Expertise in Python and SQL is essential., Familiarity with functional programming paradigms and/or Scala is preferred., Deep understanding of cloud infrastructure for data processing, especially AWS., Experience with modern data warehouse technologies and ETL/ELT pipelines is required..
Key responsabilities:
Develop and maintain data platform services and integrations with new data sets.
Design robust data pipelines for ingesting and managing raw data in the data lake.
Collaborate with cross-functional teams to create data products that enhance company success.
Drive data literacy and best practices in security, data privacy, and governance across the organization.
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Lark was founded in 2011 on a mission to provide the highest standards of personalized and compassionate care to all in need. Our founder, Julia Hu, recognized early that live physician resources simply could not cover all of those in need of chronic condition prevention and management. To this end, Lark spent six years in AI and tech R&D developing a conversational AI coaching program for the nation’s most prevalent and expensive chronic conditions. Lark’s AI-driven Diabetes Prevention Program received full CDC recognition in 2018, and Lark deployed specialized programs for diabetes, hypertension, and general wellness soon after. COVID has only further highlighted the need for scalable, accessible, and consumer-centric solutions for chronic condition prevention and management. This more broadly recognized need has reinforced our ongoing efforts to reach more members, support partners’ digital-first strategies, and modernize healthcare operations -- all with the goal of delivering population-level outcomes and savings. As a testament to our scalability and market trust in our AI-driven model, we recently closed a $100 million Series D, our workforce has nearly doubled in the past year, and we are now contracted to manage over 30 million members.
At Lark Health, we’re leading the way into a new era of cardiometabolic care, leveraging advanced AI techniques–including deterministic and generative models–to provide scalable, affordable, and compassionate care. We help our healthcare partners manage over 30 million lives and prevent conditions like obesity, hypertension, type II diabetes, and behavioral health. Our platform delivers real-time personalized counseling and health monitoring for each patient. By providing compelling and actionable insights, we empower every user to live happier, healthier lives. Come join our team!
The Role
At the technical level, Data Engineers are skilled software engineers dealing with data at scale. In this role, you will be responsible for the data platform that powers internal and external data consumers. This includes enabling product reporting, invoicing, BI dashboards, and data services for our Data Science team. Data Engineering builds and maintains the foundational data infrastructure, ensuring reliable access to high-quality data that drives insights and decision-making across the organization..
If being part of a small dynamic, agile software engineering team practicing TDD with an emphasis on software quality, with a tremendous opportunity to make a big impact, this is the job for you! We are a collective of engineers dedicated to our craft, with a commitment to continuing education, peer mentorship, and collaboration. You will help drive and maintain a high-level of operational excellence in data engineering.
What You’ll Do
Develop data platform services, including integrations with new data sets
Design and build robust data pipelines to ingest and land raw data into the foundational layer of the data lake, ensuring a scalable, reliable, and accessible data ecosystem for downstream analytics and insights.
Reinforce and maintain the best practices in security, data privacy, quality, and data governance
Help lead and collaboratively define Lark's next-generation data platform
Help build online data validation to ensure the assumptions we’ve tested for in our code remain true
Collaborate with teams across the company to help develop data products that drive company success
Evaluate, integrate, and build tools and infrastructure to accelerate Data Engineering, Data Science, Business Intelligence, Reporting, and Analytics as needed
Drive data literacy across business functions
What You’ll Need
Know S.O.L.I.D. principles and practice them intuitively and appropriately
Have expertise in Python and SQL
Familiarity with functional programming paradigms and/or Scala
Fluency in data structures, algorithms, distributed computing, storage systems, and multiple consistency models
Deep expertise with cloud infrastructure for data processing, familiarity with AWS a plus (including EMR, DMS, RDS, Aurora, Lambda, etc.)
Expertise in modern data warehouse technologies, star/snowflake schema designs, ETL/ELT pipelines
Building production-grade data backup/restore strategies and disaster recovery solutions experience
Humility with an intrinsic positive drive
Value, respect, and an enthusiasm for diversity, inclusion, and alternative perspectives
Goal-oriented, with a desire to create an environment of psychological safety
Ability to thrive in an environment promoting and enabling collaboration
Bonus - openness to wearing an analytics engineering hat and doing some modeling with DBT
Experience with DBT is a plus, enabling efficient data transformation and modeling within our modern data stack
Working at Lark
Lark operates as a remote organization, requiring all employees to reside within the United States. The specific salary offered to a candidate will depend on various factors, including their location, job level, and verified job-related knowledge, skills, and experience. In addition to a comprehensive benefits package, candidates may be eligible for additional compensation, such as participation in a bonus program and stock awards, where applicable.
Lark is an Equal Opportunity and Affirmative Action Employer. We believe that diverse teams foster innovation and add to our mission-driven culture. We strongly encourage people from underrepresented groups to apply.
Compensation Range: $118.2K - $182.7K
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.