Senior Data Engineer - City Data Platform (Hybrid)

City and County of San Francisco

San Francisco, Northern (CA, KY)

Hybrid

USD 154,000 - 193,000

Full time

6 hours ago
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Job summary

DataSF in San Francisco is seeking a Senior Data Engineer to design, build, and maintain the City's data infrastructure. You will manage the Snowflake data warehouse and develop scalable pipelines to support analytics and operations, in a permanent exempt, full-time role with a hybrid schedule.

The ideal candidate has 3+ years of experience with Snowflake, BigQuery, or Databricks, strong SQL and Python skills, and experience with Terraform and data orchestration tools.

Qualifications

  • Hands-on experience with modern cloud data platforms (Snowflake, BigQuery, Databricks).
  • Strong SQL development and data modeling skills.
  • Proficiency in Python for data processing (pandas, PySpark).
  • Familiarity with Terraform and data orchestration tools (Airflow, Dagster).
  • Knowledge of data governance, privacy, and security principles.

Responsibilities

  • Design, build, and maintain scalable data pipelines and data warehouse solutions.
  • Collaborate with data scientists, analysts, and product teams to meet data needs.
  • Monitor data quality and platform health, guiding improvements.
  • Provide leadership on best practices for data modeling and testing.

Skills

Cross-functional collaboration
Problem-solving
Public-service mindset

Education

Associate degree in CS/CE/IS

Tools

Snowflake
BigQuery
Databricks
dbt
Python
Pandas
PySpark
Terraform
Airflow
Dagster
Kafka
Kinesis
Snowpipe

Job description

DataSF in San Francisco is seeking a Senior Data Engineer to design, build, and maintain the City's data infrastructure. You will manage the Snowflake data warehouse and develop scalable pipelines to support analytics and operations, in a permanent exempt, full-time role with a hybrid schedule.

The ideal candidate has 3+ years of experience with Snowflake, BigQuery, or Databricks, strong SQL and Python skills, and experience with Terraform and data orchestration tools.

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