

Data Engineer (DBT/Snowflake/SQL)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (DBT/Snowflake/SQL) for a 12-month contract in downtown Cincinnati, OH. Key skills include Snowflake, DBT, and Advanced SQL. Candidates must be W2 eligible and have experience in data management and engineering.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 2, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Cincinnati, OH
-
π§ - Skills detailed
#dbt (data build tool) #Data Mining #Disaster Recovery #Cloud #Data Engineering #Data Architecture #SQL (Structured Query Language) #Data Science #Data Modeling #Snowflake #Data Management
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
CBTS has partnered with a client in the Cincinnati, OH area to identify a Data Engineer on a 12 month contract opening. This role will require full onsite in the downtown Cincinnati, OH area
β’ Candidates MUST BE W2 ELIGIBLE. Will not consider C2c/3rd party/margin share resources at this current time!
Key technical skills include: Snowflake, DBT, Cloud, Advanced SQL skills
Primary Responsibilities:
β’ Design, construct, install, test and maintain data management systems.
β’ Ensure that all systems meet the business/company requirements as well as industry practices.
β’ Integrate up-and-coming data management and software engineering technologies into existing data structures.
β’ Develop set processes for data mining, data modeling, and data production.
β’ Create custom software components and analytics applications.
β’ Research new uses for existing data.
β’ Employ an array of technological languages and tools to connect systems together.
β’ Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the projectβs goals.
β’ Install/update disaster recovery procedures.
β’ Recommend different ways to constantly improve data reliability and quality.