Senior Developer, Data Engineering
Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Oct 20, 2026. Outsourcey scores C on the Alion truth index.
Requirements: Required 5+ years of experience building enterprise data solutions on Microsoft Azure, including hands-on production experience with Microsoft Fabric. 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. 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 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 Azure DevOps or GitHub. Familiarity with C#, .NET, or React beyond core Function App development. Bachelor's or master's degree in computer science or a related field is preferred. Familiarity with AI/ML integration in SaaS applications. Core 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.
Benefits: Competitive salary Opportunity to shape the HR function of a rapidly growing BPO. Work closely with a team of industry leaders who have successfully scaled BPOs in the past. Career growth and development opportunities. Please attach your CV and we will be in touch for a confidential chat. Let's do great things together!