Data Reliability Engineer

Pipevia; New York, Northern (NY, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Equity

Learning budget

Hardware provided

Wellness benefits

Job summary

Pipevia is seeking an experienced SRE/Platform/Data Engineer to ensure our ETL and orchestration systems are observable, reliable, and fast. You will own SLIs/SLOs, build alerting and remediation playbooks, and mentor engineers on reliability best practices.

You will lead on-call and incident response, instrument tracing and logs, and partner with product teams to harden runbooks while scaling environments with infra-as-code. Competitive salary and equity are offered.

Qualifications

• 3+ years in SRE/Platform/Data Engineering required.
• Strong SQL and one programming language (Python/Go) required.
• 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

SRE/Platform

SQL

Python/Go

Metrics/Logs/Tracing

On-call

Job description

Ensure our ETL and orchestration systems are observable, reliable and fast.

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

Requirements

Must have

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

Bonus

• Warehouse internals (Snowflake/BigQuery), dbt
• Competitive salary + equity
• Learning budget, hardware and wellness