Empower

Senior Data Reliability Engineer AWS

Empower
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22 hours ago
Remote, United StatesSenior

Base Salary

$106k - $149k/yr

Responsibilities

  • Own the reliability and stability of production data pipelines and data platform services.
  • Diagnose and resolve pipeline failures, delays, data quality issues, distributed processing problems, and warehouse performance issues.
  • Lead or support incident response, including triage, mitigation, root cause analysis, and durable remediation.
  • Define and improve data SLAs for freshness, latency, and completeness.
  • Design and enhance monitoring, alerting, and observability for data systems.
  • Develop automation and tooling to reduce operational toil and improve resilience.
  • Contribute to disaster recovery, backup validation, recovery workflows, and resiliency testing.
  • Partner with engineering teams to improve pipeline design, reliability, and operational readiness.
  • Create and maintain runbooks, standard operating procedures, and operational documentation.
  • Participate in an on-call rotation and occasional off-hours production support, change windows, and resiliency drills.

Requirements

  • At least 5 years of experience working with production data platforms in AWS environments.
  • Experience building data pipelines through production deployment, including handling real-world failures and operational challenges.
  • Strong experience with Python and SQL in real data systems.
  • Hands-on experience troubleshooting distributed data processing systems such as Spark/EMR, Redshift, and 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, and S3.
  • Experience handling production incidents and performing root cause analysis.
  • Experience with pipeline backfills and reprocessing, late-arriving or incomplete data, and data-system observability and alerting is preferred.
  • Experience with streaming or event-driven systems such as Kafka, Kinesis, and CDC patterns is preferred.
  • Experience with disaster recovery, backup validation, resiliency testing, and influencing data pipeline reliability practices is preferred.
  • Strong communication skills during incidents with technical and non-technical stakeholders.

Benefits

  • Medical, dental, vision, and life insurance.
  • 401(k) plan with company matching contributions up to 6%, potential discretionary contributions, financial advisory services, and investment options.
  • Tuition reimbursement up to $5,250 per year.
  • Generous paid time off upon hire, including paid company holidays and floating holidays.
  • 16 hours of paid volunteer time per calendar year.
  • Paid parental leave, paid short- and long-term disability, and Family and Medical Leave programs.
  • Business Resource Groups supporting inclusion and collaboration.
  • Flexible work environment; remote or hybrid employees must provide reliable high-speed wired internet and an appropriate home workspace, and may be required to work in the office if conditions are inadequate.
  • Business-casual environment with the option to wear jeans.

Tech Stack

Amazon DynamoDBAmazon RedshiftApache KafkaApache SparkAWSPythonSQL

Categories

Data EngineeringSite Reliability
Empower

About Empower

10,000+ employees
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