Senior Data Solutions Developer

Commerce • Austin, TX

1d

About The Position

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. Simply said, we help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers, working together to shape the future of commerce, this is the place for you. As Senior Data Solutions Developer you will help lead the evolution of our data-driven decision-making at scale across the company. This role will be responsible for building, maintaining and supporting data warehousing solutions with an emphasis on creating automated and/or algorithmic approaches that reduce or replace manual effort. You will be instrumental in ensuring access to clean, consistent and logical data to stakeholders in a wide variety of roles.

Requirements

• 3-5 years experience in data warehousing, data modeling, and/or analytics preferred
• Advanced SQL skills in both DML and DDL are required
• Experience with database platforms like Snowflake, Redshift, BigQuery or similar
• Intermediate Python skills plus scripting in 1 or 2 other languages (BASH/Python/JavaScript/etc)
• Experience developing and maintaining ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation)
• Familiarity with dimensional data modeling techniques (snowflake and star schemas, fact tables, slowly changing dimensions,periodic snapshot tables, surrogate keys, etc.)
• Exposure to Amazon Web Services or Linux command
• Possess at least a Bachelor’s degree in a quantitative field (economics, statistics, business, computer science) or equivalent experience, advanced degree a plus
• You are motivated by adding business value and driving revenue for the company
• Quantitative mindset and passion for data
• You are a curious problem solver with a growth mindset
• You enjoy interacting and collaborating with technical developers and analysts as well as non-technical business staff throughout the organization
• Able to deal with ambiguity and problem-solve independently
• Self-starter: able to succeed and have an impact with minimal direction
• Ambitious, self-motivated, and goal-oriented
• Excellent time management skills
• Strong communication skills, both verbal and written

Nice To Haves

• Experience with Airflow is a plus

Responsibilities

• Build and maintain scalable scheduled jobs to extract, load and transform data, in addition to troubleshooting and fixing problems with existing data warehouse ELT jobs.
• Collaborate closely with internal business stakeholders to gather requirements, coordinate deployments, and meet deadlines
• Develop an understanding of business systems and processes in one or more areas of the business such as Sales, Marketing, Customer Success and finance.
• Build and maintain Entity Relationship Diagrams (ERD)
• Transform raw data into highly structured and consistent data sets used by analysts tools to power business insights
• Develop scalable, efficient, and automated processes and data pipelines, in addition to diagnosing and debugging problems with existing structures
• Make recommendations to improve technical systems and infrastructure

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level