About Nabis:
Nabis is the #1 licensed cannabis wholesale platform in the world, supplying $1B+ worth of cannabis products annually from hundreds of brands to retailers across California, New York, and Nevada. Our mission is to empower the world to discover cannabis by providing choice, access, and innovation.Through modern, scalable infrastructure, our mission is to empower the world to discover cannabis by providing choice, access, and innovation.
We’re at the forefront of this movement, building an innovative, technology-first platform to scale the entire cannabis industry. Backed by Y Combinator and investors, including DoorDash Co-Founder Stanley Tang, NFL Hall of Famer Joe Montana, Gmail creator Paul Buchheit, and Twitch co-founder Justin Kan, Nabis is rapidly expanding across the U.S. with the goal of becoming the largest and most influential cannabis distribution network globally.
Location Eligibility: This role is open to candidates based in the following states: CA, CO, FL, GA, IA, ID, IL, KS, MA, MD, ME, MI, MO, NJ, NV, NY, TN, TX, UT, VA, or WA. Applicants residing outside of these states will not be considered at this time.
About the Role:
We are seeking a Staff Data Engineer to serve as the core developer and owner of our data pipelines and platform tools. In this role you will focus on execution, performance, and maintenance, driving the development of end-to-end data pipelines from ingestion to analytics application delivery. You will ensure our modern data stack remains highly performant, reliable, and accessible for downstream users.
Responsibilities:
Ingestion & Pipeline Ownership
- Own the building, maintenance, and optimization of pipelines to ingest data from both operational databases and third-party tools into a data lake/warehouse.
- Architect highly efficient ingestion patterns that handle evolving data schemas and high-volume, multi-source data streams seamlessly.
- Optimize pipeline performance to ensure maximum uptime, high throughput, and cost-effective compute usage.
Data Transformation
- Use dbt to transform raw data within the data warehouse into structured, production-ready schemas.
- Write templated SQL and Jinja code to enforce macro-driven, modular, and DRY (Don't Repeat Yourself) development practices.
- Perform rigorous data quality checks by implementing native dbt tests.
- Manage dbt deployments and CI/CD workflows to ensure smooth, zero-downtime production updates.
Observability, Monitoring & Alerting
- Set up monitoring and alerting frameworks around both ingestion routines and dbt builds, ensuring that all issues are surfaced clearly to the data team.
- Track pipeline health metrics to measure and report on overall data freshness and platform reliability.
Self-Service Application & Tools Development
- Build data applications that interact with the data warehouse to empower decentralized self-service analytics.
- Build internal tooling and libraries to facilitate analytics and ML work.
Qualifications:
- Pipeline Expertise: Proven production experience building, scaling, and maintaining robust ingestion pipelines using APIs, CDC (Change Data Capture), and orchestrators.
- dbt Mastery: Advanced proficiency in dbt, including production deployments, package management, and writing custom Jinja macros.
- Data Warehousing: Strong hands-on experience manipulating and managing data within cloud data systems (e.g. Snowflake, BigQuery, Databricks).
- Software Development: Strong proficiency in Python or similar back-end languages to build operational applications and custom pipeline tooling.
- Data Ops: Experience setting up alerting infrastructure and working with version control (Git) and CI/CD pipelines.
Nice-to-Have Qualifications
- Experimentation Platforms: Experience integrating or managing infrastructure for A/B testing and statistical computation.
- ML Infrastructure: Background supporting ML pipelines, feature stores, or observability tools.
- Semantic Views: Production experience configuring and maintaining semantic views or unified metrics layers (e.g., Snowflake Semantic Views).
Compensation & Benefits:
- Unlimited PTO and paid holidays
- Base Salary starting at 145,000-170,000
- Medical/Dental/Vision offered to all full-time employees
- 401(k) plan with a match.
Nabis is an Equal Opportunity Employer
Nabis is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage women, people of color, LGBTQIA individuals, people with disabilities, members of ethnic minorities, foreign-born residents, older members of society, and others from minority groups and diverse backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of Nabis are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.
Skills Required
- Production experience building, scaling, and maintaining ingestion pipelines using APIs, CDC, and orchestrators.
- Advanced proficiency in dbt, including production deployments, package management, and custom Jinja macros.
- Strong hands-on experience with cloud data platforms (Snowflake, BigQuery, Databricks).
- Strong proficiency in Python or similar back-end languages for building operational applications and pipeline tooling.
- Experience setting up alerting infrastructure, working with version control (Git) and CI/CD pipelines.
- Ability to perform rigorous data quality checks and manage dbt tests and CI/CD for zero-downtime production updates.
- Location eligibility: must be based in CA, CO, FL, GA, IA, ID, IL, KS, MA, MD, ME, MI, MO, NJ, NV, NY, TN, TX, UT, VA, or WA.
- Experience integrating or managing experimentation platforms and A/B testing infrastructure.
- Background supporting ML pipelines, feature stores, or ML observability tools.
- Production experience configuring and maintaining semantic views or unified metrics layers (e.g., Snowflake Semantic Views).
Nabis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nabis and has not been reviewed or approved by Nabis.
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Healthcare Strength — Nabis advertises medical, dental, and vision coverage for full-time employees, with several postings stating the company pays about 75% of the employee premium. Some commentary also points to multiple health-plan options and other medical-related perks depending on plan choice.
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Retirement Support — A 401(k) plan is consistently listed as part of the benefits package, and some salaried postings specify a company match. In a regulated, cost-pressured industry, the presence of a match can meaningfully improve total rewards for eligible employees.
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Equity Value & Accessibility — Equity and potential bonus opportunities are explicitly included in some senior and tech leadership compensation packages. This can increase total compensation for certain corporate roles beyond base pay.
Nabis Insights
What We Do
Nabis is a Series B stage licensed cannabis wholesale marketplace with the largest portfolio of cannabis brands, supplying over 100 brands to 99% of California’s dispensaries and delivery services. Our mission is to empower the world to discover cannabis by providing choice, access, and innovation. Our team, backed by Y-Combinator and a from a celebrity roster of tech executives, including Doordash cofounder Stanley Tang, Gmail creator Paul Buchheit and Twitch cofounder Justin Kan, is scaling the cannabis supply chain with technology with the ultimate goal of becoming the largest distributor of cannabis products in the world.
