> Markdown version of [/jobs/ext/168477-data-engineer-ii](https://www.wearedevelopers.com/jobs/ext/168477-data-engineer-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II - **Company:** Pearson - **Location:** Hamilton Township, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $90,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Power BI, Standard Sql, Azure Data Factory, Powerquery, Data Analytics, Star Schema, Enterprise Integration, Tools for Reporting, Data Pipelines - **Published:** May 27, 2026 - **Apply:** https://www.juju.com/job/00000000g331tl ## About the Role + Advanced experience with **Power BI (report development, visualizations, DAX, Power Query, semantic modeling,** **Tabular Editor 3** , **DAX Studio** , or **ALM Toolkit)** + Strong understanding of **data modeling concepts** (star schema, 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 & Ownership + Proven ability to independently deliver **end-to-end reporting solutions** + Strong troubleshooting skills across **data, performance, and visualization issues** + 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 + 5+ years of experience in **Power BI development, business intelligence, or analytics engineering** + Demonstrated experience delivering **production-grade reporting solutions** used for operational or strategic decision-making + Experience working in **data-driven environments with evolving data architecture and governance practices** Preferred Experience + Experience in **education, EdTech, or multi-tenant data environments** + Familiarity with **Azure ecosystem (Synapse, Fabric, Data Factory, or similar)** + Exposure to **data governance, lineage, and semantic layer standardization** + Experience supporting **self-service analytics at scale** ## 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 + 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 + Optimize 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 + Implement **data modeling best practices** (star schema, DAX optimization, 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 + Drive improvements in deployment practices, governance, and lifecycle management ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)