Senior Data Engineer

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Design and create Power BI dashboards and reports that support school operations, analyze student outcomes, and facilitate enterprise reporting.

• Convert business requirements into intuitive, actionable visualizations that adhere to PVS reporting standards.

• Enhance report performance, usability, and accessibility.

• Implement and uphold data security policies within reporting tools.

• Develop and manage governed, reusable Power BI semantic models.

• Utilize star schema, DAX optimization, and row-level security techniques.

• Collaborate with engineering to ensure alignment between data pipelines and the reporting layer.

• Verify data outputs and maintain consistency between reports and source systems.

• Resolve data discrepancies, refresh failures, and performance challenges.

• Assist in monitoring, testing, and documenting reporting solutions.

• Implement and confirm row-level security in a multi-tenant environment.

• Work alongside business stakeholders to clarify requirements and prioritize features.

• Engage in design discussions, backlog refinement, and peer review processes.

• Articulate technical tradeoffs, risks, and timelines effectively.

• Create scalable, reusable reporting assets that align with the PVS data product strategy.

• Facilitate self-service analytics through well-documented datasets and consistent definitions.

• Enhance deployment practices, governance, and lifecycle management.

⛳️ Requirements

• A minimum of 4 years of hands-on experience with Power BI, encompassing report development, visualizations, DAX, Power Query, and semantic modeling.

• Familiarity with tools such as Tabular Editor 3, DAX Studio, or ALM Toolkit is advantageous.

• Strong understanding of data modeling principles, including star schema and fact/dimension design.

• Experience with SQL and structured datasets in data warehouses or lakehouses.

• Knowledge of data pipelines and integration concepts, including Azure Data Factory and ETL/ELT methodologies.

• Proven ability to independently deliver reporting solutions from initial requirements through to deployment and ongoing support.

• Capability to troubleshoot data, performance, and visualization challenges.

• Experience in enhancing data quality, reliability, and usability.

• Excellent communication skills.

• Ability to transform complex technical concepts into clear, actionable insights.

• Experience collaborating cross-functionally with engineering, analytics, and business teams.

• Strong practices in documentation and knowledge-sharing.

• 3 to 5 years of experience in Power BI development, business intelligence, data analysis, or a related field.

• Experience in creating or supporting reports and dashboards used for operational or business decision-making.

• Familiarity with evolving tools, architecture, and governance practices.

• Preferred: experience in the education sector, EdTech, or multi-tenant data environments.

• Preferred: experience with Google BigQuery.

• Preferred: exposure to data governance, lineage, and the standardization of semantic layers.

• Preferred: experience in supporting self-service analytics at scale.

🏝️ Benefits

• Eligibility for an annual incentive program.

• Benefits provided by Pearson (specific benefits are referenced but not detailed in the posting).