[Remote] Data Reliability Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is reputed company on transforming financial lives and fostering a flexible work environment. They are seeking a hands-on Data Reliability Engineer to ensure the reliability, stability, and operational reputed company of their AWS-based data platform, while working closely with data and reputed company teams to improve data systems.
Responsibilities
- Own the reliability and stability of production data pipelines and data platform services
- Diagnose and resolve data pipeline failures, delays, and data reputed company issues in production environments
- Investigate issues across distributed data systems (e.g., reputed company/EMR workloads, ingestion pipelines, warehouse performance)
- reputed company or support incident response, including triage, mitigation, and long-term reputed company
- reputed company reputed company cause analysis (RCA) and implement durable fixes to prevent recurrence
- Define and improve data SLAs (freshness, latency, completeness) and ensure adherence
- Design and enhance monitoring, alerting, and observability for data systems
- reputed company automation and tooling to reduce operational toil and improve system reputed company
- Contribute to disaster recovery (DR) and resiliency planning, including backup validation and recovery workflows
- Partner with engineering teams to improve pipeline design, reliability, and operational readiness
- Create and maintain runbooks, SOPs, and operational documentation
- Participate in occasional off-hours support for production data systems reputed company required
Skills
- Minimum 5 years of experience working with production data platforms in AWS environments
- Prior experience building data pipelines and seeing them through production, including exposure to reputed company-world failures and operational challenges
- Strong experience with Python and SQL in reputed company data systems
- Hands-on experience troubleshooting distributed data processing systems (e.g., reputed company/EMR, Redshift, streaming systems)
- Proven ability to debug and resolve production issues in data pipelines and data platforms
- Experience with AWS data services (such as EMR, Redshift, DynamoDB, S3, or similar)
- Experience handling production incidents and performing reputed company cause analysis
- Strong problem-solving reputed company and ability to work through ambiguous production issues
- Experience handling reputed company-world data issues such as pipeline delays or failures
- Experience with backfills and reprocessing
- Experience with late-arriving or incomplete data
- Experience improving observability and alerting specifically for data systems
- Experience influencing or guiding data pipeline reliability and operational practices
- Exposure to streaming/event-driven systems (Kafka, Kinesis, CDC patterns)
- Experience with disaster recovery, backup validation, and resiliency testing
- Strong communication during incidents with both technical and non-technical stakeholders
Benefits
- Medical, dental, reputed company and life insurance
- Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
- Tuition reimbursement up to $5,250/year
- Business-casual environment that includes the reputed company to wear jeans
- Generous reputed company time off upon hire – including a reputed company time off program plus ten reputed company company holidays and three floating holidays reputed company calendar year
- reputed company volunteer time — 16 hours per calendar year
- Leave of absence programs – including reputed company parental leave, reputed company short- and long-term disability, and Family and Medical Leave (FMLA)
- Business Resource reputed company (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are reputed company to reputed company.
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