Sr BI Engineer

Location: Work at Home

Time Type: Full time

Job Description

Your Future Evolves Here

Responsibilities

• Design and develop user-facing data visualization and presentation tools, including but not limited to Microsoft SQL Server Reporting Services (SSRS) reports, Power BI dashboards, and Excel PivotTables.
• Work on the development of data retrieval and data management for Evolent Health.
• Support in ensuring that the BI data assets of the organization are aligned with the organization in achieving its strategic goals.
• Help implement effective business analytics practices to enhance decision-making, efficiency, and performance.
• Assist with technology improvements to ensure continuous enhancements of the core BI platform.
• Data Analysis: Ability to perform complex data analysis using advanced SQL skills and Excel to support internal /external clients’ data requests and queries for ad-hoc requests for business continuity and analytics.
• Communicate with non-technical business users to gather specific requirements for reports and BI solutions.
• Provide maintenance support for existing BI applications and reports
• Present work when requested and participate in knowledge-sharing sessions with team members.

• Apply AI-assisted engineering techniques across the full delivery lifecycle, including requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring.
• Iterate with AI on solution design and architecture, evaluating alternatives, revising existing architecture, and producing design artifacts for review.
• Set the standard for validating AI-generated outputs for correctness, security, maintainability, compliance, and business appropriateness, including when reviewing the AI-assisted work of other engineers.
• Design and support data platforms and governed datasets that enable machine learning, analytics, and generative AI workloads.
• Contribute reusable prompts, skills, agents, engineering playbooks, and AI-assisted development patterns that benefit the broader engineering organization.
• Ensure AI usage complies with enterprise policies for intellectual property protection, security, privacy, PHI handling, and Responsible AI standards.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience in BI/ Data Warehouse domain, developing BI solutions and data analysis tasks.
• Strong proficiency in Power BI: building reports, dashboards, DAX, and Power Query.
• Experience with Microsoft Fabric, including Lakehouses, Dataflows Gen2, and Direct Lake capabilities, and Power Automate
• Experience with Azure Data Services: Azure Data Factory, Azure Synapse, Azure Data Lake, or similar.
• Hands-on experience with SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS).
• Knowledge of Advanced SQL for data manipulation and performance tuning.
• Experience implementing ETL/ELT pipelines.
• Ability to work with both relational and cloud-based data sources.

• Demonstrated experience using AI-assisted development platforms such as GitHub Copilot, Cursor, Claude Code, or similar tools to deliver production work.
• Strong prompt engineering skills, with experience in AI-assisted testing and AI-enabled delivery practices.
• Experience with machine learning data pipelines, vector search technologies, document processing pipelines, or AI data preparation techniques.
• Working knowledge of data governance, lineage, quality, and observability practices supporting AI-enabled solutions.

Preferred Requirements

• Healthcare industry experience with exposure to authorizations/claims/eligibility and patient clinical data
• Experience with Python, Spark, or Databricks for data engineering or transformation.
• Familiarity with DevOps/Git for BI, including deployment automation and CI/CD.
• Understanding of data governance, security models, and compliance.
• Experience with semantic modelling in Power BI and/or tabular models using Analysis Services.
• Exposure to AI and machine learning integrations within Microsoft Fabric or Azure.

#EvolentAi

To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.

Technical Requirements:

We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router.

Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruitingteam@evolent.com for further assistance.

The expected base salary/wage range for this position is $. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.