Senior Data Engineer

Senior Data Engineer

Soleo Health is seeking a Senior
Data Engineer to support our business needs in Chesterfield, MO. Join us in Simplifying Complex Care!

• Competitive Wages
• 401(k) with a Match
• Referral Bonus
• Paid Time Off
• Great Company Culture
• Annual Merit Based Increases
• No Weekends or Holidays
• Paid Parental Leave Options
• Affordable Medical, Dental, & Vision Insurance Plans
• Company Paid Disability & Basic Life Insurance
• HSA & FSA (including dependent care) Options
• Education Assistance Program

The Senior Data Engineer will design, build, and optimize scalable data pipelines, architectures, and systems that enable data-driven decision-making across the organization. This role partners closely with business and technology stakeholders, including data analysts across multiple business units, to ensure that high-quality, well-structured data is accessible and trusted for analysis. The engineer will also deliver Power BI solutions and curated datasets that translate complex data into actionable business insights while maintaining a secure, reliable, and high-performing data platform.

Responsibilities Include:

• Data Platform Management: Design, build, and maintain scalable, efficient ETL/ELT data pipelines integrating data from multiple source systems (e.g., EMR, nursing, financial, CRM, and operational platforms).
• Cloud and Architecture: Build and manage modern data architectures leveraging Azure Cloud services (Azure Data Factory, Data Lake, Synapse) and Snowflake. Oversee schema design, data ingestion, and performance optimization.
• Snowflake Administration: Manage Snowflake environments including user roles, warehouses, performance tuning, resource monitoring, and administrative tooling.
• Domain Data Modeling: Develop and maintain domain-driven data models that reflect business structures and relationships across key functional areas.
• Data Marts and Consumption: Build and optimize business-unit-centric data marts that enable self-service analytics, data visualization, and decision support.
• Integration and Interoperability: Design and implement integration patterns to unify data across structured and unstructured sources, APIs, and third-party systems.
• AI and Advanced Analytics: Leverage large language models (LLMs) and other AI/ML techniques to analyze curated datasets, identify trends, and drive actionable insights.
• Data Quality and Governance: Establish and maintain data validation, reconciliation, and governance processes to ensure accuracy, consistency, and compliance with security and regulatory requirements.
• Automation and Monitoring: Automate data workflows and build proactive monitoring and alerting frameworks for data pipeline health and performance.
• Visualization and Reporting: Develop and maintain Power BI dashboards and semantic models that translate data into clear, business-relevant insights.
• Dev Ops Enablement: Implement Azure Dev Ops and CI/CD practices for version control, testing, and automated deployment of data solutions.
• Documentation and
  
  Collaboration:
  
  Maintain clear technical documentation for pipelines, data models, and architecture. Collaborate cross-functionally with business and technology teams to align data initiatives with strategic objectives.

Monday-Friday 8am-5pm

• Bachelor’s degree in computer science, Information Technology, Engineering, Data Science, or a related field; master’s degree preferred.
• 5+ years of progressive experience as a Data Engineer, Data Platform Engineer, or similar data-focused role.
• Strong hands‑on experience with Snowflake, including schema design, ingestion pipelines, performance tuning, and administrative management.
• Proven experience designing and managing data architectures using Azure services (Data Factory, Synapse, Data Lake, Dev Ops).
• Proficiency in SQL and scripting/programming languages such as Python and/or Scala.
• Experience designing domain-driven data models and building business-unit‑specific data marts for analytics and visualization.
• Familiarity with data integration patterns across multiple enterprise systems (e.g., EMR, nursing, finance, CRM) and structured/unstructured data sources.
• Working knowledge of…