Senior Data Reliability Engineer - Remote Work | REF#304038
At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Senior Data Reliability Engineer at BairesDev
In this role, you'll build a new data quality layer, implementing freshness, volume, and schema checks across pipelines, plus reconciliation between source feeds and Gold-layer tables. Wiring alerting into existing observability tooling, you'll ensure issues are caught early, before they can impact downstream consumers. This is your opportunity to build real technical guardrails around critical reference and pricing data, strengthening reliability across a growing data platform.
What You'll Do
Apply now!
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
Senior Data Reliability Engineer at BairesDev
In this role, you'll build a new data quality layer, implementing freshness, volume, and schema checks across pipelines, plus reconciliation between source feeds and Gold-layer tables. Wiring alerting into existing observability tooling, you'll ensure issues are caught early, before they can impact downstream consumers. This is your opportunity to build real technical guardrails around critical reference and pricing data, strengthening reliability across a growing data platform.
What You'll Do
- Implement data quality checks for freshness, volume, and schema across pipelines.
- Build reconciliation processes between source feeds and Gold-layer tables.
- Wire alerting into existing observability tooling to catch issues before they escalate.
- Define and support recovery objectives for prioritized, business-critical datasets.
- 5+ years of experience in data engineering or data reliability engineering.
- Strong experience implementing data quality frameworks.
- Experience with data observability tooling.
- Hands-on experience with Datadog.
- Strong SQL skills.
- Advanced proficiency in English.
- 100% remote work (from anywhere).
- Excellent compensation in USD or your local currency if preferred
- Hardware and software setup for you to work from home.
- Flexible hours: create your own schedule.
- Paid parental leaves, vacations, and national holidays.
- Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
- Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
Apply now!
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