Senior Developer, Data Engineering

Evention, Llc

Chicago, IL, United States

19 days ago

Apply on www.indeed.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

.NET Framework Adaptable Database Systems Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Data Analysis Microsoft Azure Big Data C Sharp (Programming Language) Software as a Service Continuous Integration Data Architecture

+28 more

Information Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL) Distributed Computing Environment Github Python (Programming Language) Standard Sql Software Engineering Software Technical Review Transact-SQL Enterprise Data Management Azure Data Factory ReactJS Apache Spark Pandas Microsoft Fabric Pyspark Information Technology Google Cloud Functions Data Analytics Graphql Machine Learning Operations Azure Synapse Analytics Data Pipelines Serverless Computing Databricks

Job description

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.

Requirements

Required

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

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.

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

Familiarity with AI/ML integration in SaaS applications.