Senior Data Infrastructure Engineer: Build Scalable Data Platforms

Harrison Clarke; San Francisco (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

Harrison Clarke is seeking a Senior Data Infrastructure Engineer for a high-growth technology startup in San Francisco. The role involves building and evolving data infrastructure to support analytics, product development, and business intelligence.

The ideal candidate has over 5 years of experience in data engineering, a strong background in cloud platforms, and proficiency in programming languages like Python or Scala. Join a dynamic team and play a key role in scaling data capabilities.

Qualifications

• 5+ years of experience in data engineering or data infrastructure roles.
• Strong background in distributed systems and cloud platforms (AWS, GCP, or Azure).
• Hands‑on experience with tools such as Spark, Kafka, Airflow, or similar.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize data storage solutions including data lakes and warehouses.
• Implement and manage ETL/ELT workflows and orchestration tools.

Skills

Data engineering

Distributed systems

Cloud platforms (AWS, GCP, or Azure)

Python

Scala

Java

Data modeling

ETL/ELT workflows

Tools

Spark

Kafka

Airflow

dbt

Snowflake

BigQuery

Job description

Harrison Clarke is seeking a Senior Data Infrastructure Engineer for a high-growth technology startup in San Francisco. The role involves building and evolving data infrastructure to support analytics, product development, and business intelligence.

The ideal candidate has over 5 years of experience in data engineering, a strong background in cloud platforms, and proficiency in programming languages like Python or Scala. Join a dynamic team and play a key role in scaling data capabilities.