Senior Analytics Engineer

D8 LooP; San Francisco (CA); Remote; USD 150,000 - 230,000; Full time

Job summary

Plaid in San Francisco (Remote) is seeking a Senior Analytics Engineer with 5+ years of experience to design and maintain analytics data models, pipelines, and semantic layers that support marketing analytics and reporting. You will partner with cross-functional teams to translate data into actionable insights and dashboards while leveraging Databricks, Snowflake, and dbt.

The role emphasizes advanced SQL, Python-based modeling, and ML applicability to business contexts, with remote-friendly, SF

Qualifications

• Advanced SQL and production-grade data modeling experience; dbt preferred.
• Python proficiency for modeling and analysis work.
• Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, BigQuery or Redshift).
• dbt ownership of dbt models and data marts powering marketing analytics and reporting.

Skills

Python

SQL

Machine learning

Spark

Tools

dbt

Databricks

Snowflake

BigQuery

Redshift

GCP

Job description

Plaid · jobs.ashbyhq.com · checked today

San Francisco HQ Senior · Remote 5+ yrs Analytics Engineer posted 8 d ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life.

Skills, with evidence

Advanced SQL and production-grade data modeling experience — dbt strongly preferred must have

• Python Python proficiency for modeling and analysis work must have
• SQL Advanced SQL and production-grade data modeling experience — dbt strongly preferred must have
• Warehousing Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, BigQuery, or Redshift) must have
• dbt Own the dbt models and data marts that power Marketing analytics, activation, and reporting. must have
• Machine learning Demonstrated experience shipping predictive models or applied ML in a business context must have · not practised here
• Spark We build and maintain the core semantic layer data models (dbt on Databricks), activation layer, and BI surfaces that these teams rely on — and we partner with stakeholders to turn those models into decisions, forecasts, analytics and experiments.
• GCP - Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, BigQuery, or Redshift) not practised here