Remote Senior Data Engineer — Scale a Shared Platform

Ladders; United States; Remote; USD 145,000 - 193,000; Full time

Benefits offered by this job

Health care coverage

Retirement plans

Generous PTO

Growth opportunities

Events & partnerships

Job summary

Ladders is seeking a Sr. Data Engineer to own and evolve a shared data platform powering reliable reporting, scalable ingestion, and efficient data operations across the organization.

You will partner with engineers and analysts to improve platform performance, incident response, and build reusable tooling for delivery at scale; remote US-based. This hands-on role covers data infrastructure, orchestration, cloud services, and production support.

Qualifications

• 7+ years of experience building and operating production data platforms.
• Hands-on Snowflake administration including RBAC, cost management, and performance tuning.
• Strong Python and SQL programming with shared libraries for engineers.
• Experience with Prefect and Airflow, especially on Kubernetes.
• Terraform for AWS (EKS, S3) infrastructure as code.
• dbt at scale with project structuring and macros.
• CI/CD ownership in data systems using GitHub Actions.

Responsibilities

• Own and manage data pipelines and models while ensuring platform reliability end to end.
• Serve as the escalation point for incidents and perform root cause analysis.
• Define service levels for critical pipelines and report on them.
• Provide design guidance across the platform to engineers and analysts.
• Build shared components for the unified platform to streamline cross-unit functionality.
• Oversee Snowflake account consolidation, including merging and replication processes.
• Build reusable ingestion tools and libraries to improve efficiency.

Skills

Python

SQL

RBAC design

Performance tuning

Cloud services

Kubernetes

Airflow

dbt

GitHub Actions

Tools

Snowflake

Airflow

Kubernetes

Terraform

GitHub Actions

dbt

Job description

Ladders is seeking a Sr. Data Engineer to own and evolve a shared data platform powering reliable reporting, scalable ingestion, and efficient data operations across the organization.

You will partner with engineers and analysts to improve platform performance, incident response, and build reusable tooling for delivery at scale; remote US-based. This hands-on role covers data infrastructure, orchestration, cloud services, and production support.