Senior Data Engineer - Data Quality & Forensics (Hybrid)

Dermalogica LLC

San Francisco (CA)

Hybrid

USD 536,000 - 893,000

Full time

4 days ago
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Job summary

Dermalogica in Carson, CA is seeking a senior, hands-on data engineer for a six-month, full-time contract. The role focuses on investigating how complex systems actually work, fixing root causes, and implementing controls across ERP, e-commerce, and data warehousing environments.

Hybrid or remote with PT overlap are options, with compensation ranging from $70K to $80K for the engagement. You will inherit a backlog of data quality issues, audit SQL/ETL processes, and drive data integrity

Qualifications

  • 7+ years hands-on data engineering in production environments.
  • Strong depth in debugging data discrepancies across systems.
  • Experience with ERP data, e-commerce platforms, and data pipelines.
  • Ability to trace data end-to-end and fix root causes.

Responsibilities

  • Investigate and root-cause data discrepancies across source systems and warehouses.
  • Trace data end-to-end to understand transformations and rules producing incorrect results.
  • Own prioritized backlog from investigation through remediation and validation.
  • Audit SQL jobs, ETL processes, and dependencies for fragile behavior.
  • Identify and eliminate hardcoded rules and duplicated data.
  • Replace fragile manual processes with governed pipelines.
  • Build automated reconciliation and monitoring for data quality.
  • Document data lineage, dependencies, and ownership.

Skills

Data engineering
Analytical skills
Forensic problem solving
Communication with stakeholders
Independent work

Tools

Microsoft SQL Server
T-SQL
ETL processes
BigQuery
Cloud data warehousing

Job description

Dermalogica in Carson, CA is seeking a senior, hands-on data engineer for a six-month, full-time contract. The role focuses on investigating how complex systems actually work, fixing root causes, and implementing controls across ERP, e-commerce, and data warehousing environments.

Hybrid or remote with PT overlap are options, with compensation ranging from $70K to $80K for the engagement. You will inherit a backlog of data quality issues, audit SQL/ETL processes, and drive data integrity

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