Summary

Senior Data Engineer

About Absinthe Labs

Absinthe was founded in 2022 and is funded by 6th Man Ventures, Geometry Ventures, Tangent Ventures, Builder Capital, Room40 Ventures, and Outlier Ventures.

We’ve achieved >20 Million Visits, >2 million users registered, and launched dozens of web3 projects. We're now scaling our operations with a strategic hire.

The Position

We’re looking for a Senior Data Engineer, passionate about designing and optimizing large-scale, high-performance data systems. In this role, you’ll have the opportunity to build Absinthe’s foundational data infrastructure, powering critical customer insights and loyalty metrics across our platform. This is a high-ownership role in a fast-paced, dynamic environment, perfect for engineers who want to see their work directly impact product value and customer engagement.

What You’ll Do

1. Design and implement scalable data pipelines to process customer data across platforms, powering real-time loyalty rewards and personalized user experiences
2. Develop sophisticated points-based reward systems using Postgres SQL, enabling dynamic leaderboards, rank-based rewards, and configurable points transfers
3. Build and optimize dbt transformations to create advanced loyalty mechanics, from targeted bonus structures to complex eligibility rules
4. Architect a comprehensive customer data platform that enables identity resolution and attribute-based targeting, driving higher engagement rates
5. Engineer robust monitoring and analytics systems to ensure reliable pipeline performance and provide actionable insights to stakeholders
6. Create flexible data integrations that adapt to diverse data sources, expanding our platform's reach and capabilities

What You Bring

1. 5+ years of experience in data engineering, ideally within customer data platforms, adtech, or high-growth tech environments.
2. Technical Mastery:
3. Advanced skills in ETL and data pipeline development, with strong command of Postgres-SQL..
4. Practical experience with data orchestration tools like dbt and Dagster.
5. Proficiency in Python data science libraries such as numpy, pandas, scipy, and sklearn for advanced data manipulation and machine learning workflows.
6. A solid grasp of containerization (Docker, Kubernetes) and Python (and it’s libraries) for data engineering.
7. Familiarity with CI/CD workflows (github actions), automated backup strategies, and monitoring tools (grafana, prometheus, alerting, etc).
8. Bonus: Familiarity with RabbitMQ, Amplitude, or Google Analytics.
9. Efficient Communicator: You’re skilled at conveying complex ideas in distributed teams and bring effective communication to collaborative projects.
10. Start-up Agility: You thrive in a high-growth environment and bring a proactive, iterative approach to your work.

Workplace

Absinthe is a serious and high-paced place to work. We only hire top-tier talent who push themselves and each other to be the best. We’re constantly shipping, scaling, and improving, all with a shared sense of urgency and drive.

it’s sometimes very fast paced, but I love the hustle here. it’s just fun to see the whole team pushing. y’all don’t stop ever. energy is infectious 🔥

Everyone works long hours at high intensity. We do this because seeing real progress as a result of our work is extremely rewarding.

Only serious applicants should apply.

What We Offer

1. Competitive Compensation: Top-tier compensation package
2. Flexibility: Work remotely or join us in NYC.
3. High Ownership: Take on projects that make a visible impact, with the freedom to lead and innovate.
4. Direct Access to Leadership: Work closely with our founders and executive team to bring your ideas to life.

If you’re ready to help shape the future of Web3 loyalty, we want to hear from you.

Apply Today

Submit your application and join us in building the next era of customer engagement in Web3.

Skills

• Data Structures
• Database Management
• Machine Learning
• Python
• Software Engineering