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Senior Data Engineer
Remote
Confirmed live in the last 24 hours
Locations
Austin, TX, 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
  • Before extending offers, we conduct reference and background checks
  • Additional checks could be required for US Candidates, depending on the role you are exploring
  • The final step is an offer, which we hope you will accept!
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 mission
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.