about 5 hours ago
Base Salary
$168k - $273k/yr
Responsibilities
- Design, build, and optimize robust ETLs using PySpark and DBT.
- Define the technical vision for DC data architecture.
- Mentor engineers and manage external contractors.
- Collaborate with product, engineering, and applied science teams to deliver data solutions.
Requirements
- Significant experience designing and maintaining ETLs for large-scale datasets.
- Proficiency in Python, PySpark, SQL, and experience with Databricks, Snowflake, or DBT.
- 2+ years in a technical lead role, with mentoring experience.
- Strong problem-solving skills with the ability to work with ambiguous requirements.
- Focus on practical outcomes and balancing technical rigor.
- Experience with complex, unclean datasets and innovative processing methods.
- Excellent communication skills for both technical and non-technical audiences.
Benefits
- Comprehensive medical, dental, and vision coverage with most premiums covered.
- Competitive base salary, equity, and a generous 401(k) match.
- Home office stipend and flexible workspace access.
- Annual professional development budget for continuous learning.
- Monthly stipends for wellness and telecommunications.
- Flexible paid time off to recharge.