Data Engineer — Hybrid Schedule, Production Pipelines on Snowflake

SmartRecruiters, Inc.; San Francisco (CA); Hybrid; USD 120,000 - 170,000; Full time

Job summary

SmartRecruiters, Inc. is seeking a hands-on Data Engineer to join DataSF's Data Enablement team. You will build and maintain production data pipelines, develop dbt data models on Snowflake, and help transition publishing workflows to the platform.

The role emphasizes data accuracy and rapid learning in a collaborative environment. You will work with analysts and senior engineers to deliver scalable data solutions, with a hybrid work schedule in a city agency setting.

Qualifications

• Must have SQL and Python skills to analyze data and build pipelines.
• Familiarity with dbt, Snowflake, Terraform; strong data modeling capabilities.

Responsibilities

• Build and maintain production data pipelines with tests and docs.
• Develop data models in dbt transforming raw data into clean tables.
• Create financial and budget data products to support planning.
• Support platform cost and usage reporting for departments.
• Help transition publishing workflows to the platform, including open data feeds.
• Investigate and resolve data quality issues and add tests to prevent recurrence.
• Assist analysts in using the models and participate in code reviews.
• Collaborate with senior engineers and other teams to scale the platform.

Skills

SQL

Python

dbt

Snowflake

Terraform

Education

Associate degree or equivalent

Tools

dbt

Snowflake

Terraform

Job description

SmartRecruiters, Inc. is seeking a hands-on Data Engineer to join DataSF's Data Enablement team. You will build and maintain production data pipelines, develop dbt data models on Snowflake, and help transition publishing workflows to the platform.

The role emphasizes data accuracy and rapid learning in a collaborative environment. You will work with analysts and senior engineers to deliver scalable data solutions, with a hybrid work schedule in a city agency setting.