Data Engineer

Midjourney • Full-time • San Francisco Bay Area, US • 1d ago

Midjourney is a research lab exploring new mediums to expand the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. We have no investors, no big company controlling us, and no advertisers. We are 100% supported by our amazing community.

Our tools are already used by millions of people to dream, to explore, and to create. But this is just the start. We think the story of the 2020s is about building the tools that will remake the world for the next century. We're making those tools, to expand what it means to be human.

Core Responsibilities:

Design and maintain data pipelines to consolidate information across multiple sources (subscription platforms, payment systems, infrastructure and usage monitoring, and financial systems) into a unified analytics environment
Build and manage interactive dashboards and self-service BI tools that enable leadership to track key business metrics including revenue performance, infrastructure costs, customer retention, and operational efficiency
Serve as technical owner of our financial planning platform (Pigment or similar), leading implementation and build-out of models, data connections, and workflows in partnership with Finance leadership to translate business requirements into functional system architecture
Develop automated data quality checks and cleaning processes to ensure accuracy and consistency across financial and operational datasets
Partner with Finance, Product and Operations teams to translate business questions into analytical frameworks, including cohort analysis, cost modeling, and performance trending
Create and maintain documentation for data models, ETL processes, dashboard logic, and system workflows to ensure knowledge continuity
Support strategic planning initiatives by building financial models, scenario analyses, and data-driven recommendations for resource allocation and growth investments

Required Qualifications:

3-5+ years experience in data engineering, analytics engineering, or similar role with demonstrated ability to work with large-scale datasets
Strong SQL skills and experience with modern data warehousing solutions (BigQuery, Snowflake, Redshift, etc.)
Proficiency in at least one programming language (Python, R) for data manipulation and analysis
Experience with BI/visualization tools (Looker, Tableau, Power BI, or similar)
Hands-on experience administering enterprise financial systems (NetSuite, SAP, Oracle, or similar ERP platforms)
Experience working with Stripe Billing or similar subscription management platforms, including data extraction and revenue reporting
Ability to communicate technical concepts clearly to non-technical stakeholders