Senior Data Engineer

About

Our Company

We care about helping people. Our purpose is to provide help and inspire confidence in our clients and communities everywhere. Our associates feel a sense of belonging in an inclusive place with an amazing history and a sharp focus on our future. Our connected culture is who we are and how we work together to achieve our strategies, accelerate our transformation, and achieve extraordinary results. It’s an exciting time to be a part of H&R Block!

Since 1955, we have been leaders in tax preparation, financial services, and small business solutions. With 70,000 associates and 9,000 retail tax locations across North America, Australia, Ireland, and India, we have helped millions of clients and countless communities. If you embrace challenges as opportunities, value winning as a team, and seek to make a meaningful difference, join us on our journey. You’ll reap the rewards of helping others along with competitive compensation and benefits to support your health and well‑being.

Responsibilities

Day to day, you'll…

• Design & Build

  • 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.

• Implement End‑to‑End Solutions

  • 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.

• Modernize & Optimize

  • Participate in modernizing legacy systems toward cloud‑native and AI‑enabled architectures.
  • Optimize pipelines, queries, and services for scale, resilience, and operational excellence.

• Enable Data & AI Products

  • 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.

• Engineering Excellence

  • 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.

• Technical Collaboration & Mentorship

  • 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.

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.

Preferred Qualifications

• 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.

Benefits

Specific benefits may vary based on your role. For detailed eligibility requirements and benefits information, visit blockbenefits.com.

Equal Opportunity

H&R Block does not tolerate discrimination based on a person’s race, color, religion, ancestry, age, sex/gender (including pregnancy, childbirth, related medical conditions and sex‑based stereotypes and transgender status), sexual orientation, gender identity or expression, service in the Armed Forces, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law.