Staff Data Engineer
New
N
NABISCannabis wholesale
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.Full-TimeStaff
Salary145,000 - 170,000 USD per year
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Job Details
- Required Skills
- PythonSQLGitSnowflakeCI/CDBigQuerydbtDatabricks
Requirements
- Proven production experience building, scaling, and maintaining robust ingestion pipelines using APIs, CDC, 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 such as Snowflake, BigQuery, or Databricks.
- Strong proficiency in Python or similar back-end languages for building operational applications and custom pipeline tooling.
- Experience setting up alerting infrastructure and working with version control (Git) and CI/CD pipelines.
- Familiarity with experimentation platforms or A/B testing infrastructure (nice-to-have).
- Background supporting ML pipelines, feature stores, or observability tools (nice-to-have).
- Production experience configuring and maintaining semantic views or unified metrics layers (nice-to-have).
Responsibilities
- Own the building, maintenance, and optimization of pipelines to ingest data from operational databases and third-party tools into a data lake/warehouse.
- Architect efficient ingestion patterns that handle evolving data schemas and high-volume data streams.
- Optimize pipeline performance to ensure uptime, throughput, and cost-effective compute usage.
- Use dbt to transform raw data into production-ready schemas using templated SQL and Jinja code.
- Manage dbt deployments, CI/CD workflows, and implement data quality tests.
- Establish monitoring and alerting frameworks for ingestion routines and dbt builds to ensure data reliability.
- Build data applications and internal tools to facilitate self-service analytics and ML workflows.
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