Staff Data Engineer, Analytics Platform Lead

Precision Labs; San Francisco, Northern (CA, KY); Hybrid; USD 168,000 - 250,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Home office stipend

Professional development

Monthly stipends

Flexible PTO

Job summary

Afresh, the AI platform for groceries, is seeking a Staff Data Engineer to own the analytics platform on the Data Science and Analytics team. You’ll evolve data models, solidify pipelines, and establish governance for AI‑driven insights powering retailers.

You will collaborate with data engineers, product managers, and data scientists to build scalable, billion‑row pipelines using dbt, Airflow, LookML, and cloud data warehouses. This role offers meaningful equity and health benefits.

Qualifications

• 6+ years of experience as a data engineer, analytics engineer, or similar role.
• Exceptional communication and leadership skills, with a proven ability to facilitate cross‑team and cross‑functional collaboration and information‑sharing.
• A drive to learn new skills and dive into unfamiliar domains.
• A strong sense of ownership and agency — taking initiative to spot problems and solve them without waiting to be told.
• Fluency in advanced concepts in SQL, dimensional modeling, and data warehouse design; experience with Cloud Data Warehouse platforms (Databricks, Snowflake, BigQuery, etc.)
• Proficiency in dbt
• Experience with orchestration tools (Airflow/Astronomer, Dagster, or similar)
• Experience with modern semantic layers: LookML, Cube.dev, Databricks Metrics Views, dbt MetricFlow, etc.).
• Experience designing and optimizing pipelines of billion+ row datasets
• Experience working with and extending AI models to produce high quality code and reliable analytics

Responsibilities

• Improving, extending, and optimizing our data analytics architecture to provide reliable and accessible data for our suite of data products;
• Collaborating with stakeholders across the company to understand their data needs, and then build extensible dimensional models, semantic layer metrics, and agentic context and tooling that will allow for consistent and reliable AI‑assisted insights;
• Evolving our existing data quality and data governance processes; and
• Mentoring and up‑skilling other engineers

Skills

SQL

Dimensional modeling

Data warehouse design

Leadership

Cross-team collaboration

Ownership

Cloud data warehouses

dbt

Airflow

LookML

Tools

Databricks

Snowflake

BigQuery

dbt

Job description

Afresh, the AI platform for groceries, is seeking a Staff Data Engineer to own the analytics platform on the Data Science and Analytics team. You’ll evolve data models, solidify pipelines, and establish governance for AI‑driven insights powering retailers.

You will collaborate with data engineers, product managers, and data scientists to build scalable, billion‑row pipelines using dbt, Airflow, LookML, and cloud data warehouses. This role offers meaningful equity and health benefits.