Clay · 10 hours ago
Analytics Engineer
Clay is a company dedicated to helping organizations turn growth ideas into reality through creativity and data insights. They are seeking an Analytics Engineer to manage data models and pipelines, enabling better decision-making across various teams by ensuring a scalable and durable analytics foundation.
Computer Software
Responsibilities
Own data pipelines: Design, build, and maintain reliable ETL/ELT pipelines, ensuring timely and accurate delivery of high-quality data across the organization
Build a scalable foundation: Find ways to leverage and improve our current data models by architecting resilient, maintainable dbt models that serve as the trusted source of truth for analytics, experimentation, and data products
Collaborate cross-functionally: Work closely with data scientists, engineers, and business teams to understand use cases and proactively develop data assets that support their goals effectively and scalably
Drive architectural improvements: Identify opportunities to consolidate and improve our data platform, proposing improvements that ensure long-term scalability and flexibility
Improve data quality, discoverability, and metric clarity: Design and implement robust systems for schema design, data validation, documentation, and governance, while defining and standardizing core business metrics and semantic definitions to ensure consistency across teams and tools
Support self-serve insights: Enable teams with intuitive, trustworthy data products and tooling that allow less-technical users to explore data and develop solutions independently
Plan for the future: Help define the evolution of Clay’s data stack and architecture, including how we consolidate, transform, and surface data and intelligence for emerging use cases
Qualification
Required
6+ years of hands-on experience in analytics engineering, data engineering, or data management
Strong ownership mentality and proven ability to design for scalability, durability, and reusability
Expert in SQL, Python, AWS infrastructure, and modern data tools (emphasis on dbt, Dagster/Airflow)
A passion for pragmatic solutioning while staying current on modern data and AI tooling, pushing the boundaries of GenerativeAI's role in Data Products and workflows
Excitement for iterative, agile development processes and collaboration with diverse teams
Benefits
All employees can work for free with world-class coaches who specialize in creativity, management, and more.
Company
Clay
✨ The creative tool for growth | Go to market with unique data - and the ability to act on it
H1B Sponsorship
Clay 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 (10)
2024 (5)
2023 (2)
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase