Data Engineer jobs in United States

About Super.com - We started Super.com to help maximize lives – both the lives of our customers and the lives of our team – so that everyone can experience all that life has to offer. For our employees, our promise is that Super.com is more than just a job; it’s an opportunity to unlock one’s potential, where learning is celebrated and impact is realized.

We are more than a fast-paced, high-growth tech company; we care about our people and take career progression seriously. This is your career and our aim is to supercharge it through the people, the work, and the programs that fuel who we are.

About the role - Our data scientists are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model. This allows our team members to gain deep experience and context into specific business problems and verticals to grow quickly to become subject matter experts. This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work.

About the team - This role is part of our Analytics & Data Science team. Being Data Driven is a core value of Super.com and this team plays a huge part in this. We are long time advocates and users of Snowflake, DBT & Amplitude.

What you’ll be working on

• Apply statistical analysis and machine learning techniques to uncover insights, build predictive models, and support data-driven decision-making.
• Investigate data trends, patterns, and anomalies; assist in diagnosing issues and identifying opportunities through exploratory data analysis (EDA).
• Access, clean, and transform large raw datasets to prepare them for modeling and analysis.
• Collaborate closely with product, engineering, and business teams to translate problems into data science solutions.
• Autonomously identify business challenges that have impactful data solutions and build the right solutions to address them.
• Design and execute personalization experiments (e.g., A/B tests) to test hypotheses, measure product changes, and inform business strategies.
• Develop, prototype, and validate machine learning models and algorithms.
• Create clear visualizations and reports to communicate technical findings and model results to stakeholders.
• Follow best practices for reproducibility, model evaluation, documentation, and version control in data science workflows.
• Support efforts to improve data quality, feature engineering processes, and model monitoring practices.

What we’re looking for

• 2+ years of experience in data science roles
• Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc)
• Intermediate knowledge of SQL with the ability to create clean and transform datasets, ideally with DBT
• Collaborative and verbose communication about why and how we approach business questions
• Strong programming skills with working knowledge of machine learning packages such as sklearn, pandas, numpy, tensorflow, etc.

Compensation - $77,000 - $134,000 a year. As a remote-first organization, we use benchmarking data reflective of your geographical area to ensure our compensation package is competitive based on where you reside.

Benefits - At Super.com, we believe in supporting our team so they can thrive—both at work and in life. We offer:

• Remote-First Flexibility: Work from anywhere in the world and choose the hours that suit you best.
• Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
• Everyday Perks: Weekly UberEats credits and travel discounts on SuperTravel 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, and top-tier benefits starting on day one.
• Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.

EEO Statement - Super.com is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Accommodations are available on request for candidates taking part in all aspects of the selection process.