Senior Developer, Data Engineering

About the Company

The Senior Developer, Data Engineering will lead the design, development, and delivery of Evention's enterprise data platform, built primarily on Microsoft Fabric. You will set technical direction for the data platform team, architect scalable data pipelines and analytics solutions, and build .NET-based serverless components for the workflows where Fabric is more than the job calls for. You'll partner closely with product, engineering, and business stakeholders to turn data into a strategic asset for our customers.

About the Role

The Senior Developer, Data Engineering will lead the design, development, and delivery of Evention's enterprise data platform, built primarily on Microsoft Fabric, while setting technical direction for the data platform team and partnering with stakeholders to turn data into a strategic asset.

Responsibilities

• Lead and mentor the data platform team, setting technical direction across data engineering, analytics, and architecture initiatives.
• Design, build, and maintain enterprise data solutions on Microsoft Fabric, including lakehouses, data pipelines, and ETL/ELT frameworks.
• Architect scalable data models and analytics solutions that support reporting, BI, and downstream product needs across Evention's platform.
• Develop Spark notebooks and distributed data processing jobs for large-scale data transformation and integration.
• Build .NET-based Azure Function Apps and serverless, event-driven workflows for processes where Fabric is more overhead than the job needs.
• Build and maintain integrations and API connections to client data sources (PMS, POS, OTA, and other systems) feeding the data platform.
• Partner with product managers, engineering leads, and business stakeholders to translate requirements into technical and architectural solutions.
• Establish and enforce best practices for data pipeline development, CI/CD, monitoring, data quality, and governance.
• Perform code and design reviews, mentor team members, and promote strong engineering and data practices.
• Stay current on Microsoft Fabric, Azure data services, and data engineering trends to guide platform strategy and continuous innovation.

Qualifications

• Bachelor's or master's degree in computer science or a related field is preferred.

Required Skills

• 5+ years of experience building enterprise data solutions on Microsoft Azure, including hands-on production experience with Microsoft Fabric or Databricks.
• Proven experience leading, or acting as a technical lead for, a data engineering or data platform team.
• Strong Python skills for data engineering and pipeline development.
• Proficiency in PySpark, Pandas, or Polars libraries for DataFrame processing within Spark and Python notebook kernels.
• General .NET/C# experience, including Azure Function Apps for serverless, event-driven data workflows.
• Experience building data pipelines, lakehouses, and ETL/ELT frameworks within Microsoft Fabric.
• Hands-on experience with Spark notebooks and distributed data processing.
• Strong SQL and T-SQL skills.
• Experience with spec-driven development and agentic AI-assisted development workflows.
• Strong data analytics and data architecture experience, including designing data models and warehouses/lakehouses that support scalable reporting and analytics.
• Strong communication skills and ability to work in a collaborative, agile team environment.

Preferred Skills

• Good to strong understanding of GraphQL APIs for data integration.
• Experience with Azure Data Factory, Databricks, or Azure Synapse.
• Hands-on experience with CI/CD pipelines using GitHub.
• Familiarity with C#, .NET, or React beyond core Function App development.
• Familiarity with AI/ML integration in SaaS applications.

Pay range and compensation package

$125,000 – $156,000

BENEFITS & SUPPORT

Benefits inclusive of medical and dental coverage, a 401k plan with matching, a commuter benefits plan, life insurance, vision insurance, and a bonus plan.

Equal Opportunity Statement

Evention is an equal opportunity employer. We are committed to providing equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law.