Data Engineering Manager

Summary

Join Carrot Fertility as a Data Engineering Manager and lead our growing Business Intelligence team. You will mentor and manage a team of data engineers, overseeing the development and maintenance of our data infrastructure. This role requires strong technical skills in data engineering, cloud technologies, and database management, along with excellent communication and leadership abilities. You will be responsible for defining and driving the development of the BI department’s data engineering function, ensuring data reliability and accuracy for data-driven decision-making. The ideal candidate is a confident leader passionate about supporting career advancement and professional development for data engineers. Carrot offers a competitive compensation package and a holistic Total Rewards package.

Requirements

• Have a minimum of 5-7 years in data engineering or related field, with advanced knowledge in SQL (4+ years of practical application) and Python development, including unit and integration testing (4+ years of practical application)
• Possess strong proficiency in cloud-based data technologies (e.g., Snowflake, AWS), database relational modeling, version control systems (Git preferred), and modern data ingestion/transformation tools (e.g., Fivetran, dbt)
• Demonstrate the ability to build end-to-end ETL/ELT pipelines, orchestrate workflow (e.g., Prefect, Airflow), and automate tasks for efficiency
• Have excellent communication skills, capable of empathetic interactions and clear, concise dialogue with both technical and non-technical stakeholders
• Show proven experience in strategic planning, with a preference for skills in whiteboarding tools (Figma), presentations, and project management (JIRA)
• Demonstrate adaptability to change, resilience in ambiguous situations, and dependability in balancing various priorities alongside a strong, technical capability
• Be comfortable in providing constructive feedback to all levels of the organization with tact and a strong sense of empathy, including the ability to effectively gauge the mood of virtual meetings
• Be proficient in data governance and compliance protocols, with a thorough understanding of security best practices, including secure file transfer protocols (sFTP), to ensure data integrity and confidentiality
• Be skilled in developing and implementing data security policies and procedures, pairing with Information Security & Legal team partners, aligning with industry standards and regulations to safeguard information and comply with data protection laws

Responsibilities

• Manage and mentor team members with different skill sets, levels of expertise, and technical areas of focus
• Provide clear, concise, and consistent upward communication to both technical and non-technical stakeholders
• Oversee the design and execution of Business Intelligence data infrastructure, including but not limited to identifying opportunities for data acquisition, and exploring ways to enhance data quality and reliability
• Lead day-to-day operations of the team and the regular delivery of data engineering initiatives and projects
• Continuously seek improved efficiencies, including potentially challenging existing processes and having difficult conversations to drive the team forward
• Lead strategic conversations with BI, engineering, and product leadership in order to gather, interpret, and document business requirements and translate them into engineering roadmap items
• Create detailed documents using Atlassian tools to describe the solution and build architecture diagrams that adhere to standards to socialize the solution to leadership
• Oversee and contribute to the development of software systems that enable advanced data analytics capabilities, for example, complex data visualization and advanced algorithms
• Facilitate team partnership with backend product engineers to optimize production database schemas with data use cases in mind
• Facilitate inter-departmental partnerships with stakeholder teams to improve their data infrastructure through automation support, data education, and strategic support
• Facilitate cross-team communication to minimize redundancies and keep teammates moving in step
• Mentor and develop junior teammates through pairing, architecture discussions, PR reviews, and big-picture/strategic support

Preferred Qualifications

• Have direct experience with existing tech stack including but not limited to Snowflake, Fivetran, dbt, Prefect, AWS etc
• Have direct experience with best-in-class and enterprise business intelligence platforms
• Have experience with event streaming; be knowledgeable on integrating batch and real-time data ingestion processes
• Have experience with Engineering People Management
• Have previous experience with a startup or similar fast-paced growth environment
• Have healthcare industry working experience with an understanding of healthcare data standards (HL7, FHIR, etc.), privacy laws and data regulations (HIPAA, GDPR, etc.), and healthcare data exchange (HIEs, EDI, etc.)

Benefits

• Health and wellness benefits
• Retirement savings plans
• Short- and long-term incentives
• Parental leave
• Family-forming assistance
• Competitive compensation package
• Starting base salary ranging from $160,000.00 - $170,000.00