Metronome is building a new real-time source of truth for business data, starting with powering the software industry's transition to usage-based business models.
Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Cockroach Labs and mParticle.
You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $35m from leading investors including Andreessen Horowitz, General Catalyst, and Elad Gil. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, Snowflake, and Databricks as investors who have experienced the pain we're solving firsthand.
About the Role
At the core of it, Metronome is building a high-volume data collection and processing system to support usage-based billing functionality. We ingest billions of events that represent our customers' product usage data (also known as metering data) to then calculate revenue on a monthly basis. A key part of our product strategy is to make Metronome a connected system that streams out data to our users' ecosystem, including data warehouses, business systems, and BI tools.
As the first Data Engineer, you will be responsible for maturing and scaling our architecture, creating a data warehouse and data lake strategy, and laying the foundations for new product offerings based on machine learning and data exploration capabilities. You will manage our Kafka, S3, and Postgres-based data infrastructure that powers several of our critical product functionalities.
This role offers high visibility and impact, as you will enable our users to solve billing challenges using critical product usage and revenue data.
3+ years of relevant work experience
Experience working in real-time systems like Kinesis, Kafka, Spark, and batch data pipelines in Redshift, Presto, and data lakes
Experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments
Experience coding in one of these languages: Java, Python or Typescript
You are a champion for data privacy and integrity, and always act in the best interest of our customers.
Examples of Tasks You Might Work On
Build pipelines that can stream revenue data from Kafka and Postgres to internal data lake and data warehouse systems
Scaling our architecture for 10x data volume growth; creating a data warehouse and a data lake strategy
Create ETL pipelines to export billing and usage data that allow for customers to analyze and track revenue
Work with design and product to scope and invent new customer features powered by data pipelines
Impact You'll Have
Customer data is safer because you have built secure, resilient, and high-uptime services
The Metronome team is more well-rounded because you bring your unique personality to work and help create an inclusive fun environment focused on helping our customers get the most value out of Metronome.
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 & Benefits
Excellent medical, dental, vision, and life insurance coverage, including a One Medical membership
FSA (Flexible spending account)
Flexible time off
Employee assistance program (mental health benefits)
Culture where personal growth is highly valued
Metronome offers salaries that are highly competitive with other early stage Bay Area startups and significant equity compensation (we want you to feel like an owner). More importantly, we’re committed to equitable compensation practices across the board. If you’d like to learn more about our philosophy or about why we’re all billing nerds, shoot us a message. We’d love to talk!
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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