Staff Data & Analytics Engineer

Yoh, A Day & Zimmermann Company; San Diego (CA); Remote; USD 92,000 - 131,000; Full time

Benefits offered by this job

Medical & Dental

Vision

Health Savings Account

Life Insurance

Disability Insurance

401K

Job summary

Yoh, A Day & Zimmermann Company is seeking a Contract Staff Data & Analytics Engineer in San Diego, CA, with remote eligibility. You will design and optimize scalable data pipelines and analytics solutions for enterprise Supply Chain and Manufacturing, building lakehouse architectures with Databricks and Delta Lake.

The role emphasizes governance, semantic modeling, standardized metrics, and collaboration with business and technical stakeholders to deliver reusable data products and analytics

Qualifications

• 8+ years of experience in Data Engineering, Analytics or Data Architecture.
• Hands-on with Databricks, SQL, Python/PySpark, Delta Lake.
• Dimensional and semantic modeling for lakehouse architectures.
• Bronze/Silver/Gold data pipelines and enterprise data integration.

Responsibilities

• Design, develop, and optimize scalable data pipelines and analytics for enterprise Supply Chain and Manufacturing.
• Lead data discovery, integration, and transformation across complex systems.
• Develop enterprise data models and reusable data products for reporting and analytics.
• Build lakehouse architectures using Databricks and Delta Lake with Bronze/Silver/Gold layers.

Skills

Databricks

SQL

Python/PySpark

Delta Lake

Bronze/Silver/Gold

ERP integration

Data modeling

Tools

Databricks

SQL

Python

PySpark

Delta Lake

Job description

This contract Staff Data & Analytics Engineer role supports enterprise Supply Chain and Manufacturing teams by designing and optimizing scalable data pipelines and analytics solutions. Based in San Diego, CA with remote eligibility, the position focuses on building reliable lakehouse-based architectures and turning operational needs into reusable data products.

You will work across complex business systems and data sources, leading data discovery, integration, and transformation efforts. The engagement also emphasizes standardized metrics, semantic modeling, and governance practices to improve consistency, accessibility, and reliability across reporting and analytics.

Responsibilities

• Design, develop, and optimize scalable data pipelines and analytics solutions for enterprise Supply Chain and Manufacturing operations.
• Lead data discovery, integration, and transformation across complex business systems and data sources.
• Develop and maintain enterprise data models, curated datasets, and reusable data products for reporting and analytics.
• Build and enhance lakehouse architectures using Databricks and Delta Lake with Bronze/Silver/Gold data layers.
• Integrate data from enterprise platforms including ERP, PLM, MES, and MRP systems.
• Establish data modeling, governance, and quality standards to improve data consistency, accessibility, and reliability.
• Partner with business and technical stakeholders to translate operational requirements into scalable data solutions.
• Support development of standardized metrics, semantic models, and analytics frameworks across business functions.

Requirements

• 8+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or Data Architecture.
• Strong hands-on experience with Databricks, SQL, Python/PySpark, and Delta Lake.
• Expertise in dimensional data modeling, semantic modeling, and modern lakehouse architectures.
• Experience designing and implementing Bronze/Silver/Gold data pipelines and transformation frameworks.
• Experience integrating enterprise systems such as ERP, PLM, MES, or MRP.
• Strong understanding of Supply Chain, Manufacturing, or Procurement business processes and related data.
• Experience developing reliable, scalable, and well-governed enterprise data solutions.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate across technical and business teams.

Technologies

• Databricks
• SQL
• Python
• PySpark
• Delta Lake
• ERP
• PLM
• MES
• MRP
• Bronze
• Silver
• Gold

Preferred Qualifications

• Experience supporting aerospace, defense, advanced manufacturing, or other regulated industries.
• Experience developing enterprise data products for Supply Chain, Manufacturing, or Procurement analytics.
• Familiarity with data governance, data quality frameworks, and enterprise data architecture best practices.

Benefits

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Location: San Diego, CA (remote)

Type: Contract

Compensation: $80-$95/hour (estimated min $66.50, estimated max $95.00)