Senior Data Engineer

Senior Data Engineer

Company Description

Reverb is the largest online marketplace dedicated to buying and selling new, used, and vintage musical instruments. Since launching in 2013, Reverb has grown into a vibrant community of buyers and sellers all over the world. By focusing on inspiring content, price transparency, musician-focused eCommerce tools, a music-savvy customer service team, and more, Reverb has created an online destination where the global music community can connect over the perfect piece of music gear.

We believe that music makes the world a better place, which is why our mission is to make the world more musical. Sales on Reverb help support Reverb Gives, which provides youth music education programs across the world with instruments they need to make music.

Job Description

Our Engineering organization takes pride in crafting extraordinary software in service of our mission. We take an active role in product ownership by measuring the impact of features we release, collaborating with internal partners, fixing bugs, and ultimately building products and features that have a measurable impact on the business. Our team works together, pairing on design and coding patterns, peer-reviewing code, and elevating other developers through continuous mentorship and learning opportunities.

As part of Reverb’s Data Engineering team, you’ll help build a platform to enable confident, informed decisions and products that scale along with our business. We are a small, forward-thinking team looking for creative engineers who can face a wide range of problems, researching and implementing innovative solutions that make the most of our data.

This is a full-time position reporting to the Data Engineering Manager of our data team. For candidates located in NYC, San Jose, San Francisco, or Seattle, please visit this link for compensation information. For candidates in all other eligible locations, the base salary range will be $128,000 - $166,000 USD per year.


  • Maintain and improve our data pipelines and warehouse to ensure our users have timely access to accurate data. Our current stack uses Python, Airflow, Redshift, DBT, Looker, and more.
  • Actively contribute to building out our machine learning platform, and partner with our data science and product teams to model, train, and apply ML models to new areas in our apps and business.
  • Collaborate with data analysts and other internal partners across the organization to find exciting insights within our data and make them available to our product teams.
  • Build and share a deep understanding of your chosen languages, framework, or other area of expertise. Push yourself and the team to be continuously learning and growing.
  • Demonstrate a sense of ownership for your work including understanding requirements, crafting solutions, and building robust testing plans to ensure the highest data quality.
  • Participate in pairing sessions, code reviews and other team habits.


We use a wide variety of languages, frameworks, and databases, so there are many skills and experiences that would make you a good fit for our team, including, but not limited to:

  • Python in web or data engineering applications.
  • ETL/ELT pipelines and data warehousing.
  • Relational databases including data modeling, performance, optimizations, and crafting SQL queries.
  • Understanding of different types of data storage and their trade-offs.
  • Experience in machine learning techniques, pipelines and applications.
  • Ability to collaborate with engineering peers, data scientists, data analysts, and other business and product partners.
  • Familiarity with AWS infrastructure.
  • Experience in agile development.

Additional Information

Remote-eligible roles (as indicated in the location header of each job description) are available in all U.S. states except Alaska and Hawaii. Remote roles are currently only available within the U.S. unless otherwise specified in the specific job description.

Reverb offers compensation packages that include base, bonus, and equity in the form of Etsy restricted stock units. Some of our key benefits include but are not limited to the following:

  • 100% paid premiums for medical, dental, and vision coverage for the employee, spouse or domestic partner, and all eligible dependents. Medical coverage includes gender affirming care.
  • Life, AD&D, and supplemental long-and short-term disability insurance
  • A matching 401(k)
  • A generous PTO policy that includes vacation, sick/mental health days plus 11 paid holidays and two floating holidays
  • Professional development and continued learning opportunities through access to mentoring, 1:1 coaching, and platforms like Skillsoft, LinkedIn Learning and Codecademy 
  • 18 weeks of gender-neutral parental leave for the birth or adoption of a child
  • Up to $25,000 reimbursement of adoption and/or surrogacy related expenses
  • Paid sabbatical program
  • $1,000 annual work/life stipend
  • Access to free supplemental online mental health services and meditation apps Ways to give back to your community through a charitable contribution match and volunteer time off

At Reverb, we believe that a diverse, equitable and inclusive workplace makes us a more relevant and resilient company. We welcome people from all backgrounds, ethnicities, cultures, and experiences. Reverb is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

We know that the impostor syndrome and confidence gap are real. Please do not hesitate to apply!


Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.