Sr. Data Engineer
Carrot Fertility
Skill Required
Key highlights
- Senior Data Engineer role leading the evolution of Carrot's global data infrastructure for analytics, reporting, and business intelligence
- Required qualifications include expert proficiency in Snowflake, dbt, Python, advanced SQL, and orchestration tools (Prefect/Airflow)
- Starting base salary range is $145,000–$165,000
- Total rewards package includes competitive equity, comprehensive health benefits, retirement savings plans, and short- and long-term incentives
- Key benefits include flexible time off, comprehensive parental leave, and family-forming benefits
- Carrot is a leading global fertility and family care platform serving millions across 195 countries, recognized with awards including Fast Company's Most Innovative Companies and CNBC's 100 Barrier Breaking Startups
Role overview
Carrot is the leading global fertility and family care platform, trusted by more than a thousand multinational employers, health plans, and health systems to support millions of members across 195 countries from pre-pregnancy through menopause. The company is seeking a Senior Data Engineer to lead the evolution, reliability, and scalability of its modern data infrastructure across analytics, reporting, and business intelligence. Reliable data is the foundation of Carrot's operations, guiding business decisions and powering reporting for customers and partners; the systems this role owns determine the accuracy, recency, and security of data used across the entire company. As Carrot scales globally, the Sr. Data Engineer will make the data platform more automated, resilient, and cost-efficient, enabling cross-functional teams to move faster with trusted data to support the company's mission of expanding access to fertility and family-building care worldwide. In this role, you will architect, build, and maintain robust automated data pipelines, orchestrate workflows, integrate diverse data sources, and partner with cross-functional teams including Business Intelligence, Product, Finance, Legal, and Commercial to deliver secure, compliant, high-quality data solutions. You will join Carrot’s Data Engineering team, which develops and optimizes scalable data pipelines and cloud infrastructure to enable secure, automated reporting and analytics across the organization.
Responsibilities
- 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, integrating new sources and tuning for performance and cost
- 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, with a focus on reliability and compliance
- Automate manual reporting and operational tasks, building robust, reusable pipeline components that reduce operational overhead
- Partner with backend product engineers to optimize production database schemas with analytics use cases in mind
- Strengthen data quality, lineage, governance, and documentation practices across key data domains
- Mentor teammates and reinforce best practices in version control, code review, and structured workflow management
- Take end-to-end ownership of core pipelines and integrations, with measurable improvements in reliability, data recency, and cost efficiency within the first 12–18 months
- Automate high-effort manual workflows, reducing operational risk and freeing capacity for higher-value engineering work within the first 12–18 months
- Deliver secure, compliant data integrations that stakeholders across the business trust for decision-making within the first 12–18 months
- Strengthen observability across the platform, including monitoring, alerting, and incident response for critical data workflows within the first 12–18 months
- Establish yourself as a technical mentor and a go-to partner for Business Intelligence, Product, and cross-functional teams within the first 12–18 months
Requirements
- Expert-level proficiency in Snowflake, dbt, and Python for data modeling, transformation, pipeline development, and advanced analytics
- Advanced SQL skills for complex querying, large-scale data model design, and database optimization
- Proven experience architecting, building, testing, deploying, and maintaining scalable, automated ETL/ELT pipelines using modern orchestration tools such as Prefect and Airflow
- Hands-on administration of cloud-based data warehouse and lake platforms, including Snowflake, AWS (S3, Redshift), and Google Cloud
- A strong understanding of secure external data flows through SFTP, Files.com, and APIs, with a focus on reliability and compliance
- Mastery of version control (Git, GitHub) and structured workflow management (Jira) for code review, audit trails, and operational transparency
- A demonstrated ability to automate and simplify complex manual tasks, building robust, reusable pipeline components
- Dependability, adaptability, and a collaborative approach to engineering, thriving in dynamic and ambiguous environments
Nice to have
- Hands-on experience in startup or rapid-growth environments, delivering technical solutions under shifting priorities
- A background supporting business intelligence, analytics, and data science teams through large-scale integrations and multi-tenant reporting
- Familiarity with both batch and event-driven ingestion paradigms, including near-real-time pipelines built on Snowflake, dbt, and Python
- Experience automating operational, financial, or compliance-driven workflows within cloud data environments
- Exposure to audit, privacy, and compliance frameworks such as SOC 2, HIPAA, GDPR, ISO, and SOX, particularly in data governance and secure access controls
- Experience in regulated industries such as healthcare, healthtech, or SaaS
Benefits
- Competitive equity as part of the holistic Total Rewards package
- Comprehensive health and wellness benefits, retirement savings plans, short- and long-term incentives
- Flexible Time Off with a culture that actively encourages employees to recharge
- Comprehensive parental leave and family-forming benefits
- High-growth environment where leaders are empowered to shape strategy and drive impact
- Collaborative, inclusive, and values-driven culture
- Opportunity to work alongside passionate, thoughtful teammates committed to improving healthcare outcomes worldwide
Additional details
- 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'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health.
- Carrot has received national and international recognition for its pioneering work, including Fast Company's Most Innovative Companies and World Changing Ideas, Inc. Power Partners, and Modern Healthcare’s Innovators. Carrot’s global workforce has been acknowledged with several accolades, including Fortune’s Best Workplaces in Healthcare, Great Place to Work, and Age-Friendly Employer certifications. Carrot is regularly featured in media reporting on issues related to the future of work, women in leadership, and healthcare innovation, including MSNBC, The Economist, Bloomberg, The Wall Street Journal, CNBC, National Public Radio, Harvard Business Review, and more.
- The interview process for this role includes: a 30-minute Recruiter Screen, a 30–45 minute Hiring Manager Interview, 45-minute Cross-Functional Panel Interviews, a 30-minute Executive Leadership Conversation, and a 15-minute Hiring Manager Wrap-Up. Throughout the process, additional context about the team, business priorities, customer landscape, and what success looks like in the role will be shared with candidates.
- All communication regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address. Candidates who receive messages from any other domain should disregard them and report the incident.
- At Carrot, AI is viewed as a tool to help work smarter, move faster, and create more meaningful experiences for members, customers, and each other. While not every role requires deep technical AI expertise, the company values people who are curious, eager to learn, and excited to thoughtfully incorporate AI into their day-to-day work, using AI responsibly to improve quality and efficiency as the technology evolves. Deep technical AI expertise is only a core requirement for roles where it is explicitly called out in qualifications.
- This role was originally posted on Himalayas.