Paradigm Max Q LLC

Job DescriptionJob Description Position Title: Power BI Data Engineer Reports To: Data Analytics Director Location: Hybrid About Us Paradigm Max Q is redefining defense industry support. Founded in 2023, we combine elite talent with advanced analytics to deliver actionable solutions that improve readiness and reduce costs for the government and warfighter. With rapid growth and operations in 16 U.S. locations, we're driven by performance, innovation, and impact. Our mission: to deliver measurable results that strengthen national defense and empower those who serve. Join us as we shape the future of defense support. Position Summary The Data Engineer - Power BI is responsible for designing, building, and maintaining scalable data pipelines and data models that support business intelligence and analytics initiatives. This role partners closely with business stakeholders, analysts, and Power BI developers to deliver high-quality, trusted datasets and optimized reporting solutions. The ideal candidate combines strong data engineering expertise with deep knowledge of Power BI architecture, ensuring robust, performant, and secure data solutions. Key Responsibilities Data Engineering & Pipeline Development Design, build, and maintain ETL/ELT pipelines to ingest, clean, and transform data from various sources (SQL Server, cloud platforms, APIs, flat files, etc.). Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or similar. Ensure data quality, integrity, and reliability across all pipelines. Enforce data governance standards, including data lineage, cataloging, and documentation. Data Modeling & Power BI Enablement Design and implement optimized data models (star schema, snowflake) tailored for Power BI reporting. Create reusable semantic models and datasets for enterprise reporting. Optimize Power BI datasets for performance, scalability, and usability. Work closely with Power BI developers to align models with reporting requirements. Cloud & Platform Management Develop and maintain data solutions in cloud environments (e.g., Azure Synapse, Azure SQL, Data Lake). Implement best practices for data storage, processing, and orchestration. Support deployment and lifecycle management (CI/CD) for data pipelines and Power BI artifacts. Collaboration & Stakeholder Engagement Collaborate closely with stakeholders to define modeling requirements and deliver value-driven solutions. Communicate technical concepts clearly to non-technical audiences, influencing strategic and tactical decisions. Translate business needs into scalable technical solutions. Qualifications Bachelor's degree in computer science, Information Systems, Data Engineering, or related field. 3+ years of experience in data engineering or BI development Proven experience developing solutions with Microsoft Power BI Strong knowledge of DAX, Power Query, and data modeling in Microsoft Environment Active Secret Clearence Preferred Characteristics SQL skills (query optimization, stored procedures, data modeling) Experience with Microsoft Power Platform (Dataverse, Power Apps, Power Automate, etc.)_ Experience with cloud data platforms (Azure, AWS, or equivalent) Experience supporting executive-level reporting and decision support Microsoft certifications Microsoft Certified: Power BI Data Analyst Associate (PL 300) Microsoft Certified: Azure Data Engineer Associate (DP 203) Microsoft Certified: Fabric Analytics Engineer Associate Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Data Fundamentals (DP 900) Benefits Statement: Paradigm Max Q provides eligible employees with a comprehensive benefits package that includes medical, dental, and vision insurance; life insurance; short term and long term disability coverage; a 401(k) retirement plan; paid time off (PTO) for vacation; and company paid holidays. The benefits package also includes reimbursement for a Planet Fitness Black Card membership. EEO Statement: We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other characteristics protected by applicable law.