Data Engineer

San Francisco
Full Time
About Cleo:
Cleo is bringing technology to market that supports considering, expecting and existing parents at scale! Our mission is to be the trusted partner as employees navigate critical health and wellbeing moments throughout their lives, making it possible for them to succeed at home and at work.

Title: Data Engineer

What you'll do day to day:

    • Develop and share insights around the key metrics that drive the company
    • Assemble large, complex data sets that meet functional / non-functional business requirements
    • Identify, design, and implement internal process improvements: automating manual 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 and AWS ‘big data’ technologies
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

What we are looking for:

    • 5+ years of relevant experience
    • Advanced working PostgresSQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases
    • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
    • Strong analytic skills related to working with unstructured datasets
    • Build processes supporting data transformation, data structures, metadata, dependency and workload management
    • A successful history of manipulating, processing and extracting value from large disconnected datasets
    • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
    • Strong project management and organizational skills