Data Engineer

Scale AI in San Francisco, CA

  • Industry: Information Technology - Data Architect/Analyst/Administrator
  • Type: Full Time
  • Compensation: $95,630.00 - 149,340.00 / Year*
As Scale s first Analytics Engineer, you will spearhead building Scale s analytical and business-intelligence infrastructure. Scale s customers process millions of tasks through our APIs, and we re looking for a talented Analytics Engineer to build scalable solutions to support this growth. You will have widespread purview, with a responsibility for understanding, mining, aggregating, and exposing data across the entire business to support timely and efficient decision-making and data exploration. You will also implement Scale s data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.

You will:

  • Work with analytics, infrastructure, finance, and other business partners to drive the development of reporting and analytics platform
  • Establish business intelligence best practices, and build pipelines that provide single-source-of-truth foundational accuracy
  • Partner with operations and sales teams to automate manual workflows
  • Continually improve ongoing data pipelines and simplify self-service support for business stakeholders
  • Perform regular system audits to ensure complete and accurate reporting of data/metrics
  • Design and build visualization dashboards to accelerate information-to-action at scale

Ideally you'd have:

  • 4+ years of relevant work experience in a role requiring application of data modeling and analytic skills
  • A clear passion for learning new BI skills and techniques independently and continuously
  • Experience with ETL tools and building / maintaining a data warehouse
  • Experience in designing and building data infrastructure/automated reporting tools (Tableau)
  • Ability to create extensible and scalable data schema that lay the foundation for downstream analysis
  • Advanced data analysis knowledge and experience, with strong SQL, and data mining skills

Nice to haves:

  • Masters in Computer Science, Mathematics, Statistics, Finance, or related discipline
  • Advanced knowledge and hands-on experience leveraging Python, and/or R to perform in-depth data analysis
About Us:
At Scale, our mission is to accelerate the development of Machine Learning and AI applications across multiple markets. Our first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Our customers include OpenAI, Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more

Scale is an equal opportunity employer. We aim for every person at Scale to feel like they matter, belong, and can be their authentic selves so they can do their best work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Associated topics: data center, data manager, data management, data quality, data warehouse, database administrator, erp, mongo database administrator, sql, teradata

* Estimated salary


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