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Evolent
Evolent
1,001 – 5,000 Employees
H1B Visa SponsorHealthcareHealthcare InsuranceSaaS
Evolent is a healthcare company that helps health plans and care providers coordinate treatment and manage costs across specialties, including oncology, cardiology, musculoskeletal care, and primary care. Its management solutions support care pathways designed to improve outcomes and connect clinical guidance with patients’ needs. The company works across healthcare and software-enabled services, with teams focused on building and delivering these solutions.
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Senior BI Engineer, Remote in the United States

Build Power BI, Azure, and AI-enabled data solutions at Evolent. Support its healthcare mission through governed analytics, data platforms, and business intelligence.

USUnited StatesRemoteFull-timeSeniorEnglish RequiredBusiness Intelligence Developer
AzureCloudETLPythonSparkSQLSSIS

Description

  • Create reporting and visualization tools, including SSRS reports, Power BI dashboards, and Excel PivotTables.
  • Build data retrieval and management capabilities for Evolent Health.
  • Align business intelligence assets with organizational priorities.
  • Use business analytics to strengthen decision-making, efficiency, and performance.
  • Improve and maintain the core business intelligence platform.
  • Analyze complex data with advanced SQL and Excel for client needs, ad hoc requests, business continuity, and analytics.
  • Gather reporting and BI solution requirements from nontechnical business users.
  • Maintain existing business intelligence applications and reports.
  • Present work and take part in knowledge-sharing sessions.
  • Use AI-assisted engineering throughout requirements analysis, pipeline and code development, testing, debugging, documentation, and operational monitoring.
  • Refine solution designs and architecture with AI, and prepare design materials for review.
  • Check AI-generated work for accuracy, security, maintainability, compliance, and suitability for the business.
  • Build and support data platforms and governed datasets for machine learning, analytics, and generative AI.
  • Create reusable prompts, skills, agents, engineering playbooks, and AI-assisted development practices.
  • Follow intellectual property, security, privacy, PHI handling, and Responsible AI policies when using AI.

Requirements

  • Bachelor’s degree in computer science, software engineering, or a related field, or equivalent practical experience.
  • At least five years of experience in business intelligence or data warehousing, developing BI solutions and performing data analysis.
  • Strong Power BI skills, including reports, dashboards, DAX, and Power Query.
  • Experience with Microsoft Fabric, including Lakehouses, Dataflows Gen2, Direct Lake, and Power Automate.
  • Experience with Azure data services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
  • Hands-on experience with SSRS and SSIS.
  • Advanced SQL skills, including data manipulation and performance tuning.
  • Experience building ETL/ELT pipelines.
  • Ability to work with relational and cloud-based data sources.
  • Production experience with AI-assisted development platforms such as GitHub Copilot, Cursor, or Claude Code.
  • Strong prompt engineering skills.
  • Experience with AI-assisted testing and AI-enabled delivery practices.
  • Experience with machine learning data pipelines, vector search, document processing pipelines, or AI data preparation.
  • Working knowledge of data governance, lineage, quality, and observability for AI-enabled solutions.
  • Home internet connection faster than 10 Mbps.
  • Before employment, candidates must provide government-issued photo ID, complete a comprehensive background check and in-person I-9 verification, and may be subject to drug screening.
  • Preferred: Healthcare experience with authorizations, claims, eligibility, and patient clinical data.
  • Preferred: Python, Spark, or Databricks experience.
  • Preferred: Familiarity with DevOps, Git, deployment automation, and CI/CD.
  • Preferred: Knowledge of data governance, security models, and compliance.
  • Preferred: Power BI semantic modeling and/or Analysis Services tabular models.
  • Preferred: AI and machine learning integrations with Microsoft Fabric or Azure.

Benefits

  • Work-life balance.
  • Flexible work arrangements.
  • Autonomy to get work done.
  • Health insurance for eligible employees.
  • Comprehensive benefits for eligible employees.

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