Senior Data Engineering Developer

Salary: $110,000 - 156,000 per year Requirements:

• Bachelors or masters degree in computer science or a related discipline preferred.
• At least 5 years of experience building enterprise data solutions on Microsoft Azure, with production experience using Microsoft Fabric or Databricks.
• Demonstrated experience leading or serving as technical lead for a data engineering or data platform team.
• Strong Python skills for data engineering and pipeline development.
• Proficiency with PySpark, Pandas, or Polars for DataFrame processing in Spark and Python notebook environments.
• General .NET/C# experience, including Azure Function Apps for serverless, event-driven data workflows.
• Experience developing data pipelines, lakehouses, and ETL/ELT frameworks in Microsoft Fabric.
• Practical 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 architecture expertise, including designing data models and warehouses or lakehouses for scalable reporting and analytics.
• Strong communication skills and the ability to work collaboratively in an agile team.
• Preferred: good to strong understanding of GraphQL APIs for data integration.
• Preferred: experience with Azure Data Factory, Databricks, or Azure Synapse.
• Preferred: hands-on experience with GitHub-based CI/CD pipelines.
• Preferred: familiarity with C#, .NET, or React beyond core Function App development.
• Preferred: familiarity with AI/ML integration in SaaS applications.

• Lead and mentor our data platform team, setting technical direction across data engineering, analytics, and architecture.
• Design, develop, and maintain enterprise data solutions on Microsoft Fabric, including lakehouses, pipelines, and ETL/ELT frameworks.
• Architect scalable data models and analytics solutions for reporting, business intelligence, and downstream product needs across our platform.
• Develop Spark notebooks and distributed processing jobs for large-scale data transformation and integration.
• Build .NET-based Azure Function Apps and serverless, event-driven workflows when those solutions are a better fit than Fabric.
• Create and maintain integrations and API connections to client data sources, including PMS, POS, OTA, and other systems.
• Work with product managers, engineering leads, and business stakeholders to turn requirements into technical and architectural solutions.
• Establish and uphold best practices for pipeline development, CI/CD, monitoring, data quality, and governance.
• Conduct code and design reviews, mentor colleagues, and promote strong engineering and data practices.
• Keep current with Microsoft Fabric, Azure data services, and data engineering trends to guide platform strategy and ongoing innovation.

• Agentic AI
• AI
• API
• Architect
• Azure
• Business Intelligence
• C#
• CI/CD
• Databricks
• ETL
• Fabric
• GitHub
• GraphQL
• Python
• PySpark
• React
• SQL
• Serverless
• Spark
• pandas
• ASP.NET
• Cloud
• Support

More:

At Evention, we are building an enterprise data platform primarily on Microsoft Fabric. In this senior role, you will help make data a strategic asset for our customers by working closely with product, engineering, and business stakeholders. We offer a compensation range of $110,000–$156,000 and are an equal opportunity employer; all qualified applicants receive consideration without regard to characteristics protected by applicable law.

last updated 42 week of 2026