Staff Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Data Engineer (AI): Building and scaling data integrations for distribution center products with an accent on ETL design, large-scale data processing, and platform optimization. Focus on defining technical architecture, mentoring engineers, and delivering robust solutions to power machine learning grocery systems.
Location: Remote (Must reside in Canada or specific US states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI)
Salary: $148,000–$242,000 CAD
Company
is an AI-driven platform dedicated to reducing food waste in the grocery industry through advanced machine learning solutions.
What you will do
- Design, build, and optimize robust ETL pipelines using PySpark and DBT to process large-scale customer datasets.
- Define the technical vision for DC data architecture and lead the implementation of scalable data solutions.
- Mentor engineers and manage external contractors to ensure high-quality delivery.
- Partner with product, engineering, and applied science teams to scope and address data quality challenges.
- Develop tools and frameworks to streamline customer integrations and improve platform scalability.
Requirements
- Must be based in Canada or one of the specified US states.
- Significant experience designing and maintaining ETLs for large-scale datasets.
- Proficiency with Python, PySpark, SQL, and platforms like Databricks, Snowflake, or DBT.
- 2+ years of experience in a technical lead role with a focus on mentorship.
- Strong problem-solving skills and ability to work with ambiguous requirements.
- Position is not eligible for immigration sponsorship.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage.
- Flexible remote work environment with home office and telecommunications stipends.
- Annual professional development budget for continuous learning.
- Flexible paid time off to support work-life balance.
- Mission-driven culture focused on social impact and sustainability.
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