Remote Data Engineer — dbt, SQL Pipelines & SaaS Metrics

Dime9 Labs; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Dime9 Labs is seeking a data engineer to own how product and business data moves into the warehouse and how it is modeled once there. This fully remote position is open to candidates in the US and involves dbt, SQL, and written data contracts agreed with dependent teams.

You will build and monitor batch and event pipelines, model revenue and retention data in dbt, and ensure data quality at the source while collaborating with Finance to align metrics with the books.

Qualifications

• 4+ years in data engineering.
• Strong SQL and Python for pipeline work.
• Experience with dbt and cloud data warehouses.
• Bonus: experience with SaaS metrics such as ARR and net retention.

Responsibilities

• Build and monitor batch and event pipelines into the warehouse.
• Model revenue, usage, and retention data in dbt.
• Set data quality checks and fix failures at the source.
• Partner with finance so reported metrics match the books.

Skills

SQL

Python

Data pipelines

Tools

dbt

Snowflake

BigQuery

Job description

Dime9 Labs is seeking a data engineer to own how product and business data moves into the warehouse and how it is modeled once there. This fully remote position is open to candidates in the US and involves dbt, SQL, and written data contracts agreed with dependent teams.

You will build and monitor batch and event pipelines, model revenue and retention data in dbt, and ensure data quality at the source while collaborating with Finance to align metrics with the books.