Data/AI Engineer

Pitch This Project 11:42 AM 22 Dec 2025

Summary

Who you are:

  • You're a pragmatic problem-solver who finds creative ways around obstacles. You excel at building scalable, data-driven solutions to ambiguous challenges. Whether you're writing SQL queries or researching harmful ingredients in supply chains, you approach problems with curiosity and rigor. You move fast, learn continuously, and believe the climate crisis demands
  • Build scalable data infrastructure. Design and maintain pipelines that source, clean, and process large datasets, enabling us to evaluate thousands of brands efficiently.
  • Unlock insights through rapid analysis. Conduct targeted analyses that answer critical business questions and help users make informed purchasing decisions.
  • Apply AI to real-world problems. Develop agentic tools and leverage LLMs to automate data collection, improve recommendation systems, and scale our ability to assess brand sustainability.
  • Collaborate across teams. Partner closely with Engineering and Product to understand our systems deeply, identify improvement opportunities, and scale solutions as we grow.
  • Learn and iterate relentlessly. Embrace experimentation, treat learning as the primary outcome of your work, and push the team to move faster while staying focused on impact.
  • Measure what matters. Define metrics to track progress, demonstrate system improvements, and quantify the real-world impact of your work.

What you bring:

  • Technical foundation. Proficiency in SQL, Python, and building data pipelines, with at least a few years of experience applying this in fast-moving work environments. It’s a plus if you have experience with scraping and cleaning data.
  • AI-forward mindset. You're an early adopter of GenAI tools and actively explore how LLMs can transform workflows. Bonus: experience applying AI to large-scale data collection, analysis, recommendations, or consumer applications.
  • Structured thinking. You approach problems methodically—seeking out new data sources, validating hypotheses, and building systems that scale. You're skeptical in the right ways and data-driven in your decision-making.
  • Bias for action. You thrive in fast-paced, ambiguous environments. When blocked, you find another path. You ship valuable work quickly and aren't afraid to iterate.
  • Clear communication. You gather requirements efficiently, synthesize information into clear next steps, and communicate proactively in writing and conversation.
  • Passion for sustainability. You're motivated by helping people make informed choices and holding companies accountable. You're familiar with—or eager to decode—corporate sustainability practices. You’re a discerning customer yourself and skeptical of false claims.

Skills

  • Python
  • SQL
  • LLMs

Info

  • Company : SkyNetAppDev
  • Experience : Mid Level
  • Project Start Date : 22 Dec 2025
  • Location : Remote
  • Project End Date: Not specified
  • Referral Bonus: $ 0.00

Visa Status

    Not Specified

Arun Kalyan

SkyNetAppDev

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