REMOTE: Senior Data Engineer

Engineering · Portland, Oregon
Department Engineering
Employment Type Full-Time
Minimum Experience Manager/Supervisor

Work on something you believe in. At Discogs, we believe in sharing music with the world. Our technical teams develop a product that opens the doors to music discovery. The Senior Data Engineer will work to drive adoption of data management standards throughout the organization while building and deploying ETL pipelines and data modeling, and databases.


This is a remote position. Open to candidates located in OR, WA, CA, CO, ID, AZ, TX, IL

Who We Are

Discogs is the largest crowd-sourced, community-driven database of recorded music information in the world. Every day, millions of people use the Discogs Marketplace to connect, learn about music, and buy and sell vinyl records, CDs, and cassettes. As Discogs continues to grow, we are looking for bright, dedicated, creative, and highly motivated people to help us realize our mission to serve the music fan in everyone. We are relatively small, so individual contributions can have a large impact. High value is placed on quality, critical thinking, and continuous improvement. Our teams work collaboratively but are distributed geographically and open-source tools are important to who we are and how we work. We value the experiences and skills each team member contributes to helping us serve our music community.

Who We’re Looking For

With a background in data modeling and building robust data pipelines, the Senior Data Engineer will act as the team’s voice of data integrity and reliability and will work to drive adoption of data management standards throughout the organization. This position reports to the Data Engineering Manager.

What You’ll Accomplish

  • Makes key contributions to defining the Discogs’ data strategy. Along with planning, writing, and deploying data pipelines, is responsible for unit testing, and championing reliability and security while quickly delivering value to the business.
  • Works with other agile delivery team members to design, implement, and optimize data pipelines, data processing, and other data needs.
  • As a data team member, leans on using functional programming practices and performs end-to-end data testing.
  • Applies understanding of data engineering methodologies, processes, and tools to create a unified Discogs’ experience across a variety of platforms and devices for a global audience.
  • Communicates effectively with tech and non-tech members and is capable of delivering feedback to peers and their lead.
  • Assists squad with estimation and prioritization of data efforts.
  • Actively engages with members across the organization to design and deploy useful data services.
  • Coaches and mentors other data engineers by providing recommendations, technical oversight, reviews, and feedback.
  • Capable of delivering data pipelines and architecture from technical design to launch with little oversight.
  • Collaborates closely with the Business and with other Engineering Teams to quickly deliver high quality products that maximize value to the Discogs ecosystem.


Must Have:

  • 10+ years of data engineering experience 
  • Experience building and deploying ETL pipelines and data modeling, and databases
  • Experience with orchestration tools (Airflow, Luigi, etc)
  • Experience with languages such as SQL and Python
  • Thorough understanding of data technologies such as Spark, Kafka, and Kafka Connect
  • Familiarity with AWS services such as S3, Redshift, EKS / Kubernetes, and Personalize
  • Familiarity with data analysis, warehousing, and visualization
  • Thoroughly understands the business vision, mission, and strategy and how their code supports and affects business outcomes.
  • Shows initiative and seeks evidence in data to support ideas.

Great to have:

  • Experience with handling data lineage, data quality, and data discoverability
  • Experience with change data capture (CDC) tools such as Debezium, Hudi, etc
  • Strong understanding of data security and privacy
  • 2+ years of experience working in Agile/Scrum/Kanban teams
  • Experience with business intelligence tools (Tableau, Superset, etc)


  • Bachelor's degree from four-year college or university, or equivalent technical work experience

What We Provide

  • Competitive compensation: salary, plus performance-related bonus program
  • 401(k) with employer match
  • 100% company-paid medical and dental insurance benefits for you and your dependents
  • 4 weeks paid vacation, increasing based on tenure
  • 18 weeks paid leave for birth moms
  • 8 weeks paid parental leave, including for adoption
  • Monthly wellness allowance
  • Annual professional and personal development allowance
  • Work from home office set-up and expense allowances 
  • Flexible work location opportunities 
  • Employer matching toward charitable contributions

What We Believe In

Discogs’ mission is to serve the music fan in everyone. We represent a diverse and inclusive community, and we are committed to serving our community with innovative and creative solutions. We know that innovation happens best when varying perspectives are embraced and integrated. Our global team reflects our global community.

Discogs is an Equal Opportunity Employer.

Applicants needing accommodation to apply should contact us at 503-597-6340

If you apply for this role, you will be required to upload a resume, cover letter, and fill out a few questions regarding your application. Once submitted, our hiring team will review your application and contact you if you are selected for an interview. Whether you are successful or not, we will store your application and data in our system for a maximum period of one year from the application date in case another role becomes available that you are suitable for. If you have any questions or concerns about us storing this data and/or the period of time, please contact us at and we will respond to you within 30 days.

Thank You

Your application was submitted successfully.

  • Location
    Portland, Oregon
  • Department
  • Employment Type
  • Minimum Experience