Sr. Data Engineer

We’re Eargo and we’re on a mission to disrupt and transform the hearing health industry. We’re looking for those passionate individuals who jump out of bed in the morning dreaming of new ways to improve the lives of our customers. We’re tech geeks and dreamers. We believe that every voice is unique and every idea is worth talking about. Moreover, we believe in passion and having fun. Because it takes passion to change the world and if you have passion in what you’re doing, you naturally have fun doing it.
Over 44 million Americans currently experience hearing loss and 73% of them do nothing about it. Their denial has many different shades, but more often than not it’s related to social stigma. We at Eargo exist to give people their hearing without the social stigma so that they can go on being the cool person they are. That’s why we get out of bed in the morning and we take that seriously. And we’re looking for some great minds to join us on our journey.
We are looking for a Senior Data Engineer to join our growing team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

• Create and maintain optimal data pipeline architecture.Assemble 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 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 and the Product, Data, and Design 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 AWS regions.
• Create data 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.

Qualifications:

• 5+ years of experience in a Data Engineer role
• BS degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) 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.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with relational SQL and NoSQL databases, including Postgres, MySQL, and DynamoDB.
• Experience with data pipeline and workflow management tools.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with object-oriented/object function scripting languages.

Eargo is an Equal Opportunity Employer committed to hiring a diverse workforce. All employment is decided upon the basis of qualification, merit and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. We offer a competitive compensation and benefits package including stock options.