Curology · 1 month ago
Senior Data Engineer
United States
Full-time
Remote
Senior Level
$170K/yr - $190K/yr
5+ years expCurology is dedicated to making effective, personalized skincare accessible to everyone. The Senior Data Engineer will own and evolve the data systems that power analytics and operational decision-making, building scalable cloud-native data infrastructure and collaborating closely with various teams to establish best practices for high-quality data.
BeautyConsumer GoodsCosmeticsHealth Care
Responsibilities
Own the end-to-end design, build, and operation of core data infrastructure that delivers trusted, timely data for analytics, experimentation, and decision-making
Within the first six months, lead the rebuild and stabilization of core data pipelines, establishing a reliable, well-documented foundation that enables accurate, scalable reporting and supports future analytics and experimentation needs
Build and operate data pipelines using our modern data engineering stack, including Hevo, Fivetran, dbt, Snowflake, Airflow, AWS (S3, Data Lake, Glue), Paradime, Monte Carlo, Hex, and AI-enabled tools such as ChatGPT, Claude, and SageMaker
Act as a senior technical contributor on the data engineering team, establishing best practices for data modeling, testing, observability, and production readiness
Partner cross-functionally with Engineering, Product, Marketing, and Operations to translate business needs into durable, automated data solutions
Improve developer and analyst productivity by reducing friction, standardizing tooling, and investing in self-service data capabilities
Drive continuous improvement of metrics, measurement, and experimentation systems to support insight generation and rapid iteration
Ensure all data systems are designed and operated with privacy, security, and regulatory compliance as foundational requirements
Support high-priority business initiatives by delivering accurate data quickly while maintaining platform stability and long-term scalability
Qualification
Required
5–8 years of professional experience building and operating production data systems, with strong hands-on expertise in Python
Ability to write clean, idiomatic, and maintainable Python, including well-structured, reusable, and testable code
Strong foundation in software engineering best practices, including code reviews, documentation, testing, and CI/CD
6+ years of experience designing and modeling data in relational and non-relational databases, with a clear understanding of performance and scalability tradeoffs
Proven ability to translate analytical or business problems into practical data models and pipelines, clearly articulating design decisions
Experience working with modern data warehouses, including dimensional modeling, ELT workflows, and query optimization
Hands-on experience building, scheduling, and monitoring batch data pipelines using Airflow or comparable orchestration tools
Strong understanding of data architecture fundamentals, including efficient storage, retrieval, and compute usage in cloud-based systems
Practical experience with AWS, including core data and infrastructure services
Production experience with Snowflake, including schema design, performance tuning, and cost-aware usage
Experience working with sensitive or regulated data, and familiarity with compliance requirements such as HIPAA, GDPR, or CCPA
Ability to independently own and deliver well-scoped data engineering projects with minimal supervision
Comfortable supporting high-priority data requests and operational issues while maintaining code quality and system reliability
Proficiency with core technologies such as Python, SQL (MySQL/Snowflake), Airflow, AWS, and Terraform
Preferred
Experience with distributed data processing tools such as Apache Spark
Familiarity with serverless architectures (e.g., AWS Lambda) for data ingestion or transformation use cases
Experience collaborating with Marketing or Growth teams, including exposure to paid channel data and automation workflows
Background working in consumer, e-commerce, or DTC environments
Benefits
Competitive compensation and equity package (RSUs)
Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k)
Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program
Flexible paid time off and holiday policy
Paid parental leave (birthing and non-birthing parents)
Employee donation matching program
Culture Committee and employee resource groups for virtual and in-person connectivity
Complimentary VIP Subscription to Curology or Agency, plus online retail discount
Company
Curology
Curology is a cosmetic company that provides actual prescription skincare customized for their skin and delivered to their door.
201-500 employees
H1B Sponsorship
Curology has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (2)
2023 (4)
2022 (1)
2021 (8)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
$19.15MKey Investors
Advance Venture PartnersKris Fredrickson
2021-04-01Series Unknown
2019-11-26Series D
2017-01-01Series Unknown
Leadership Team
David Lortscher
Co-Founder and Board Member
Nancy Satur
Medical Director Emerita
Recent News
Beauty Innovation Awards
2025-11-05
2025-08-05
Company data provided by crunchbase