[Hiring] Senior Data Engineer @Super.com

Role Description

This role is part of our Data Engineering team. Being Data Driven is a core value of Super.com and this team plays a huge part in this, enabling the organization to scale while maintaining petabytes of data. We are long-time advocates and users of Snowflake, dbt, Kafka, and Amplitude. This isn’t a place where we are convincing the business of the value of data or just using these tools for the first time. We have maturity in our technical practices, launch a new experiment almost every day, and we are looking for teammates to roll up their sleeves and do high-quality data work.

As a Senior Data Engineer, you will be a key member of a high-performing team of senior data professionals, reporting directly to an Engineering Manager. You will be expected to tackle the organization's most difficult and critical technical challenges, providing robust, scalable, and reliable solutions that align with the company’s growth.

This position is a specialized function within our SWAT (SoftWare Adaptability Team). As a SWAT team member, your allocation will be driven by the organization's highest short-term needs (6 to 26 weeks). Success in this role requires a rapid contextual ramp-up to quickly diagnose complex problems, align solutions with diverse stakeholders, and design and implement high-quality, impactful data solutions. You must skillfully balance the need for rapid delivery with high-quality data outputs to maximize business value.

What you’ll be working on:

• Design efficient architectural recommendations, gain buy-in, and implement them in a reliable manner
• Improve, oversee, and coach standards for code+infrastructure maintainability and performance through written documentation and peer review
• Work closely with the analytics and business intelligence teams, as well as other stakeholders from finance, sales, marketing, and product, to identify the data needs of the business and produce processes that enable a better product and support growth decision-making
• Champion and ensure data governance is a core component of engineering workflows
• Help to evolve and scale our data platform, with an eye towards growth of our business and stability

Qualifications

• 5+ years of software/data engineering experience with expert hands-on Python and SQL practice
• A track record of taking ownership in high-stakes situations, demonstrating urgency, and rapidly integrating new technologies to drive quantifiable business outcomes
• Evidence of designing and implementing logical, well-architected solutions for complex, large-scale data engineering challenges
• Deep experience in database design, warehouse data modeling, and developing distributed systems, including specific technologies utilized
• Proven ability to clearly communicate intricate technical details and complex requirements to both technical peers and non-technical business stakeholders, leading to alignment and project success
• Predictive modeling and machine learning experience is a strong plus

Benefits

• Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best. We trust you to get great work done on your terms.
• Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
• Everyday Perks: Weekly UberEats credits and travel discounts on Super.com help you enjoy the little things.
• Family-Friendly Benefits: We support growing families with generous parental leave and a flexible return-to-work plan.
• Comprehensive Compensation: Competitive salary, equity options, annual bonus, retirement matching, and top-tier benefits packages.
• Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.