AWS Data Reliability Engineer: Build Resilient Pipelines

Koitecc Solutions; Northern (KY); Hybrid; USD 106,000 - 149,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) with matching

Job summary

Empower is seeking a hands-on Senior Data Reliability Engineer to own the reliability, stability, and operational excellence of our AWS-based data platform. You will diagnose issues, resolve production incidents, and influence better design and practices across the data ecosystem.

You will work closely with data and platform engineering teams to ensure data pipelines meet SLAs, with strong emphasis on monitoring, automation, and disaster recovery.

Qualifications

• Minimum 5 years of experience working with production data platforms in AWS environments
• Experience building data pipelines through production including real-world failures and operational challenges
• Strong experience with Python and SQL in real data systems
• Hands-on experience troubleshooting distributed data processing systems (e.g., Spark/EMR, Redshift, streaming systems)
• Proven ability to debug and resolve production issues in data pipelines and data platforms
• Experience with AWS data services (EMR, Redshift, DynamoDB, S3 or similar)
• Experience handling production incidents and performing root cause analysis
• Strong problem-solving mindset and ability to work through ambiguous production issues

Responsibilities

• Own the reliability and stability of production data pipelines and data platform services
• Diagnose and resolve data pipeline failures, delays, and data quality issues in production environments
• Investigate issues across distributed data systems (e.g., Spark/EMR workloads, ingestion pipelines, warehouse performance)
• Lead or support incident response, including triage, mitigation, and long-term resolution
• Perform root 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
• Develop automation and tooling to reduce operational toil and improve system resilience
• 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 when required

Skills

Python

SQL

AWS

Spark/EMR

Redshift

Data pipelines

Incident management

Observability

Tools

EMR

Redshift

DynamoDB

S3

Kafka/Kinesis

Job description

Empower is seeking a hands-on Senior Data Reliability Engineer to own the reliability, stability, and operational excellence of our AWS-based data platform. You will diagnose issues, resolve production incidents, and influence better design and practices across the data ecosystem.

You will work closely with data and platform engineering teams to ensure data pipelines meet SLAs, with strong emphasis on monitoring, automation, and disaster recovery.