- 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 by partnering with our Data Science, Search Science and Product teams who are focused on launching ML models for search, recommendations, and other areas.
- 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.
- Python in data engineering, web and/or ML 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.
- 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
- 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
- Annual work/life stipend
- Ways to give back to your community through volunteer time off
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Software Engineer, Data - Chicago - Reverb
Description
About Reverb
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 e-commerce 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 love working at Reverb because we're making the world more musical—through our marketplace and through Reverb Gives, which provides musical instruments to youth music education programs. We were named a "Best Place to Work" by Built in Chicago and a "Top Workplace" by the Chicago Tribune.
The Role
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, hybrid position reporting to the Senior Engineering Manager of our Data Engineering team. Hybrid team members are expected to work from our Chicago office 1-3 times per week, depending on team norms.
Responsibilities
Requirements
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.
Benefits
At Reverb, we believe that an equitable and inclusive workplace where people from all backgrounds can come, stay and thrive makes us a more relevant and resilient company. 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. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know.
We know that impostor syndrome and the confidence gap are real. Please do not hesitate to apply
The Pay Range For This Role Is
115, ,000 USD per year (US US-Chi)
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