Data Reliability Engineer - Remote, Equity, Learning Budget

Pipevia; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Remote-friendly

Flexible hours

Learning budget

Wellness

Job summary

Pipevia in New York is hiring an Engineering Data Reliability Engineer to ensure our ETL and orchestration pipelines are observable, reliable, and fast.

You will own SLIs/SLOs, build alerting and auto-remediation playbooks, improve ingestion and transformation performance, and mentor engineers on reliability best practices in a remote-friendly, full-time role. Collaborate with product and solutions teams to harden runbooks and scale environments.

Qualifications

• 3+ years in SRE/Platform/Data Engineering.
• Strong SQL and one programming language (Python or Go).
• Hands-on with metrics, logs and traces.

Responsibilities

• Define and own SLIs/SLOs for pipelines and schedulers.
• Build alerting and auto-remediation playbooks.
• Improve ingestion/transform performance and cost.
• Lead on-call and incident response with clear comms.
• Instrument tracing and logs for root-cause analysis.
• Partner with product/solutions to harden runbooks.
• Scale environments with infra-as-code.
• Mentor engineers on reliability best practices.
• Continuously raise the bar for quality.

Skills

SQL

Python

Go

Monitoring

Tools

Snowflake

BigQuery

dbt

Kafka

Kubernetes

Terraform

Job description

Pipevia in New York is hiring an Engineering Data Reliability Engineer to ensure our ETL and orchestration pipelines are observable, reliable, and fast.

You will own SLIs/SLOs, build alerting and auto-remediation playbooks, improve ingestion and transformation performance, and mentor engineers on reliability best practices in a remote-friendly, full-time role. Collaborate with product and solutions teams to harden runbooks and scale environments.