collaborative environment that values innovation, ownership, and continuous improvement
• Become part of the Pearson Virtual Schools mission where we are helping people achieve success through lifelong learning

Success in This Role Looks Like

• Trusted, high-performing Power BI reports used consistently by stakeholders
• Scalable semantic models enabling self-service analytics
• Reduced data discrepancies and improved reporting reliability
• Strong partnership across engineering, analytics, and business teams
• Consistent delivery of reporting projects meeting and exceeding requirements and timeframes