[Hiring] Senior Data Engineer @Carrot Fertility

Role Description

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.

Your work will span the full data lifecycle, including:

• Architecting resilient ETL/ELT pipelines
• Developing real-time and batch data integrations
• Automating reporting and reducing technical debt
• Enabling advanced analytics

Sr. Data Engineers at Carrot are operational stewards and technical mentors, driving improvements in system maturity, cost efficiency, automation, and collaborative practices.

You will join our Data Engineering team, which develops and optimizes scalable data pipelines and cloud infrastructure to enable secure, automated reporting and analytics across Carrot.

Qualifications

• 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

Requirements

• 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

• 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 and drive impact
• Competitive compensation, equity, and comprehensive benefits
• Flexible Time Off and a culture that actively encourages employees to recharge
• Comprehensive parental leave and family-forming benefits
• A collaborative, inclusive, and values-driven culture
• The opportunity to work alongside passionate, thoughtful teammates committed to improving healthcare outcomes worldwide

Interview Process

For this role, candidates can expect:

• 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

Throughout the process, we will share additional context about the team, business priorities, customer landscape, and what success looks like in this role.