WHO WE ARE:
Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.
HOW WE WORK:
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: Sr. Data Engineer I (US - Remote)
LOCATION: Remote
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. Your work will provide critical observability into large-scale 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!
WHAT YOU’LL DO:
- Own and operate the structure of our Data Warehouse, ensuring reliable ingestion of mission-critical data and reliable builds of our pipelines.
- Build and maintain self-service tools and extensible datasets that enable our peers across the organization to get the insight they need.
- Identify, scope, and execute projects that address scalability issues in our batch builds, automate manual workflows, and add confidence to our analytics by simplifying 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.
JOB REQUIREMENTS:
- 5+ years of experience building scalable and durable software.
- Demonstrated mastery of Python, SQL, and Unix fundamentals.
- Demonstrated operational excellence in maintaining Data Warehouses, such as GCP BigQuery or AWS RedShift.
- Strong familiarity with data transformation frameworks, such as sqlmesh or dbt.
- Experience with business intelligence platforms or data visualization frameworks like 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.
NICE TO HAVES:
- 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 $142,500 - $155,000. 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.
Top Skills
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
