Carrot: Sr. Data Engineer

Headquarters: Remote
Source: weworkremotely

About Carrot

Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between.

Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. Learn more at get-carrot.com.

The Opportunity

Carrot is seeking a Sr. Data Engineer to lead the evolution, reliability, and scalability of our modern data infrastructure across analytics, reporting, and business intelligence. In this role, you will architect, build, and maintain robust, automated data pipelines, orchestrate workflows, integrate diverse data sources, and partner with stakeholders across the business to deliver secure, compliant, high-quality data solutions.

What You’ll Own

Architect, build, test, deploy, and maintain scalable, automated ETL/ELT pipelines using Python, dbt, and orchestration tools such as Prefect and Airflow.
Administer and optimize cloud-based data warehouse and lake platforms, including Snowflake, AWS (S3, Redshift), and Google Cloud.
Orchestrate data workflows with custom scheduling, alerting, dependency management, monitoring, and error resolution.
Design and maintain secure external data flows through SFTP, Files.com, and APIs.
Automate manual reporting and operational tasks, building robust, reusable pipeline components.
Partner with backend product engineers to optimize production database schemas with analytics use cases in mind.
Strengthen data quality, lineage, governance, and documentation practices.
Mentor teammates and reinforce best practices in version control, code review, and structured workflow management.

What Success Looks Like

In your first 12–18 months, you will have:

Taken end-to-end ownership of core pipelines and integrations, with measurable improvements in reliability, data recency, and cost efficiency.
Automated high-effort manual workflows, reducing operational risk.
Delivered secure, compliant data integrations that stakeholders trust for decision-making.
Strengthened observability across the platform, including monitoring, alerting, and incident response.
Established yourself as a technical mentor and a go-to partner for Business Intelligence, Product, and cross-functional teams.

About You

Expert-level proficiency in Snowflake, dbt, and Python for data modeling, transformation, and pipeline development.
Advanced SQL skills for complex querying, large-scale data model design, and database optimization.
Proven experience architecting and maintaining scalable, automated ETL/ELT pipelines using tools like Prefect and Airflow.
Hands-on administration of cloud-based data warehouse and lake platforms (Snowflake, AWS, Google Cloud).
Strong understanding of secure external data flows (SFTP, Files.com, APIs).
Mastery of version control (Git, GitHub) and structured workflow management (Jira).
Demonstrated ability to automate and simplify complex manual tasks.
Dependability, adaptability, and a collaborative approach to engineering.

Nice to Have ⭐

Hands-on experience in startup or rapid-growth environments.
Background supporting business intelligence, analytics, and data science teams.
Familiarity with both batch and event-driven ingestion paradigms.
Experience automating operational, financial, or compliance-driven workflows.
Exposure to audit, privacy, and compliance frameworks (SOC 2, HIPAA, GDPR, ISO, SOX).
Experience in regulated industries such as healthcare, healthtech, or SaaS.

Why This Role Matters

Reliable data is the foundation of how Carrot operates. As Carrot scales globally, the Sr. Data Engineer will make our data platform more automated, resilient, and cost-efficient, enabling teams across the business to move faster with data they trust.

Interview Process

Recruiter Screen (30 minutes)
Hiring Manager Interview (30–45 minutes)
Cross-Functional Panel Interviews (45 minutes)
Executive Leadership Conversation (30 minutes)
Hiring Manager Wrap-Up (15 minutes)

Why Candidates Join Carrot

A mission-driven company focused on expanding access to fertility and family-forming care globally.
A high-growth environment where leaders are empowered to shape strategy.
Competitive compensation, equity, and comprehensive benefits.
Flexible Time Off and a culture that encourages employees to recharge.
Comprehensive parental leave and family-forming benefits.
A collaborative, inclusive, and values-driven culture.

Compensation

The starting base salary for this position will range from $145,000–$165,000. Actual compensation may vary based on confirmed job-related skills and experience.

Additional Information

Fraud and Security Notice: All communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address.
A Note on AI: We value people who are curious, eager to learn, and excited to thoughtfully incorporate AI into their day-to-day work.

To apply: Click here to apply via We Work Remotely

Sr. Data Engineer at Carrot