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Data Engineer
Remote
Updated on 9/26/2022
Locations
Los Angeles, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
BigQuery
Data Analysis
Data Science
Development Operations (DevOps)
Google Cloud Platform
Hadoop
Kafka
C/C++/C#
Git
Java
Management
Marketing
MongoDB
Postgres
Scala
SQL
Terraform
Python
NoSQL
Requirements
  • You should receive a confirmation email after submitting your application
  • A recruiter (not a computer) reviews all applications at League
  • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring
  • The final step is an offer, which we hope you will accept!
  • Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring
Responsibilities
  • Create and maintain optimal data pipeline architecture
  • 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 cloud-native and big data principles
  • Build the framework to enable 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 Product, Data and Marketing teams to assist with data-related technical issues and support their data infrastructure needs
  • Keep our data separated and secure across national boundaries through multiple data centers and regions
  • Create data processes and tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Work with data and analytics experts to strive for greater functionality in our data systems
Desired Qualifications
  • Advanced working 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 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
  • Experience with message queuing, stream processing, and highly scalable big data stores
  • Experience with end-to-end API design, implementation and sustainment
  • Strong analytic skills related to working with unstructured and structured datasets
  • Project management and organizational skills to self-scope and direct on a day-to-day basis
  • Experience supporting and working with cross-product/feature teams in a dynamic environment
  • The ideal candidate should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, Beam, etc
  • Experience with both relational SQL and NoSQL databases, including Postgres, MongoDB, etc
  • Experience with data pipeline and workflow management tools such as Apache Airflow, etc
  • Strong Experience with Code Management + DevOps: Github, Github Actions, Concourse CI, Terraform, Atlantis, etc
  • Experience with Google Cloud Platform (GCP) cloud services: BigQuery, DataFlow, PubSub, CloudSQL, Cloud Storage, Cloud Composer, VertexAI
  • Knowledge of the FHIR standard and/or healthcare data
  • Experience with object-oriented/object function scripting languages: Python, Go, Scala, Java, C++, etc
League

201-500 employees

Digital health platform
Company Overview
League is on a mission to power the digital transformation of healthcare. The company is building digital infrastructure for better consumer health experiences.
Benefits
  • Personalized benefits plan
  • Health, Lifestyle & Learning spending accounts
  • Flexible medical and dental plans
  • Fertility treatment support
  • Paid parental leave and baby bonus
  • Unlimited PTO
  • Free mental health counselling and support
  • Employee Stock Option Program
  • Exclusive access to a curated wellness marketplace
  • Sabbatical program
  • RRSP/401K accounts
  • High-impact onboarding
  • Extra-long holiday weekends
  • Mental health (wellness) days
Company Values
  • Creating a healthier future.
  • Building a dream team.
  • All owners.
  • Aspiring to live our best lives.
  • In it to win it.