Dezenhall Resources, Ltd

Data Engineer

Richmond, VA, US

about 1 month ago
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Summary

Description

At SingleStone, we operate at the intersection of people and technology, engineering solutions that bring out the best in people. We are a team of problem-solvers, technologists, and strategists who believe in elevating humanity in business by delivering solutions that make a real impact on the lives of other people.

About

As a Data Engineer, you will be responsible for building and optimizing data pipelines, ensuring data integrity, and enabling advanced analytics. You’ll work with a cross functional team of engineers, analysts, and strategists to turn raw data into valuable insights. Beyond technical execution, this role is about problem-solving, continuous learning, and creating value added solutions. Here's what we'll expect in this role:

Prioritize Client Success

  • Design and build reliable, scalable data pipelines that support business and analytics needs.
  • Partner with stakeholders to understand data challenges and develop solutions that deliver long-term value.
  • Ensure data is accessible, accurate, and actionable to enable better decision-making.

Get Comfortable Being Uncomfortable

  • Navigate complex, evolving data environments with confidence and adaptability.
  • Experiment with new tools, techniques, and cloud solutions to drive innovation.
  • Solve ambiguous problems by making informed decisions with the best available data.

Peel Back the Onion

  • Be insatiably curious—explore new ways to improve data quality, efficiency, and usability.
  • Dig deep into data architectures, optimizing performance and eliminating bottlenecks.
  • Ask the tough questions to uncover the root causes of data challenges and solve them at scale.

Build to Last

  • Develop efficient, maintainable, and scalable data solutions that endure beyond a single project.
  • Ensure data governance, security, and best practices are built into every solution.
  • Mentor and support colleagues, fostering a culture of learning and knowledge-sharing.

Embrace Being Small & Mighty

  • Be scrappy, stay hungry. Move fast, experiment, and adapt—speed and agility are extremely important.
  • Roll up your sleeves and get your hands dirty. Take ownership and find creative solutions to technical challenges.
  • Push through challenges with grit and a growth mindset.

Help Others Be Great

  • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes.
  • Translate technical data concepts into clear insights for non-technical stakeholders.
  • Foster an inclusive, supportive team environment that fosters creativity, accountability, and high performance.

Requirements

  • Experience building and optimizing data pipelines, architectures, and integrations.Proficiency in Python, Databricks/Spark, Snowflake, SQL, unstructured formats.
  • Experience leveraging large language modes LLMs for your own efficiency and implementing generative AI solutions for clients.
  • Strong problem-solving mindset—you go beyond fixing problems to prevent them from happening again.
  • A collaborative approach—you work well across teams and communicate complex ideas simply.
  • A drive for continuous learning and growth in the evolving data landscape.

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