Senior Data Engineer

Job not on LinkedIn

November 18

🏰 Missouri – Remote

Although this job is listed in Missouri, this company may be open to hiring remote in other states.

💵 $90k - $125k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Soleo Health

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Healthcare Insurance • Pharmaceuticals • Wellness

Soleo Health is a specialty pharmacy company that goes beyond simply filling prescriptions by providing personalized patient experiences and access to specialized medications and infusion therapies. They offer treatment in patients' homes, in providers' offices, or at one of their many nationwide infusion centers. Soleo Health specializes in treating complex and ultra-rare diseases with a focus on improving patient quality of life and optimizing health outcomes. They work closely with patients, providers, pharmaceutical manufacturers, payors, and health systems to deliver high-cost therapies, demonstrating value through real-world outcome data. Soleo Health is recognized for its clinical excellence and dedication to patient care, and offers nationwide services, including an online portal, Soleo Connect®, for real-time communication.

501 - 1000 employees

Founded 2013

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🧘 Wellness

📋 Description

• 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. • DevOps Enablement: Implement Azure DevOps 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.

🎯 Requirements

• 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, DevOps). • 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 Power BI, including semantic modeling, dataflows, and DAX optimization. • Familiarity with AI-driven analytics and large language models (LLMs) is a plus—interest and willingness to learn in this area is strongly encouraged. • Experience with data governance, metadata management, and compliance in regulated environments (healthcare or life sciences preferred). • Strong understanding of ETL/ELT methodologies, CI/CD practices, and version control for data engineering workflows.

🏖️ Benefits

• 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