Daten und Analytics
Sr. Manager, Data Engineering - Remote-Stelle
Carrot
Der Link führt zur ursprünglichen Anzeige. Donator nimmt keine Bewerbungen entgegen.
Neue Stellen auf Telegram
Jede neue Remote-Stelle, sobald sie eintrifft.
@donator_jobs_de
Sr. Manager, Data Engineering - Daten und Analytics, remote
Carrot sucht Sr. Manager, Data Engineering: Führungsniveau, und damit Verantwortung für ein Team oder einen Bereich. Die Stelle liegt im Bereich Daten und Analytics und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.
Das Unternehmen hat keine Zahl veröffentlicht, das klärt sich im Gespräch. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.
Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.
Kurz gefasst
- Unternehmen
- Carrot
- Bereich
- Daten und Analytics
- Wer sich bewerben darf
- Aus jedem Land der Welt
- Arbeitsform
- Vollständig remote
- Ebene
- Führung
- Veröffentlicht
- 30. Oktober 2026 (vor 2 Tagen)
- Aktiv
- bis 9. Dezember 2026
- Quelle
- We Work Remotely
Neue Stellen im Bereich Daten und Analytics per E-Mail
Das Board wird mehrmals täglich aktualisiert. Wir schreiben nur, wenn eine neue, geprüfte Stelle erscheint. Kein Spam, kein Konto nötig.
Schon abonniert? Einstellungen verwalten
Beschreibung des Unternehmens
Headquarters: Remote
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's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide.
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. Learn more at get-carrot.com .
The Opportunity
Carrot is seeking a Sr. Manager, Data Engineering to lead our Business Intelligence data engineering function as it scales to meet, and anticipate, the needs of the organization and its clients. This is a senior player/coach role with a strong emphasis on strategic leadership, technical excellence, and organizational impact. You will lead and grow a high-impact team while remaining deeply hands-on in architecting and building Carrot's data infrastructure.
You will set technical vision, drive cross-functional data strategy, and ensure our data systems are reliable, scalable, secure, and aligned with business priorities. You will influence and execute on the long-term roadmap for Data Engineering within the Data Team, defining how we ingest, transform, govern, and expose data across the company, and partner closely with senior leaders across Product, Engineering, Operations, Analytics, and Go-To-Market functions.
Given the small-but-mighty nature of the team, this role requires someone who is comfortable operating at multiple altitudes: setting multi-year architectural direction, shaping team and org design, and still rolling up their sleeves to build production-grade pipelines when needed.
What You’ll Own
In this role, you will:
* Own the technical vision and roadmap for BI data engineering, aligning it with company strategy and analytics needs.
* Design, build, and review scalable ETL/ELT pipelines and workflow orchestration systems, contributing hands-on production code in Python and SQL .
* Architect and optimize data warehouse models that support advanced analytics, self-service BI, and operational reporting.
* Establish and enforce standards for reliability, observability, testing, and performance across all data systems.
* Drive improvements in data quality, lineage, and governance , including documentation and metadata practices.
* Partner with backend product engineering teams to co-design production database schemas and event models with analytics and reporting in mind.
* Lead, mentor, and develop a team of data engineers , fostering a culture of technical excellence, ownership, and collaboration.
* Own team-level planning and execution , including capacity planning, prioritization, and delivery across concurrent workstreams.
* Translate ambiguous business and analytics needs into a clear, prioritized engineering roadmap with measurable outcomes.
* Partner closely with Product, Engineering, Analytics, Security, and Legal to align on priorities, ensure compliance, and remove cross-functional blockers.
* Evaluate and influence build vs. buy decisions , vendor selection, and tool adoption across data platforms, ingestion, and transformation.
What Success Looks Like
In your first 12-18 months, you will have:
* Elevated the maturity and consistency of data engineering practices across the BI function, with clear standards for reliability, testing, and observability.
* Built and retained a high-performing data engineering team recognized as a trusted partner to stakeholders across the business.
* Delivered a prioritized data engineering roadmap aligned with company strategy, with measurable progress on scalability and platform modernization.
* Strengthened the accuracy, recency, and security of enterprise data, meeting the requirements of regulated healthcare contexts.
* Enabled advanced analytics, self-service BI, and data products that drive meaningful business outcomes and influence Carrot's long-term data architecture strategy.
About You
You likely have:
* 8-10+ years of experience in data engineering or a closely related field, including 3-5+ years leading and managing data or software engineers.
* 5+ years of advanced SQL and 5+ years of Python development experience in production environments, including unit and integration testing.
* Strong, hands-on experience designing, building, and maintaining end-to-end ETL/ELT pipelines in production.
* Proficiency with cloud-based data platforms (e.g., Snowflake, AWS) and modern ingestion, transformation, and orchestration tools (e.g., Fivetran, dbt, Prefect, Airflow).
* Strong understanding of relational modeling and warehouse design principles , plus version control (Git preferred) and modern CI/CD practices.
* Demonstrated ability to define technical strategy and standards while remaining capable of direct technical execution.
* Excellent written and verbal communication skills , with strong knowledge of data governance, security best practices, and compliance protocols.
Nice to Have ⭐
While not required, we would be especially excited if you bring:
* Direct experience with Carrot's current tech stack : Snowflake, Fivetran, dbt, Prefect, and AWS.
* Experience with enterprise BI platforms and enabling self-service analytics.
* Experience integrating batch and event-streaming or real-time ingestion systems .
* Prior experience leading data engineering teams in a startup or high-growth environment , ideally including managing other leads or senior-level ICs.
* Healthcare industry experience , including familiarity with healthcare data standards (HL7, FHIR) and privacy regulations (HIPAA, GDPR).
Why This Role Matters
The reliability, scalability, and usability of Carrot's data systems directly power decision-making across the organization and for our clients. Data Engineering plays a foundational role in enabling the broader Business Intelligence function, and this role serves as the senior-most manager directly responsible for that capability.
The Business Intelligence team at Carrot is highly cross-functional and central to the company's long-term success. Led by our Vice President of Data and Business Intelligence, the team includes data engineers, data scientists, and business intelligence analysts. In this role, you will build and nurture a high-performing team, ensure the accuracy and security of enterprise data in a regulated healthcare context, and influence the long-term data architecture and platform strategy at Carrot.
Interview Process
We believe in a thoughtful and transparent interview process designed to create alignment for both candidates and our team.
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.
Why Candidates Join Carrot
Carrot offers the opportunity to do meaningful work in service of a deeply human mission.
Highlights include:…
Der Text ist in der Originalsprache des Unternehmens erhalten, denn in derselben Sprache bewerben Sie sich auch.
Häufige Fragen zu dieser Stelle
Kann ich mich von dort, wo ich lebe, auf Sr. Manager, Data Engineering bewerben?
Ja. Carrot nimmt für diese Stelle Kandidaten aus jedem Land der Welt an, Sie brauchen also keine Arbeitserlaubnis für ein anderes Land. Die Anzeige hat eine automatische Prüfung durchlaufen: Hätte das Unternehmen eine Arbeitserlaubnis, Visa-Sponsoring oder Wohnsitz in einem bestimmten Land verlangt, stünde sie nicht auf diesem Board.
Welche Vergütung ist angegeben?
Carrot hat für diese Stelle keine Vergütung veröffentlicht. Die meisten Remote-Anzeigen nennen keine Zahl, das klärt sich im Gespräch.
Wie bewerbe ich mich?
Sie bewerben sich direkt beim Unternehmen, über die ursprüngliche Anzeige auf We Work Remotely. Donator nimmt keine Bewerbungen entgegen, verlangt keine Provision und speichert keinen Lebenslauf.
Was für eine Stelle ist das?
Eine vollständig remote ausgeübte Rolle im Bereich Daten und Analytics. Hybride Anzeigen und alles mit Bürozwang veröffentlichen wir auf diesem Board nicht.
Kostenlose Zertifikate für diese Stelle
Die kostenlosen Zertifikate mit dem größten Gewicht in diesem Bereich. Jedes ist auf der eigenen Seite des Anbieters geprüft.
OCI AI Foundations Associate
exam is free tooOracle · ~10 h
A free certification on the AI track, exam included, taken inside MyLearn. An Agentic AI Foundations version also exists.
strong brandValid: 18-24 monthsAI Fundamentals and Generative AI Essentials
digital badgeIBM SkillsBuild · ~12 h
Credly badges an employer recognises. The tests require 80% to pass.
strong brandAnthropic Academy: 21 courses
certificateAnthropic · ~20 h
Courses on the Claude API, MCP and Claude Code. Each carries a free certificate, and Georgia is a supported country.
moderate weightDeep Reinforcement Learning course
certificateHugging Face · ~30 h
Entirely free with no deadline. 80% earns a Certificate of Completion, 100% a Certificate of Honors.
moderate weight
Ähnliche Stellen
Sr Strategic Data Analyst
$83k - $120k im JahrHealthfirst · vor 2 Tagen
Von überallShopify Specialist, Remote - Contract
Xperteez Technology · vor 3 Tagen
Von überallShopifySQLSenior Data Scientist, Product
RevenueCat · vor 3 Tagen
Aus EuropaPythonPrincipal, Product Analytics
Synthesia · vor 3 Tagen
Aus Europa
