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Staff Software Engineer (Data / Tech Lead, Distribution Center)

Afresh Technologies · United States

External listingfull-time21 days ago

About The Role

Join our team as a Staff Software Engineer (Data / Tech Lead, Distribution Center) and play a key role in building and scaling data integrations for our suite of Distribution Center products. You will design and implement ETLs, define the technical vision for DC data architecture, and collaborate with cross-functional teams. This position offers comprehensive health plans, generous parental leave, equity packages, 401k matching, a flexible vacation policy, and a professional development program.

  • Design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable.
  • Define the technical vision for DC data architecture, mentor engineers, and manage external contractors to ensure the team delivers high-quality, practical solutions for current and future needs.
  • Partner with product, engineering, and applied science teams to scope work and deliver data solutions that address real-world challenges in customer data quality and product feature requirements.
  • We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you!
  • If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines how the world eats, there is no better time to join us
  • Significant experience designing and maintaining ETLs that process large-scale datasets
  • A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done
  • Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences
  • Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT
  • Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them
  • We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification
  • 2+ years experience in a technical lead role (e.g. Tech Lead or Engineering Manager), with a willingness to mentor and help others grow
  • A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort
  • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions

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