

Data Engineer - W2
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 12-month+ W2 contract, fully remote (East Coast preferred). Key skills include strong SQL, ETL experience in large-scale environments, and data visualization proficiency with tools like Tableau and Power BI. Industry experience in healthcare is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
July 3, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Secaucus, NJ
-
π§ - Skills detailed
#SQL (Structured Query Language) #BI (Business Intelligence) #Scripting #Complex Queries #Amazon QuickSight #"ETL (Extract #Transform #Load)" #Visualization #Microsoft Power BI #Data Engineering #Matillion #Snowflake #Tableau #Data Integrity #Informatica
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Location: Fully Remote (Anywhere in US, East coast is preferred)
Type: 12 months+ contract on W2
Industry: Healthcare
Summary:
Our client is a large Implementation Partner, contracted to manage and provide full technology spectrum for a leading HealthCare company. We are looking to urgently fill multiple positions on a Data Engineer role, fully remote and reporting into the East Coast time.
Key Skills:
β’ SQL Scripting - need very strong SQL skills, should be able to create complex queries to develop meaningful insights from huge amounts of data.
β’ ETL - Strong ETL skills, should have worked in a large scale data environment, optimizing performance and data integrity. Tools such as Matillion, Snowflake, Informatica etc are good to have.
β’ Data Visualization - developing actionable graphical insights and reports using tools like Amazon QuickSight, Tableau, Power BI etc.