<p>We are looking for a Power BI Developer to support a contract engagement. In this role, you will design and deliver Power BI reporting solutions that transform complex ServiceNow data into clear, actionable insights for identity and access management stakeholders. This opportunity is ideal for someone who can work independently, solve challenging data issues, and communicate effectively with both technical teams and business partners.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain Power BI dashboards and reports that present operational and business data in a clear, usable format.</p><p>• Analyze ServiceNow data structures, including tables, fields, relationships, and endpoints, to identify the most effective reporting approach.</p><p>• Extract, cleanse, transform, and model data from ServiceNow for accurate and scalable reporting solutions.</p><p>• Recreate key reporting logic and functional outcomes from an existing reference report while adapting them to a different source system.</p><p>• Investigate complex data issues across multiple systems and resolve technical challenges with minimal oversight.</p><p>• Partner with security, identity and access, and operations teams to gather reporting needs and refine deliverables.</p><p>• Communicate project risks, dependencies, access limitations, and roadblocks in a timely and proactive manner.</p><p>• Document report logic, data sources, and development decisions to support transparency and long-term usability.</p>
<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>
We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology.<br><br>Responsibilities:<br>• Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use.<br>• Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting.<br>• Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability.<br>• Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency.<br>• Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture.<br>• Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets.<br>• Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.