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# Data Engineer

- **Company:** Motion Recruitment
- **Location:** Poway, CA, United States
- **Contract:** Temporary to permanent
- **Skills:** Airflow, Backup Devices, Information Systems, Data Validation, Extract Transform Load (ETL), Data Transformation, Software Debugging, Operational Databases, Information Technology, Qlikview, Data Pipelines, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75901949-data-engineer

## About the Role

* Education: Bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, a related quantitative discipline, or equivalent hands-on experience maintaining production data pipelines and BI systems (advanced degree not required).
 * Advanced proficiency in SQL for data transformation, querying, and analytical modeling.
 * Hands-on engineering experience within cloud data lake or lakehouse architectures (such as Databricks or equivalent platforms).
 * Proven track record owning, deploying, and maintaining enterprise BI dashboards (Qlik strongly preferred, though other enterprise BI platforms will be considered).
 * Strong background in ETL and data pipeline troubleshooting, with demonstrated success managing schema drift, resolving dependency and race-condition issues, and enforcing data quality checks.
 * Ability to work autonomously and debug live production environments under time constraints, even when working with evolving or incomplete documentation.
 * Strong written and verbal communication skills, with the ability to bridge technical conversations between data science teams and non-technical business planning partners., * Domain familiarity with workforce management or contact center analytics (such as handle-rate definitions, forecast vs. actual performance metrics, and capacity planning).
 * Hands-on experience with modern pipeline orchestration frameworks (such as Superglue, Airflow, or comparable tools).
 * Prior background navigating technical handoffs, data migrations, or asset ownership transfers.

## Description

* Take full end-to-end ownership of demand-side Qlik reporting dashboards and underlying Superglue data orchestration pipelines, managing pipeline logic, schema design, and runbook documentation.
 * Validate pipeline datasets against baseline standards during operational transitions, quickly identifying and resolving any reporting discrepancies.
 * Triage and remediate defects during regular DEFT meetings, serving as the frontline escalation point for owned data assets.
 * Establish mutual coverage by cross-training with and backing up the supply-side pipeline owner to ensure seamless business continuity.
 * Catalog and track tool reliability gaps across adjacent capacity-planning applications, building structured defect inventories to drive system-wide improvements.
 * Investigate and resolve complex production anomalies, including pipeline race conditions, disputed handle-rate metric definitions, and downstream access-tagging issues.
 * Collaborate closely with data science and analytics partners to execute thorough knowledge transfers, lineage mapping, and technical handoffs.