Sr. Data Engineer I

We are looking for a Data Engineer who could be a technical powerhouse when scaling data infrastructure, dashboards, tools, and reporting forecasts. 

As a Data Engineer, you will be working cross-functionally with business domain experts, analytics partners, and engineering teams to design and implement our Data Warehouse model. This is a great role for problem solvers, who can anticipate problems and can also look beyond immediate issues. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at 23andMe.

We look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative.  An ideal candidate brings curiosity, a passion for data, and a deep understanding of the technologies behind data pipelines, warehousing, big data and analytics.

 

Who We Are

Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding.

 

What You'll Do

We are looking for a Data Engineer with passion for data analytics and product. As a part of the team you will:

• 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.

 

What You'll Bring

• 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.

Note: Ability to work from 23andMe's office in Sunnyvale, CA a minimum of 3 days per week

 

Strongly Preferred

• Master's degree or equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Experience using analytics & reporting tools like Microstrategy,Tableau, Quicksight etc.
• Experience with Airflow and Kinesis is a plus.
• Advanced knowledge and experience building on AWS QuickSight.

 

About Us

23andMe, headquartered in Sunnyvale, CA, is a leading consumer genetics and research company. Founded in 2006, the company’s mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. The platform also powers the 23andMe Therapeutics group, currently pursuing drug discovery programs rooted in human genetics across a spectrum of diseases. More information is available at www.23andMe.com.

At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, relig