Sr Data Engineer

  • H&R Block,
  • Kansas City, MO
  • 1 hour ago
Engineering, IT, Computer, Python, Perl, JavaScript
Full Time

Job Description

What you'll do...

At H&R Block, your contributions will go far beyond any job description. When you join our team, you'll add to the momentum of a forward-thinking company - one that defined an industry and is now leading its transformation. H&R Block is transforming tax preparation through data to ensure that every client we serve gets the best tax outcome possible.

We are continuing to build our Data Engineering Team in the Data Science & Analytics organization. This team owns the technology and data capabilities of the end-to-end data-and-analytics function. It takes responsibility for building and maintaining the analytical technologies that the data science teams use, managing data at an enterprise scale, leveraging relationships with IT teams throughout the enterprise, and leading information architecture.

We are looking for talented, curious, and creative Senior data engineer. You will be a good match for our organization if you are:
  • Motivated by the idea of building something innovative, transformative, and impactful.
  • Committed to the idea that data can drive experiences and products that wow our business partners and clients
  • Obsessed with defying expectations and raising the bar
  • Driven by an innate sense of ownership for the products you create.
  • Design and deploy architecture, solutions, and software to capture, manage, store, and use structured and unstructured data from internal and external sources in both on-prem and cloud environments.
  • Deploy machine-learning models and other data-science products across the enterprise.
  • Navigate the balance between business needs, data governance best practices, and technical requirements.
  • Select or develop tools to cleanse, organize, and transform data and to maintain, defend, and update data structures and integrity on an automated basis.
  • Develop data products to facilitate self-service capabilities and assist the data teams to increase their efficiency and effectiveness.
  • Collaborate and communicate effectively within cross-functional teams that span internal Data Science & Analytics teams, IT, business groups, and executive stakeholders.
  • Be a positive force to cultivate a culture that is passionate about developing data tools as a business driver.

It would be even better if you also had...

  • Master of Science degree in a related field or the equivalent through a combination of education and related work experience.
  • Advanced (applied theory) Develop and deploy new tools to help protect, govern, validate and maintain the data sources used by the data science and analytics team.
  • Advanced (applied theory) Experience Applying ML to data engineering problems.

What you'll bring to the team...

  • Bachelor's degree in Computer Science or a related technical field (or equivalent work experience and technical skills)
  • Three years minimum related work experience
  • One year minimum experience leveraging the Azure technology Stack
  • Data warehousing and ETL solutions
  • APIs in a microservices architecture
  • NoSQL implementations (MongoDB)
  • At least one scripting language (Python, Perl, JavaScript, Shell)
  • Developing software solutions to solve complex business problems
  • Working with data scientists and other data users
  • Intermediate (practical application) Relationship building and conflict management skills

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Originally Posted : 5 months ago
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