A remote role at Empower.
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Original listing text, shown exactly as published by the company.
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Own the reliability and stability of production data pipelines and data platform services
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Diagnose and resolve data pipeline failures, delays, and data quality issues in production environments
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Investigate issues across distributed data systems (e.g., Spark/EMR workloads, ingestion pipelines, warehouse performance)
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Lead or support incident response, including triage, mitigation, and long-term resolution
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Perform root cause analysis (RCA) and implement durable fixes to prevent recurrence
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Define and improve data SLAs (freshness, latency, completeness) and ensure adherence
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Design and enhance monitoring, alerting, and observability for data systems
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Develop automation and tooling to reduce operational toil and improve system resilience
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Contribute to disaster recovery (DR) and resiliency planning, including backup validation and recovery workflows
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Partner with engineering teams to improve pipeline design, reliability, and operational readiness
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Create and maintain runbooks, SOPs, and operational documentation
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Participate in occasional off-hours support for production data systems when required
What You Will Bring
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Minimum 5 years of experience working with production data platforms in AWS environments
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Prior experience building data pipelines and seeing them through production, including exposure to real-world failures and operational challenges
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Strong experience with Python and SQL in real data systems
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Hands-on experience troubleshooting distributed data processing systems (e.g., Spark/EMR, Redshift, streaming systems)
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Proven ability to debug and resolve production issues in data pipelines and data platforms
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Experience with AWS data services (such as EMR, Redshift, DynamoDB, S3, or similar)
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Experience handling production incidents and performing root cause analysis
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Strong problem-solving mindset and ability to work through ambiguous production issues
What Will Set You Apart
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Experience handling real-world data issues such as pipeline delays or failures
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Experience with backfills and reprocessing
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Experience with late-arriving or incomplete data
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Experience improving observability and alerting specifically for data systems
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Experience influencing or guiding data pipeline reliability and operational practices
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Exposure to streaming/event-driven systems (Kafka, Kinesis, CDC patterns)
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Experience with disaster recovery, backup validation, and resiliency testing
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Strong communication during incidents with both technical and non-technical stakeholders
This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.
Empower
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Empower is a prominent financial services company. They provide retirement planning, investment management, and financial advice services to individuals and institutions.
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