Senior Software Engineer - Data Platform

About the role

Job Description

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About Super.com

Super.com was founded with a mission to help people maximize their lives by creating opportunities for both customers and employees to reach their full potential. The company fosters a culture where learning is encouraged, innovation is celebrated, and meaningful impact is recognized. As a fast-growing technology company, Super.com is committed to supporting career development through challenging work, collaborative teams, and continuous growth opportunities.

About The Role

Super.com is seeking a talented and experienced Senior Software Engineer, Data Platform to join its Data Engineering team. Data is at the core of Super.com's decision-making process, and this team plays a critical role in enabling the organization to scale while managing petabytes of data efficiently and reliably.

The team utilizes modern data technologies including Snowflake, dbt, Kafka, and Amplitude to support advanced analytics, experimentation, and business intelligence initiatives. As a Senior Software Engineer, you will be responsible for solving complex technical challenges, building scalable data infrastructure, and ensuring the stability and performance of the company’s data ecosystem.

BigData Management

This role operates within the SWAT (Software Adaptability Team), a specialized group focused on addressing the organization's highest-priority technical and business needs. Projects typically range from 6 to 26 weeks and require rapid problem-solving, stakeholder alignment, and the delivery of high-impact data solutions. Success in this position requires balancing speed, quality, scalability, and business value.

Key Responsibilities

Design, recommend, and implement scalable data architecture solutions that support business growth.

Build reliable and maintainable data platform components and infrastructure.

Improve engineering standards related to code quality, performance, scalability, and maintainability.

Conduct peer reviews and contribute to technical documentation and best practices.

Collaborate with Analytics, Business Intelligence, Finance, Sales, Marketing, and Product teams to understand data requirements and deliver actionable solutions.

Develop data processes and systems that support informed business decision-making.

Promote and enforce data governance standards across engineering workflows.

Enhance and scale the organization's data platform to support increasing data volumes and business complexity.

Identify technical bottlenecks and implement solutions that improve platform efficiency and reliability.

Quickly adapt to new projects and technologies while delivering measurable business impact.

Participate in architectural discussions and contribute to long-term platform strategy.

Required Qualifications

Minimum 5 years of professional experience in Software Engineering, Data Engineering, or a related field.

Advanced hands-on experience with Python and SQL.

Strong experience designing and implementing large-scale data engineering solutions.

Deep understanding of database architecture, data warehousing, and data modeling principles.

Experience building and maintaining distributed systems and scalable data platforms.

Proven ability to take ownership of critical projects and deliver results in fast-paced environments.

Strong problem-solving and analytical thinking skills.

Excellent written and verbal communication skills.

Ability to explain complex technical concepts to both technical and non-technical stakeholders.

Experience collaborating across multiple business functions and engineering teams.

Preferred Qualifications

Experience with predictive analytics and machine learning technologies.

Familiarity with modern data platforms and tools such as Snowflake, dbt, Kafka, and Amplitude.

Experience supporting large-scale analytics and experimentation platforms.

Background working in high-growth technology companies.

Knowledge of cloud-based data infrastructure and data governance frameworks.

Technical Skills

Python

SQL

Snowflake

dbt

Kafka

Amplitude

Data Warehousing

Data Modeling

Distributed Systems

ETL/ELT Pipelines

Data Governance

Analytics Engineering

Cloud Data Platforms

Software Architecture

Machine Learning (Preferred)

Benefits & Perks

Remote-First Work Environment

Work from anywhere in the world.

Flexible working hours.

Freedom to manage your schedule while maintaining high performance.

Time Off & Wellbeing

Unlimited Paid Time Off (PTO).

Company-wide recharge days.

Annual team offsites and gatherings.

Wellness and personal wellbeing support.

Compensation & Financial Benefits

Competitive salary package.

Equity opportunities.

Annual performance bonuses.

Retirement matching programs.

Comprehensive employee benefits.

Family Support

Generous parental leave programs.

Flexible return-to-work arrangements.

Family-friendly workplace policies.

Learning & Development

Personal development budget.

Professional learning resources.

Team training opportunities.

Career growth and advancement support.

Additional Perks

Weekly UberEats credits.

Travel discounts through Super.com.

Remote-first culture.

Collaborative and innovative work environment.

AI-Driven Innovation

Super.com actively utilizes Artificial Intelligence (AI) technologies to improve business operations and recruitment processes. The company embraces AI-powered tools to enhance efficiency, identify top talent, and create a more inclusive hiring experience while maintaining fairness and transparency.

Diversity & Inclusion

Super.com is an equal opportunity employer committed to building a diverse and inclusive workplace. Employment decisions are made without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected characteristic.

Workplace Accommodations

Reasonable accommodations are available throughout the hiring process for candidates who require support. Applicants are encouraged to communicate accommodation needs to the Talent Acquisition team.