Data Reliability Engineer
pipeviaNew York (NY)
About the role
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 BonusWarehouse internals (Snowflake/BigQuery), dbt Competitive salary + equity Learning budget, hardware and wellness
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this