

The Planet Group
Data Engineering Lead
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineering Lead with a contract length of over 6 months, offering a salary of $130,000 - $140,000. Key skills include Snowflake, DBT, Azure Data Factory, and SQL, with 7+ years in data engineering and 3+ years in leadership required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
636
-
ποΈ - Date
March 20, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Green Bay, WI
-
π§ - Skills detailed
#BI (Business Intelligence) #Data Warehouse #Automation #ADF (Azure Data Factory) #Leadership #Snowflake #Alteryx #Scala #Microsoft Power BI #dbt (data build tool) #SQL (Structured Query Language) #Azure Data Factory #Security #Tableau #Compliance #Data Integrity #"ETL (Extract #Transform #Load)" #Data Strategy #Azure #Data Engineering #Data Architecture #Strategy
Role description
This is a full time direct hire - NO C2C in any form
No Sponsorship Available
Onsite 5 days role
Salary Range $130,000 - $140,000
Data Engineering Manager
The Data Engineering Manager leads a team of Data Architects and Data Engineers while owning the data warehouse strategy and engineering roadmap. This role drives automation, scalability, and operational excellence across the data ecosystem and plays a key part in data strategy, intake prioritization, and enterprise alignment.
Key Responsibilities
β’ Set technical strategy for data engineering, architecture, pipelines, and automation
β’ Provide guidance across Snowflake, DBT, Azure Data Factory, and Alteryx
β’ Own and evolve the Snowflake data warehouse and engineering standards
β’ Partner with Analytics, IT, and Operations to eliminate data silos
β’ Lead project scoping, prioritization, and resource planning for a team of ~6
β’ Ensure data integrity, security, compliance, and strong governance
β’ Manage hiring, coaching, performance, and career development for the team
Required Qualifications
β’ Bachelorβs degree in a related field
β’ 7+ years in data engineering; 3+ years in leadership
β’ Strong expertise with Snowflake, DBT, Azure Data Factory, and SQL
β’ Proven ability to design scalable, enterprise?grade data solutions
β’ Strong leadership, communication, and organizational skills
β’ Fully on?site role
Preferred Qualifications
β’ Hands?on data engineering background
β’ Experience with large?scale transformations
β’ Familiarity with UiPath, Tableau, Power BI, and Salesforce
β’ Experience in regulated or enterprise environments
#GreenBay
#onsite
#TECH
This is a full time direct hire - NO C2C in any form
No Sponsorship Available
Onsite 5 days role
Salary Range $130,000 - $140,000
Data Engineering Manager
The Data Engineering Manager leads a team of Data Architects and Data Engineers while owning the data warehouse strategy and engineering roadmap. This role drives automation, scalability, and operational excellence across the data ecosystem and plays a key part in data strategy, intake prioritization, and enterprise alignment.
Key Responsibilities
β’ Set technical strategy for data engineering, architecture, pipelines, and automation
β’ Provide guidance across Snowflake, DBT, Azure Data Factory, and Alteryx
β’ Own and evolve the Snowflake data warehouse and engineering standards
β’ Partner with Analytics, IT, and Operations to eliminate data silos
β’ Lead project scoping, prioritization, and resource planning for a team of ~6
β’ Ensure data integrity, security, compliance, and strong governance
β’ Manage hiring, coaching, performance, and career development for the team
Required Qualifications
β’ Bachelorβs degree in a related field
β’ 7+ years in data engineering; 3+ years in leadership
β’ Strong expertise with Snowflake, DBT, Azure Data Factory, and SQL
β’ Proven ability to design scalable, enterprise?grade data solutions
β’ Strong leadership, communication, and organizational skills
β’ Fully on?site role
Preferred Qualifications
β’ Hands?on data engineering background
β’ Experience with large?scale transformations
β’ Familiarity with UiPath, Tableau, Power BI, and Salesforce
β’ Experience in regulated or enterprise environments
#GreenBay
#onsite
#TECH





