Remote opportunity at
CarrotSr. Manager, Data Engineering
Carrot is seeking a Sr. Manager, Data Engineering to guide its Business Intelligence data engineering division. In this player-coach position, you will balance strategic leadership with…
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About This Role
Carrot is seeking a Sr. Manager, Data Engineering to guide its Business Intelligence data engineering division. In this player-coach position, you will balance strategic leadership with hands-on technical execution, building scalable data infrastructure and mentoring a growing engineering team. Carrot operates a global fertility and family care platform built on intelligent care orchestration, supporting millions of members across 195 countries in partnership with multinational employers, health plans, and health systems.…
Job Description
Carrot is seeking a Sr. Manager, Data Engineering to guide its Business Intelligence data engineering division. In this player-coach position, you will balance strategic leadership with hands-on technical execution, building scalable data infrastructure and mentoring a growing engineering team. Carrot operates a global fertility and family care platform built on intelligent care orchestration, supporting millions of members across 195 countries in partnership with multinational employers, health plans, and health systems.
This role suits an experienced data engineering leader who is comfortable operating across multiple organizational levels, from defining multi-year architectural strategies to writing production-grade code. You will collaborate closely with cross-functional partners across Product, Engineering, Analytics, Operations, Go-To-Market, Security, and Legal to align data systems with overarching business objectives and regulated healthcare requirements.
Responsibilities
- Define the technical vision and roadmap for BI data engineering in alignment with organizational goals and analytics demands
- Design, construct, review, and maintain production-grade ETL and ELT pipelines using Python and SQL
- Architect and optimize data warehouse models that power advanced analytics, operational reporting, and self-service BI
- Set and enforce engineering standards for testing, observability, reliability, and system performance
- Improve data governance, quality, lineage, metadata practices, and documentation
- Collaborate with backend product teams to design event models and database schemas with reporting in mind
- Lead, mentor, and foster professional growth within a team of data engineers
- Handle capacity planning, sprint prioritization, and delivery tracking across concurrent workstreams
- Evaluate vendor tools, build-versus-buy decisions, and platform adoptions across transformation, ingestion, and data systems
Requirements
- 8 to 10 plus years of professional experience in data engineering or a related domain
- 3 to 5 plus years of experience managing and leading software or data engineers
- 5 plus years of advanced SQL experience and 5 plus years of production Python development including unit and integration testing
- Hands-on expertise in designing, building, and maintaining end-to-end production ETL and ELT pipelines
- Working knowledge of cloud-based data warehouses like Snowflake and AWS, alongside modern tools such as Fivetran, dbt, Prefect, and Airflow
- Solid understanding of relational modeling, data warehouse design principles, version control, and CI/CD practices
- Strong verbal and written communication skills paired with knowledge of security protocols and data governance
Qualifications
- Direct familiarity with Carrot's current technology stack including Snowflake, Fivetran, dbt, Prefect, and AWS
- Background in enterprise BI platforms and enabling self-service analytics capabilities
- Experience integrating real-time ingestion systems or combined batch and event-streaming architectures
- Prior leadership background within a high-growth startup environment, including management of senior individual contributors or other leads
- Healthcare sector experience, including familiarity with privacy regulations like HIPAA and GDPR alongside data standards such as HL7 and FHIR
Core Skills
Benefits
- Competitive compensation package including a starting base salary between $170,000 and $210,000
- Equity and short- or long-term incentives
- Comprehensive health and wellness benefits
- Retirement savings plans
- Flexible Time Off
- Comprehensive parental leave and family-forming assistance
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary range for the Sr. Manager, Data Engineering position?
The starting base salary ranges from $170,000 to $210,000 per year, with final compensation depending on relevant skills and experience.
What is the remote work policy for this role?
The job posting indicates that the position is remote.
What kind of experience is required for this position?
Candidates must have 8-10+ years of experience in data engineering or a related field, including 3-5+ years of leadership and management experience, plus 5+ years of production experience in both advanced SQL and Python.
How can I ensure my application communication is authentic?
All official communications regarding job opportunities at Carrot will come exclusively from an @get-carrot.com email address.
Sample Interview Questions
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