Remote Lead Data Engineer - Data Platform & Vault

Redwood Logistics LLC

Northern (KY)

Hybrid

USD 135,000 - 155,000

Full time

7 days ago
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Benefits offered by this job

Learning & Development
Internal mobility
Employee referral bonus
ERGs
Volunteer events
PTO & holidays
Parental leave
Medical, dental, vision & 401k
Flexible spending account
Health savings account
Disability & life insurance
Pet insurance

Job summary

Redwood Logistics is seeking a Lead Data Engineer to lead a team of data engineers in designing, developing, and maintaining scalable data pipelines, a data vault, and multiple data warehouses and marts. You will work with stakeholders across departments to deliver key metrics and help define data strategy.

The role emphasizes mentorship, sprint planning, and collaboration, with a focus on modern data architectures and reliable data delivery across North America and Mexico.

Qualifications

  • Bachelor's Degree required (or equivalent experience)
  • 8+ years of technology experience with data engineering and analytics
  • Strong SQL development and performance tuning skills

Responsibilities

  • Lead and mentor a team of data engineers
  • Manage backlog grooming, sprint planning, and prioritization for data projects
  • Collaborate with stakeholders to set and execute data strategy
  • Design, develop, and maintain data pipelines from various sources
  • Develop and maintain Data Vault, Data Warehouse, and Data Marts to deliver metrics
  • Ensure data accuracy, reliability, and monitoring processes

Skills

SQL development
Python
AWS
Snowflake

Education

Bachelor's degree

Tools

Data Vault 2.0
Fivetran
Azure Data Factory
REST API
AWS/Azure/Google Cloud
Coalesce.io
YAML
Git / CI/CD

Job description

Redwood Logistics is seeking a Lead Data Engineer to lead a team of data engineers in designing, developing, and maintaining scalable data pipelines, a data vault, and multiple data warehouses and marts. You will work with stakeholders across departments to deliver key metrics and help define data strategy.

The role emphasizes mentorship, sprint planning, and collaboration, with a focus on modern data architectures and reliable data delivery across North America and Mexico.

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