Remote Data Engineer: Secure, observable pipelines

SEGMENT360; San Ramon (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Meaningful equity

Remote-first culture

Job summary

SEGMENT360 is seeking a Data Engineer to design and maintain pipelines inside the client’s own cloud and warehouse. You will model first-party data for agents and analytics, ensure reliability, observability, and secure access within the client’s boundary.

The role emphasizes ownership, least-privilege access, and auditable systems, with the opportunity to work remotely in a senior capacity and participate in equity with the team.

Qualifications

• 3+ years of data engineering experience in production
• Experience building production data pipelines in cloud environments
• Ability to design data models with quality and lineage
• Comfort operating in someone else’s cloud with security constraints

Responsibilities

• Build and maintain data pipelines inside customer clouds (BigQuery, Databricks, Redshift, and friends).
• Model the first-party data that agents and analytics rely on, with quality and lineage you can stand behind.
• Wire agents to live data sources and keep those connections reliable and observable in production.

Skills

SQL

Pipelines

Orchestration

Data warehouse

Tools

BigQuery

Databricks

Redshift

dbt

Airflow

Job description

SEGMENT360 is seeking a Data Engineer to design and maintain pipelines inside the client’s own cloud and warehouse. You will model first-party data for agents and analytics, ensure reliability, observability, and secure access within the client’s boundary.

The role emphasizes ownership, least-privilege access, and auditable systems, with the opportunity to work remotely in a senior capacity and participate in equity with the team.