H&R Block is looking for an experienced Data Engineer who is passionate about data and is skilled at using Spark, Python, Databricks with knowledge on Cloud Technologies to address a wide range of Tax Data challenges.   

You will work on all aspects of the design, development, and delivery of data solutions, including problem definition, testing and evaluation, and deploying end-to-end pipelines and solutions in production on Azure. The responsibilities include: 

Designing and develop enterprise infrastructure and platforms required for data engineering using Spark, Python, Databricks, SQL, ETL using Azure Data Factory technologies. 

Test and implement data environments with high analyzing skills. 

Azure based cloud technologies to support the data needs. 

This role will require you to be a fast learner to take up any additional related data requirements/technologies. You would join a team that owns Tax Data Ops from Operations perspective.