数据工程师II
Data Engineer II
**我们是谁：**
Splice 是一个为音乐创作者打造的创意平台。专业制作人选择 Splice Sounds 来实现他们的创意想法。Splice 的订阅服务通过行业领先的音效和采样库，以及不断扩展的 AI 技术栈，为数字音乐创作者带来灵感并加速创作成功。通过 DAW 和插件的租赁购买市场，Splice 的体验可以无缝融入任何音乐制作流程，无论使用哪种 DAW（数字音频工作站）。通过 Splice，一支无与伦比的声音设计师和采样创作者团队正在推动越来越多的全球顶级制作人、学生和 DIY 创作者的成功。
**我们如何工作：**
在 Splice，DISCO 是我们组织内部协作、责任和团结的口号；直接、包容、携手合作、以创作者为中心、乐观。我们的共同成功取决于我们支持彼此、协同工作和直接沟通的能力。通过拥抱灵活性和统一的方法，我们可以应对任何挑战。
Splice 营造了一种远程工作的文化。你会看到你的同事来自美国和英国各地。为了保持我们作为一个团队的良好运作，我们有定期的沟通，包括全员大会、部门全体会议和聚会。
当你加入 Splice，你将加入一个同事、同行和合作者的网络。你准备好了吗？
**职位名称：** 数据工程师 II **地点：** _远程 - 美国_
**职位描述：**
我们正在寻找一位数据工程师 II 加入 Splice 的数据工程团队，帮助扩展支撑创作者付款、收入报告和产品分析的平台，覆盖 Splice 的所有产品线。
数据工程构建并维护可靠的基础，使可信数据成为可能，使 Splice 各个团队能够从受控、一致的单一真实数据源进行工作。我们负责仓库和管道基础架构；数据摄取、转换以及确保数据一致、及时和可用的标准和质量保障机制。这是一个中等水平、高自主权的职位：这里的工程师会从技术设计到交付、监控和文档全程负责功能，并参与我们的值班轮班。
这项工作需要实际的数据工程经验。我们的技术栈包括 BigQuery、SQLMesh、Python 和 Dagster，这与 Splice 的 Web 工程技术栈不同，有效贡献需要对数据管道系统有领域专业知识，而不是通用软件开发经验。
查看英文原文
**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: Data Engineer II** **LOCATION:** _REMOTE- US_
**THE ROLE:**
We're looking for a Data Engineer II to join Splice's Data Engineering team and help scale the platform that powers creator payouts, revenue reporting, and product analytics across Splice's product lines.
Data Engineering builds and maintains the reliable foundation that makes trusted data possible, enabling teams across Splice to work from a governed, consistent source of truth. We are accountable for the warehouse and pipeline foundation; ingestion, transformations, and the standards and quality guardrails that keep data consistent, timely, and usable. This is a mid-level, high-ownership role: engineers here carry features from technical design through delivery, monitoring, and documentation, and participate in our on-call rotation.
The work requires hands-on data engineering experience. Our stack; BigQuery, SQLMesh, Python, Dagster- is distinct from Splice's web engineering stack, and effective contribution requires domain expertise in data pipeline systems, not general software engineering background.
**TEAM INFORMATION:**
You'll be joining Splice's Data Engineering team, a small, embedded platform team responsible for the pipelines, transformations, and warehouse infrastructure the rest of the company depends on. Our systems support finance-critical processes (contributor payouts, GAAP revenue reporting), product analytics, and data reliability for customer-facing features like recommendations. We operate with a shared on-call rotation and a strong bias toward observable, well-documented, durable systems.
**WHAT YOU’LL DO:**
**Pipeline Development & Transformation**
- Build and maintain data models in SQLMesh, including incremental strategies, testing, and documentation
- Continuously improve and evolve our orchestration and transformation infrastructure as the platform scales
- Modernize legacy pipeline jobs in Python and SQLMesh, reducing technical debt over time
**Reliability & Observability**
- Participate in on-call rotation; triage and resolve incidents including ETL failures, data unavailability, and core metric breakage
- Build introspectable software: define alert thresholds, emit metrics and logs, produce dashboards, and establish closed-loop escalation paths
- Improve observability across the platform so failures are caught early and resolved quickly
**Finance & Revenue Pipelines**
- Extend and maintain pipelines powering creator payouts and GAAP-compliant revenue reporting across Splice's product lines
- Build pipeline support for new revenue streams as Splice launches them
**Platform Quality & Optimization**
- Improve query performance and reduce compute costs in BigQuery
- Contribute to ingestion platform work and product analytics infrastructure
- Uphold our definition of done: validation complete, documentation updated, monitoring in place before closing a ticket
**JOB REQUIREMENTS:**
- 3+ years of hands-on data engineering experience in a production environment
- Proficiency in SQL — window functions, CTEs, query optimization, execution plan analysis
- Proficiency in Python for pipeline logic, data transformation, and testing (maintainable code, not just scripts)
- Experience with a modern transformation framework — SQLMesh, dbt, or equivalent — including incremental models, testing, and documentation
- Production experience with a cloud data warehouse (we use BigQuery); understands partitioning, clustering, and cost management
- Experience with at least one workflow orchestrator (Dagster, Airflow, Prefect, or equivalent)
- Demonstrated ability to build observable, reliable data systems — alerting, dashboards, and data quality checks
- Comfortable owning small-to-medium features from technical design through delivery with limited guidance
**SPLICE BENEFITS:**
- **Compensation & Equity:** Competitive pay with annual reviews and equity opportunities.
- **Time Off:** Unlimited PTO to recharge and thrive.
- **Health & Wellness:** Comprehensive medical, dental, and vision coverage for you and your dependents.
- **Retirement Savings:** 401(k) plan with immediate vesting and company match.
- **Parental Support:** 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents.
- **Flexible Work Options:** Work remotely or connect at our office hubs and creative spaces worldwide.
- **Professional Growth:** Annual learning budget, leadership programs, and team ambassador opportunities.
- **Community & Connection:** Inclusive events, team meet-ups, and vibrant Employee Resource Groups.
The national pay range for this role is $94,952 - $118,690. 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.