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Senior Data Reliability Engineer – AWS

Job not on LinkedIn

🕒 August 1

🇺🇸 United States – Remote

💵 $105.7k - $149.3k / year

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

Where this job comes from

Posted on Empower's careers page, not through a job board

First seen by Remote Rocketship August 1

Still open on Empower's site. Checked 4 hours ago.

Logo of Empower

Empower

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Own the reliability and stability of production data pipelines and data platform services • Diagnose and resolve pipeline failures, delays, and data quality issues • Investigate distributed data systems including Spark/EMR workloads, ingestion pipelines, and warehouse performance • Lead or support incident response, including triage, mitigation, and long-term resolution • Perform root cause analysis and implement durable fixes • Define and improve data SLAs for freshness, latency, and completeness • Design and enhance monitoring, alerting, and observability • Develop automation and tooling to reduce operational toil and improve resilience • Contribute to disaster recovery and resiliency planning, 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 an on-call rotation and occasional off-hours support/change windows • Collaborate with data and platform engineering teams on production issues and operational practices

🎯 Requirements

• Minimum 5 years of experience working with production data platforms in AWS environments • Prior 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 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, S3, or similar • Experience handling production incidents and performing root cause analysis • Experience with backfills and reprocessing • Experience with late-arriving or incomplete data • Experience improving observability and alerting for data systems • Experience influencing or guiding data pipeline reliability and operational practices • Exposure to streaming/event-driven systems such as Kafka, Kinesis, and CDC patterns • Experience with disaster recovery, backup validation, and resiliency testing • Strong problem-solving ability with ambiguous production issues • Strong communication during incidents with technical and non-technical stakeholders • Must be authorized to work for any employer in the United States • No employment visa sponsorship or sponsorship takeover available, including CPT/OPT • Reliable high-speed internet with a wired connection and a suitable home workspace for remote work

🏖️ Benefits

• Medical, dental, vision and life insurance • 401(k) plan with generous company matching contributions up to 6% • Financial advisory services • Potential company discretionary retirement contribution • Broad investment lineup • Tuition reimbursement up to $5,250/year • Business-casual environment with the option to wear jeans • Generous paid time off upon hire • Ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Paid parental leave • Paid short- and long-term disability • Family and Medical Leave (FMLA) • Business Resource Groups open to all • Flexible work environment • Other necessary computer equipment provided • Remote/hybrid home-work setup with reliable high-speed internet requirements

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