Data Engineer Jobs

About Lyra Health

Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

Lyra Health seeks a Data Engineer in Burlingame, CA responsible for developing data infrastructure, pipelines, and data services in support of the ongoing development of our innovative digital care software platform.

Responsibilities

• Specific duties include: (i) developing core pieces of our data infrastructure, pipelines, and data services underlying our product, including: designing mental health-related data pipelines using Python software from third-party data sources, such as CDPs and external medical API data sources; developing mental health-related data models in the data warehouse for use by data consumers within the company; and conducting tests on data quality and the accuracy of data models in the data warehouse as well as building new data monitoring systems; (ii) building and leveraging data warehouses for all data use cases, including: providing technical expertise to Lyra Health’s product team with respect to data warehouse management and scaling and establishing data governance with respect to how data is leveraged for data analytics purposes, including with respect to domain knowledge in mental health-related data elements for our consumers; and (iii) defining technical requirements and solutions for data pipelines and data views in support of Lyra Health’s development of mental health machine learning product line, including meeting with stakeholders on a regular basis to define and finalize technical data scopes and requirements for data pipelines and models and maintaining an optimal data backlog with respect to product prioritization and consumer insight/expectations

Qualifications

• Must have a bachelor’s degree in Computer Science or a directly computer-related academic discipline plus one (1) year of experience in a data engineering position
• Must have knowledge (through any completed University-level coursework, seminars, workshops, or real-world, hands-on experience) of: (i) advance level Python; (ii) SQL coding; (iii) data visualization & validation; (iv) designing data pipelines using Python software from third-party data sources using technologies such as Airflow; and (v) defining technical requirements and solutions for data pipelines and data views

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability, genetic information or any other category protected by law.

The anticipated annual base salary range for this full-time position is $167,000 to $171,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may be eligible for discretionary bonuses.