Staff Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Colorado, +18 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🦞 Maine – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $145k - $170k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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NABIS

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🤝 B2B

🏪 Marketplace

B2B • Marketplace

NABIS is the leading licensed cannabis wholesaling platform, providing comprehensive services to licensed dispensaries and brands in California, New York, and Nevada. They offer a wide array of products with over 9,000 SKUs from more than 400 brands. NABIS supports its partners with services such as two-day shipping, warehousing, payment processing, and financing alongside advanced data analytics tools. Apart from facilitating cannabis distribution, NABIS offers financial solutions like invoice factoring and a streamlined software platform that ensures compliance and efficient management of inventory and finances. Their scalable platform empowers suppliers with instant state-wide reach and detailed analytical insights to optimize performance and sales strategies.

📋 Description

• 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. • 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. • Set up monitoring and alerting frameworks around both ingestion routines and dbt builds. • Track pipeline health metrics to measure and report on overall data freshness and platform reliability. • 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.

🎯 Requirements

• Proven production experience building, scaling, and maintaining robust ingestion pipelines using APIs, CDC (Change Data Capture), and orchestrators. • Advanced proficiency in dbt, including production deployments, package management, and writing custom Jinja macros. • Strong hands-on experience manipulating and managing data within cloud data systems (e.g. Snowflake, BigQuery, Databricks). • Strong proficiency in Python or similar back-end languages to build operational applications and custom pipeline tooling. • Experience setting up alerting infrastructure and working with version control (Git) and CI/CD pipelines.

🏖️ Benefits

• Unlimited PTO and paid holidays • Medical/Dental/Vision offered to all full-time employees • 401(k) plan with a match.