Senior Data Engineer-SQL/Azure

H&R Block • Kansas City, MO

2d • Remote

About The Position

We’re seeking a Senior Data Engineer with strong experience building and evolving modern data- and AI-enabled platforms. This is a hands-on, senior individual contributor role focused on designing, developing, and optimizing scalable software solutions across data, analytics, and AI workloads.
You will play a key role in implementing cloud-native data and AI services, contributing to architectural decisions, and partnering closely with data engineers, ML engineers, and product teams to deliver reliable, secure, and high-performing platforms. While not a people manager, you’ll be expected to provide technical leadership through influence, code quality, and design rigor.

Requirements

• Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience.
• 5+ years of experience building production-grade software, with significant exposure to data platforms, cloud services, or AI-enabled systems.
• Strong hands-on experience with Azure data technologies and modern data architecture patterns.
• Proficiency in SQL, with solid software engineering fundamentals (data modeling, APIs, testing, version control).
• Experience with CI/CD pipelines, DevOps practices, and cloud infrastructure.
• Ability to design systems, reason about trade-offs, and contribute to architectural discussions.
• Strong communication skills and the ability to work effectively with cross-functional teams.
• A growth mindset and passion for learning, quality engineering, and continuous improvement.

Nice To Haves

• Experience with Microsoft Fabric.
• Experience with OneLake, Lakehouse architecture, Power Platforms, or Fabric-native governance tools.
• Exposure to feature stores, or advanced analytics.
• Azure or Microsoft Fabric certifications.

Responsibilities

• Design, develop, and maintain scalable software components for data and AI platforms using Microsoft Fabric, Azure Data Services, Data Lakes, and cloud-native services.
• Build robust data ingestion, transformation, and serving layers that support analytics, AI, and operational use cases.
• Contribute to end-to-end delivery of data and AI solutions, including data pipelines, semantic models, APIs, and consumption layers.
• Ensure solutions meet standards for performance, reliability, security, and cost efficiency.
• Participate in modernizing legacy systems toward cloud-native and AI-enabled architectures.
• Optimize pipelines, queries, and services for scale, resilience, and operational excellence.
• Partner with analytics, AI/ML, and application teams to deliver reusable data assets, shared services, and self-service capabilities.
• Support downstream use cases such as dashboards, advanced analytics, and machine learning workloads.
• Apply and promote best practices for software engineering, CI/CD, testing, observability, and infrastructure-as-code.
• Contribute to standards for data quality, data governance, lineage, security, and monitoring (e.g., DataDog).
• Data governance, risk management, and compliance using Microsoft Purview
• Provide technical guidance and code reviews for peers and junior engineers.
• Collaborate closely with product managers, architects, and cross-functional partners to deliver high-impact solutions.

Benefits

• You’ll reap the rewards of helping others along with competitive compensation and benefits to support your health and well-being.
• Specific benefits may vary based on your role. For detailed eligibility requirements and benefits information, visit blockbenefits.com.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees