Software Engineer, Data Infrastructure

datologyai-posted 9 months ago
$180,000 - $250,000/Yr
Full-time • Senior
Redwood City, CA
11-50 employees
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We're looking for an experienced Data Platform Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our core product and data platform. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. You will have a broad impact over the technology, product, and our company's culture. We provide visa sponsorship for candidates selected for this role.

  • Design, build and maintain highly scalable data processing solutions, while ensuring scalability, reliability, and security
  • Architect, build, and deploy the back-end systems and services that power our data curation platform
  • Partner with researchers and engineers to bring new features and research capabilities to our customers
  • Ensure that our systems are reliable, secure, and worthy of our customers' trust
  • Have meaningful experience with leading and building production data systems to deliver on major product initiatives.
  • You have built and managed highly scalable data processing solutions (e.g. Spark, Flink), data lakes or warehouses (e.g. Snowflake, Hive), authored queries (SQL), distributed storage systems (e.g., HDFS, S3), used workflow management (e.g. Airflow, Dagster), and have experience maintaining the infra that supports these.
  • Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
  • Expertise with any of ETL schedulers such as Airflow, Dagster, or similar frameworks.
  • Experience maintaining a high quality bar for design, correctness, and testing.
  • Take pride in building and operating scalable, reliable, secure systems.
  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
  • Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
  • You have experience being the technical lead of a Data Engineering / Platform / Infrastructure Team.
  • Experience building ML/DL systems and/or data infrastructure that feeds into training large ML models.
  • 100% covered health benefits (medical, vision, and dental).
  • 401(k) plan with a generous 4% company match.
  • Unlimited paid time off (PTO) policy.
  • Annual $2,000 wellness stipend.
  • Annual $1,000 learning and development stipend.
  • Daily lunches and snacks are provided in our office!
  • Relocation assistance for employees moving to the Bay Area.
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