Senior Data Reliability Engineer

About the role

As a Senior Data Reliability Engineer you will create a robust data quality layer that safeguards the freshness, volume, and schema of our pipelines. You will build reconciliation processes between source feeds and gold‑layer tables and integrate alerting into our observability stack to catch issues early.

Key responsibilities

• Implement data quality checks for freshness, volume, and schema across pipelines.
• Build reconciliation processes between source feeds and gold‑layer tables.
• Integrate alerting into existing observability tooling to detect and mitigate issues promptly.
• Define and support recovery objectives for business‑critical datasets.

Required profile

• 5+ years of experience in data engineering or data reliability engineering.
• Strong experience implementing data quality frameworks.
• Hands‑on experience with data observability tooling and Datadog.
• Strong SQL skills.
• Advanced proficiency in English.

Required skills

• Datadog
• SQL
• Data observability tooling

What we offer

• 100% remote work from anywhere.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible hours and self‑managed schedule.
• Paid parental leave, vacations, and national holidays.
• Multicultural environment with mentorship, promotions, and skill development opportunities.