Senior Software Engineer-Data Operations (Databricks/AI)

H&R Block•Remote, MO

1d•$101,200 - $161,900•Remote

About The Position

The Data Ops team is seeking a highly skilled Senior Software Engineer to design, build, and support enterprise-scale data platforms, automation frameworks, and data engineering solutions that enable reliable, secure, and efficient data operations across the organization. This role will be responsible for developing cloud-native solutions, creating scalable data pipelines, improving platform reliability, automating operational processes, and driving adoption of modern engineering practices using technologies such as Microsoft Fabric, Azure Data Services, Databricks, GitHub Copilot, and Azure DevOps.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field.
Minimum 5 years of professional software engineering experience.
Minimum 3 years of experience developing cloud-based solutions.
Experience supporting enterprise-scale data platforms and operational systems.
Experience working in Agile/Scrum environments.
Programming: C#, .NET, Python, SQL, REST APIs
Cloud & Data Platforms: Microsoft Azure, Azure Data Factory, Azure SQL, Databricks, Data Lake technologies
DevOps & Automation: Azure DevOps, Git, CI/CD Pipelines, Infrastructure as Code, Monitoring & Observability
Data Engineering: ETL/ELT Design, Data Modeling, Data Pipeline Development, Data Quality Frameworks, Performance Optimization

Nice To Haves

Experience with Microsoft Fabric.
Experience with GitHub Copilot or Microsoft Copilot.
Experience designing DataOps or Platform Engineering solutions.
Azure, Fabric, Databricks, or related cloud certifications.

Responsibilities

Design, develop, and maintain enterprise-grade applications, APIs, services, and automation solutions supporting Data Ops platforms.
Build reusable frameworks and components that improve operational efficiency and reduce manual effort.
Develop and maintain CI/CD pipelines using Azure DevOps and Git-based workflows.
Design and optimize scalable ETL/ELT pipelines and support enterprise data operations.
Develop solutions using Microsoft Fabric including Lakehouse, Data Factory, Warehouses, Real-Time Analytics, and Semantic Models.
Leverage GitHub Copilot and Microsoft Copilot to improve developer productivity and accelerate delivery.
Participate in production support, root cause analysis, monitoring, and platform reliability initiatives.
Mentor junior engineers and contribute to architectural and technical roadmap discussions.