Software Engineer, Data Platform
Metronome is the leading usage-based billing platform built for modern software companies. We help teams launch products faster, iterate on pricing quickly, and deliver a first-class billing experience—all with speed, control, and confidence.
Job Description
About the Role
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The Data Platform team is responsible for aggregating all of Metronome’s data and providing offline data computation in near real-time and batch. Our Data Platform is unique since it not only powers internal use-cases, but also some of our most critical products and customer-facing features—including Data Export (which transfers data into customers' data warehouses), in-app analytics and reporting, andinternal analytics. Our work directly powers financial workflows for companies like OpenAI, Anthropic, Confluent, and Databricks, enabling everything from revenue reconciliation and books close to regulatory reporting and forecasting.
Core Areas of Ownership
As an engineer on the Data Platform team, you'll ingest and process all of Metronome’s data and build a self-serve platform that enables other teams to create features and products on top of it. We view our role as force multipliers enabling products to be built faster and safer. You’ll help solve challenges like:
- Scalability – Ingesting and processing all of Metronome’s event and usage data, transferring terabytes per day to customers with strict SLAs, and building infrastructure that scales with our growth.
- Reliability & Data Integrity – Powering financial workflows where accuracy is non-negotiable—this data is used for books close, reconciliation, and compliance.
- Performance & Latency – In usage-based businesses, revenue is dynamic and deeply tied to usage data. The faster we can aggregate and expose this data, the faster our customers can act—whether that’s forecasting, preventing overages, or adjusting pricing.
- Partner with product engineering teams to enable and extend data-powered product features like: In-app analytics dashboards, Machine learning models to forecast revenue and recommend pricing and Custom reporting and usage breakdowns for end-customer finance teams
What You'll Do
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- Build batch and streaming pipelines capable of processing hundreds of thousands of events per second and generating millions of downstream records within a single job.
- Build out capabilities and golden paths for other engineers to build features on top of our large data warehouse in a self-service manner.
- Define and build the tools, systems and interfaces required for internal non-technical users to make business decisions on top of Metronome’s data (finance, product, go to market).
- Influence the overall architecture of Metronome. Drive the technical direction around usage of batch, streaming and real time compute primitives. Shape how key technologies like Spark, Clickhouse, Dagster fit into our company-level strategy.
Qualifications
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- 5+ years of experience designing and building scalable infrastructure systems—whether distributed services, internal platforms, or foundational tooling.
- Hands-on experience scaling distributed systems, with a deep understanding of performance, reliability, and fault tolerance—either as a senior individual contributor or technical lead.
- Ownership of mission-critical production systems, with a strong focus on reliability, scalability, observability, and incident response.
- Strong cross-functional collaboration skills, with a track record of driving solutions across engineering, product, and infrastructure teams.
- Proven success delivering high-impact projects in fast-paced, high-growth environments—navigating ambiguity, managing scope, and consistently landing quality outcomes.
- Experience mentoring engineers across experience levels, fostering growth through code reviews, design discussions, and technical leadership.
- Clear and thoughtful technical communication, whether writing design docs, participating in architecture reviews, or sharing context with non-engineering stakeholders.
We don't filter based on current expertise, so at Metronome you will learn:
- AWS (S3, RDS, API Gateway, ECS, Fargate, Lambda, MKS, and more!)
- Infrastructure as Code (Terraform, Serverless Framework)
- Languages (Python, Typescript, Java - for working with Kafka)
- CI/CD (AWS CodePipeline & CodeDeploy, CircleCI)
Compensation
The estimated base salary range for this role is $171,200 - $214,000. In addition to your base salary, Metronome offers a competitive total rewards package, including but not limited to, market-benched equity, sales incentive pay (for eligible roles), comprehensive health benefits, and other benefits listed below.
The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time.
We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk!
About the Role
Core Areas of Ownership
As an engineer on the Data Platform team, you'll ingest and process all of Metronome’s data and build a self-serve platform that enables other teams to create features and products on top of it. We view our role as force multipliers enabling products to be built faster and safer. You’ll help solve challenges like:
- Scalability – Ingesting and processing all of Metronome’s event and usage data, transferring terabytes per day to customers with strict SLAs, and building infrastructure that scales with our growth.
- Reliability & Data Integrity – Powering financial workflows where accuracy is non-negotiable—this data is used for books close, reconciliation, and compliance.
- Performance & Latency – In usage-based businesses, revenue is dynamic and deeply tied to usage data. The faster we can aggregate and expose this data, the faster our customers can act—whether that’s forecasting, preventing overages, or adjusting pricing.
- Partner with product engineering teams to enable and extend data-powered product features like: In-app analytics dashboards, Machine learning models to forecast revenue and recommend pricing and Custom reporting and usage breakdowns for end-customer finance teams
What You'll Do
- Build batch and streaming pipelines capable of processing hundreds of thousands of events per second and generating millions of downstream records within a single job.
- Build out capabilities and golden paths for other engineers to build features on top of our large data warehouse in a self-service manner.
- Define and build the tools, systems and interfaces required for internal non-technical users to make business decisions on top of Metronome’s data (finance, product, go to market).
- Influence the overall architecture of Metronome. Drive the technical direction around usage of batch, streaming and real time compute primitives. Shape how key technologies like Spark, Clickhouse, Dagster fit into our company-level strategy.
Qualifications
- 5+ years of experience designing and building scalable infrastructure systems—whether distributed services, internal platforms, or foundational tooling.
- Hands-on experience scaling distributed systems, with a deep understanding of performance, reliability, and fault tolerance—either as a senior individual contributor or technical lead.
- Ownership of mission-critical production systems, with a strong focus on reliability, scalability, observability, and incident response.
- Strong cross-functional collaboration skills, with a track record of driving solutions across engineering, product, and infrastructure teams.
- Proven success delivering high-impact projects in fast-paced, high-growth environments—navigating ambiguity, managing scope, and consistently landing quality outcomes.
- Experience mentoring engineers across experience levels, fostering growth through code reviews, design discussions, and technical leadership.
- Clear and thoughtful technical communication, whether writing design docs, participating in architecture reviews, or sharing context with non-engineering stakeholders.
We don't filter based on current expertise, so at Metronome you will learn:
- AWS (S3, RDS, API Gateway, ECS, Fargate, Lambda, MKS, and more!)
- Infrastructure as Code (Terraform, Serverless Framework)
- Languages (Python, Typescript, Java - for working with Kafka)
- CI/CD (AWS CodePipeline & CodeDeploy, CircleCI)
Compensation
The estimated base salary range for this role is $171,200 - $214,000. In addition to your base salary, Metronome offers a competitive total rewards package, including but not limited to, market-benched equity, sales incentive pay (for eligible roles), comprehensive health benefits, and other benefits listed below.
The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time.
We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk!
