Power BI Engineer
Listed on 2026-09-03
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IT/Tech
Data Engineering, Business Intelligence
Power Bi & Business Intelligence
Design, develop, and maintain enterprise-grade Power BI dashboards, reports, and semantic models.
Build intuitive interactive visualizations that translate complex datasets into actionable business insights.
Develop advanced DAX calculations and business logic; use Power Query / M for transformation, cleansing, and preparation.
Configure and optimize semantic models, RLS, Import/Direct Query/composite models, incremental refresh, and data gateways.
Establish reusable reporting standards, templates, KPI definitions, and visualization best practices.
Support deployment and lifecycle management across development, testing, and production; troubleshoot report, refresh, gateway, semantic-model, and performance issues.
Data Engineering
Design, build, and maintain scalable ETL/ELT pipelines supporting analytics and reporting.
Integrate data from databases, APIs, files, cloud platforms, and enterprise applications.
Develop optimized SQL queries, stored procedures, views, and transformation logic.
Build and maintain data warehouse, data lake, and/or lakehouse solutions.
Implement data cleansing, transformation, validation, reconciliation, and quality-control processes.
Develop reusable pipelines/frameworks using Python, PySpark, SQL, and cloud-native services.
Implement monitoring, error handling, logging, alerting, and operational support for pipelines.
Optimize large datasets and processing workloads for performance, reliability, and cost efficiency.
Support metadata, lineage, governance, data-quality, CI/CD, and version-control practices.
Collaboration & Delivery
Partner with business stakeholders, analysts, data engineers, and technology teams to transform complex data into reliable, governed, actionable insights.
Balance business requirements with scalable technical design and document architectures, data models, business rules, and operational processes.
Work effectively in Agile and cross-functional environments and communicate technical concepts to technical and non-technical stakeholders.
Deliver end-to-end analytics products from source ingestion and transformation through semantic modeling and executive-ready Power BI reporting.
Experience Range In Required Skills
5-8 Years
Keywords
Strong stakeholder management and requirements gathering; cross-functional collaboration; analytical problem solving; clear technical/non-technical communication;
Agile delivery; attention to data accuracy, security, governance, scalability, and maintainability.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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