Senior Software Engineer, Data

About Lark

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

Lark is seeking a talented Senior Software Engineer with a Data Engineering focus to play a critical role in providing and optimizing the data that marketing relies on to drive new enrollments. As a Senior Software Engineer, you will act as a technical lead and subject matter expert in the data realm on a cross functional team of Frontend Engineers, Backend Engineers, Marketing Analysts, and Product Managers, with the shared goal of optimizing the end-to-end user enrollment funnel.

In this role, you will be responsible for creating and maintaining pipelines to serve marketing and product data at scale. The data will be used to enhance our marketing capabilities and should be provided for downstream teams in a standardized way. You will also work closely with other Data Engineers and Analytics Engineers in the organization as part of a Data Guild to standardize architecture, solidify best practices, and collaborate to deliver our data products flexibly to meet the diverse needs of our external clients and internal stakeholders.

If being part of a small dynamic, agile software engineering team with a tremendous opportunity to make a big impact, this is the job for you! Our team has a commitment to continuing education, peer mentorship, and collaboration. You will help drive and maintain a high-level of operational excellence on the team.

What You’ll Do

• Drive data solutions that directly enhance our ability to optimize the user enrollment funnel, enabling impactful marketing campaigns and personalized user experiences.

• Work with the full cross-functional team to brainstorm and execute on funnel optimization experiments, particularly around data usage and availability.

• Partner with a diverse group of stakeholders to bridge the gap between marketing requirements and data implementation.

• Lead efforts in data definition and standardization within the team.

• Develop and maintain pipelines to integrate data from application databases, cloud data warehouses, and marketing platforms, ensuring seamless and reliable data flow.

• Build ETL/ELT pipelines to transform and load data into structured and consumer zones of the data lake and serving tiers.

• Create and enhance data validation tools to ensure stakeholders receive accurate data and that tested assumptions in the code remain valid.

• Collaborate with the organization-wide Data Guild to uphold best practices in security, data privacy, quality, and governance.

• Make critical data architecture decisions that align with current business needs and position us for future growth, in collaboration with the Data Guild.

• Foster a culture of engineering excellence with a focus on observability, documentation, and risk management.

What You’ll Need

• Expertise in languages and frameworks such as Scala or Python with a focus on adaptability to new tools as required.

• Proficiency in designing and implementing data pipelines for batch and streaming data processing, leveraging tools like Spark, Flink, Kafka, or equivalent frameworks.

• Fluency in data structures, algorithms, distributed computing, and storage systems, with an understanding of multiple consistency models.

• Expertise in data modeling for application databases and data warehouse architecture, including star/snowflake schema designs and data-mart development.

• Experience building and maintaining ETL/ELT pipelines and data workflows.

• Strong SQL skills for querying and manipulating large datasets.

• A track record of designing robust data backup, restore strategies, and disaster recovery solutions.

• Previous experience in a senior or lead-level software engineering role with an emphasis on data engineering.

• Value, respect, and an enthusiasm for diversity, inclusion, and alternative perspectives

• A goal-oriented mindset, with the ability to work effectively in a team promoting psychological safety.

• Ability to thrive in an environment promoting and enabling collaboration

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.

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