Data Solutions Engineer

| San Francisco
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At Sisu, we're building a software platform that empowers people to make better decisions using data. Based on years of cutting-edge data systems research at Stanford, the platform provides actionable insights to businesses from their data. Sisu integrates with modern data warehouses, which provide a streaming, structured view of key business metrics and their relationships with first-party organizational data. We draw on novel techniques from data mining, statistical analysis, and machine learning to produce these insights and deliver them through an elegant, modern web interface.

Sisu Data is seeking a Data Solutions Engineer as part of the dynamic and strategic go-to-market team to help customers tackle critical ETL and data pipelining problems. Externally, you'll get exposure to senior leadership at a variety of companies across a variety of industries, from retail to healthcare to energy, in helping guide their decision-making with data. On our dynamic, intellectually hungry, and delightfully quirky team, the number of opportunities is unbounded.

What you’ll accomplish:

  • Create, maintain, and optimize data pipeline architecture internally and on behalf of our clients.
  • Recommend and assemble large, complex data sets that meet business and technical requirements for extracting value out of Sisu.
  • Help pave strategic roadmaps for how Sisu should approach data engineering (such as data ingestion and ETL process) and how Sisu should navigate data solutions for customers to receive maximum value from Sisu
  • Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL on AWS (Redshift), Google Cloud Product (GCP), Snowflake, and Microsoft Azure.
  • Act as analytics liaison for a variety of accounts, interacting with C-level executives down to individual analysts, to bring value to a variety of industries and use cases.
  • Communicate feedback from customers’ data engineers to inform product strategy and feature work within the product and engineering teams.

What you'll need to be successful:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience developing and maintaining data infrastructure for the organization
  • Experience with object-oriented/object function scripting languages, Python in particular, with large datasets as a plus.
  • Experience building and optimizing, including ETL/ETL process and tools, for data pipelines, architectures and data sets.
  • Strong analytics skills to disentangle and find usefulness in unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • BA/BS or heavy coursework in quantitative field preferred.

This role is an excellent way for data engineers to get exposure to cutting edge technology and have customer-facing impact.

Sisu is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Location

575 Mission St., Suite 3200, San Francisco, CA 94105

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