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Data Engineer (Remote)



Data Science
United States · Remote
Posted on Friday, April 19, 2024


We are a producers playground, delivering music creators the tools they need to bring their ideas to life. With a massive, industry-leading catalog of licensed samples, paired with powerful AI, and access to affordable plugins and DAWs, Splice kicks sound discovery, inspiration, and creative output into overdrive.


At Splice, DISCO is a rallying cry for collaboration, accountability and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric and Optimistic. Our shared success depends on our ability to support one another, work well together and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that’s thrown at us.

Splice embraces a culture of remote work. You’ll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental All Hands and get-togethers.

When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?

JOB TITLE: Data Engineer

THE ROLE: As a member of the Data Engineering team, you will create tools, pipelines, and systems that enable the business to reliably operate at scale, gain mission critical insight, and power engaging data products for our customers. You will be building important, large-scale observability into problems that are front-and-center to the business. Along the way, you’ll be championing a culture of data literacy and experimentation, enabling Splice to build the best product it possibly can to enable music creators, everywhere! If this sounds like exciting and fulfilling work to you, apply today!


  • Build and maintain self-service tools and extensible datasets that enable our peers across the whole organization to get the insight they need.
  • Own and operate the structure of our Data Warehouse, ensuring quality, durability, and reliable builds of our pipeline.
  • Address scalability issues, automate manual workflows, and add confidence to our analytics by simplifying and modernizing our datasets.
  • Ensure the quality of our data by writing tests, building observability into our pipelines, reviewing RFCs, and providing guidance in data modeling.
  • Participate in a business hours only on-call rotation to ensure the uptime and quality of our systems.
  • Creating and cultivating a culture of data literacy, experimentation, and data-driven decision making.


  • 3+ years experience building scalable and durable software.
  • Demonstrated proficiency with Python, SQL, and Unix fundamentals.
  • Strong familiarity with OLAP and OLTP databases.
  • Experience with data transformation frameworks, such as sqlmesh or dbt.
  • Experience with business intelligence platforms or data visualization frameworks, such as Looker, Hashtable, or Observable.
  • Strong debugging skills, especially with distributed systems.
  • Experience building supporting Cloud Infrastructure with Google Cloud Platform (GCP) and Amazon Web Services (AWS).
  • Clear and consistent communication in a distributed environment.


  • Experience building Infrastructure as Code (IaC) with Terraform.
  • Demonstrated proficiency with observability tools like StatsD, Datadog, Cloudwatch, etc.
  • Demonstrated proficiency with containers and container orchestration.

The national pay range for this role is $129,500 - $142,000. Individual compensation will be commensurate with the candidate's experience.

Splice is an Equal Opportunity Employer
Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.