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# USA_Developer

- **Company:** Varite Inc
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $133,931 - $141,814
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Crystal Reports (Reporting Software), Data as a Services, Data Validation, Information Engineering, Data Integration, Data Warehousing, IBM DB2, Dimensional Modeling, Microsoft Software, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Systems Development Life Cycle, Power BI, SAP NetWeaver Business Warehouse, SAP HANA, SQL Databases, Web Intelligence, Delivery Pipeline, Pixel Perfect, Sap Business Objects, Powerquery, Microsoft Fabric, Star Schema, Semantic Modeling, Amazon Redshift, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/usa-developer-washington-dc--db2d785a-7968-461f-8dff-e925ca58c47e

## About the Role

SAP BusinessObjects, Power BI, Scalable System Development, Microsoft Product Family, Crystal Reports, Reporting Dashboards, Performance Metrics, Dimensional Modeling, Data Modeling, Best Practices, We are seeking a Senior Power BI Developer to lead the migration of enterprise reporting solutions from SAP BusinessObjects (Web Intelligence, Universes, and Crystal Reports) to Microsoft Power BI. This role will focus on modernizing reporting platforms, developing scalable semantic models, and delivering interactive and paginated reporting solutions.

Please note this is not a Pure Power BI role and Data integration/ Data engineering exp need to be complimented
Primary Skills - Power BI and Data engineering
Secondary skills (Nice to have)- Datamodeling on Databricks, SAP Business objects, 8+ years of Business Intelligence, analytics, and reporting experience.
5+ years of hands-on experience developing solutions in Microsoft Power BI.
Hands-on experience developing Power BI Paginated Reports using Report Builder.
Strong experience with DAX, Power Query (M), SQL, semantic modeling, and data warehousing concepts.
Experience working with Databricks, Amazon Redshift, DB2, Oracle, SQL Server, and large-scale enterprise datasets.
Experience designing star schemas, fact and dimension models, and optimizing reporting performance.
Strong understanding of Power BI Service, Dataflows, Deployment Pipelines, and Row-Level Security (RLS).
Experience working in Agile environments and collaborating with cross-functional teams.

Skills: Power BI Desktop, Power BI Service, Power BI Report Builder, Paginated Reports, DAX, Power Query, SQL, SAP BusinessObjects, Web Intelligence, Crystal Reports, Databricks, Amazon Redshift, DB2, Oracle, SQL Server, Semantic Modeling, Data Warehousing, RLS, Dataflows, Microsoft Fabric.

Competencies: 8+ years experience required
Power BI + Data Engineering
Data Concepts & Data Modelling

Skills:
Category Name Required Importance Experience
SkillCategoryTest1_MN Digital : Microsoft Power BI Yes 1 >7 years
SkillCategoryTest1_MN Databricks No 1 4-7 years
SkillCategoryTest1_MN Digital : SAP BusinessObjects Data Services No 1 4-7 years

## Description

Lead end-to-end migration of SAP BusinessObjects reports, universes, and scheduled reporting solutions to Power BI.
Design, develop, and maintain Power BI dashboards, reports, semantic models, and dataflows.
Convert operational and pixel-perfect reports into Power BI Paginated Reports using Report Builder.
Develop advanced DAX measures, KPIs, Power Query (M) transformations, and reusable reporting assets.
Design and optimize enterprise data models using dimensional modeling and star schema best practices.
Integrate and analyze data from multiple enterprise data sources, including Databricks, Amazon Redshift, DB2, Oracle, SQL Server, SAP BW/HANA, and other cloud and on-premises platforms. Prior exp in data engineering is essential
Collaborate with business stakeholders, data engineers, and architects to gather requirements, validate solutions, and support UAT.
Perform data validation, report reconciliation, testing, and deployment activities to ensure successful migration outcomes.
Implement Power BI security, governance, Row-Level Security (RLS), and performance optimization best practices.
Create and maintain technical documentation, migration inventories, and support procedures.