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1 result for Data Engineer in Salt Lake City, UT
- Lehi, UT
- remote
- Permanent / Full Time
- 160000 - 180000 USD / Yearly
- <p>Staff Database Engineer</p><p>This Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on <strong>Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability</strong>. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.</p><p>What You'll Do</p><ul><li>Lead <strong>large-scale database migrations involving TB+ datasets</strong>, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing <strong>Couchbase workloads</strong> and determine whether they should remain on Couchbase or migrate to <strong>DynamoDB, DocumentDB, or another database platform</strong> based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot <strong>Couchbase XDCR or comparable replication technologies</strong>, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex <strong>multi-tenant environments</strong> with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within <strong>AWS</strong>, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support <strong>ETL/ELT pipelines feeding Snowflake or similar modern data platforms</strong>, including data validation, backfills, recovery, and troubleshooting.</li><li>Use <strong>Python and SQL</strong> for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of <strong>production database incidents</strong>, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using <strong>Datadog, CloudWatch, Azure Monitor, or similar observability tools</strong>.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul><p><br></p>
- 2026-10-09T00:00:00Z