Sr. Data Engineer I
Confirmed live in the last 24 hours
23andMe

501-1,000 employees

Personal genomics & biotechnology company
Company Overview
23andMe’s mission is to help people access, understand, and benefit from the human genome. The company has created the world’s largest crowdsourced platform for genetic research and is the only company with multiple FDA authorizations for genetic health risk reports. The company is also in development of discovery programs rooted in a diverse spectrum of human genetics to ultimately deliver reports and results from all spectrums of your DNA.
Biotechnology

Company Stage

N/A

Total Funding

$1.2B

Founded

2006

Headquarters

Sunnyvale, California

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-5%

2 year growth

16%
Locations
Sunnyvale, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Python
Airflow
Apache Spark
SQL
Apache Kafka
Java
Tableau
AWS
Data Analysis
CategoriesNew
Data Engineering
Data Management
Data & Analytics
Requirements
  • Bachelor's Degree in a quantitative discipline: computer science, statistics, operations research, informatics, engineering, applied mathematics, economics, etc.
  • 5+ years of relevant work experience in analytics, data engineering, business intelligence, research or related fields.
  • Experience with SQL/Relational databases
  • Experience with Amazon Web Services: Redshift, S3, Glue,EMR, or Athena
  • Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.
  • Experience in at least one programming languages (e.g. Python, Java,)
  • Strong experience with data scheduling tools like Stonebranch(Opswise) or Airflow.
  • Experience with data visualization using Microstrategy,Tableau, Quicksight, or similar tools.
  • Ability to work from 23andMe's office in Sunnyvale, CA a minimum of 3 days per week
Responsibilities
  • Acquire deep business understanding on several domains and build scalable and optimized data solutions that impact many stakeholders.
  • Be an advocate for data quality and excellence of our platform.
  • Build close relationships with our partners to understand the value our platform can bring and how we can make it better.
  • Build tools that help streamline the management and operation of our data ecosystem.
  • Ensure best practices and standards in our data ecosystem are shared across teams.
  • Improve data discovery by creating data exploration processes and promoting adoption of data sources across the company.
  • Has a desire to write tools and applications to automate work rather than do everything by hand.
  • Comfortable with weekly on-call rotation
  • Passionate about CI/CD process.
  • Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance.