

Oreva Technologies, Inc.
Data Engineer - W2
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-12 month contract at $55/hr, 100% remote. Requires 5+ years of Azure MySQL experience, strong Python skills, and proficiency in ETL/ELT pipeline development. Full-time conversion possible at $125k.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
440
-
ποΈ - Date
February 28, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Scripting #Security #Azure Data Factory #Azure #Database Administration #Automation #Data Engineering #Migration #"ETL (Extract #Transform #Load)" #AWS Glue #Talend #Cloud #Databases #Scala #AWS (Amazon Web Services) #ADF (Azure Data Factory) #MySQL #Data Migration #SQL (Structured Query Language) #SSIS (SQL Server Integration Services) #Fivetran #Informatica #Data Pipeline #Compliance #Python
Role description
Role - Data Engineer
Rate:$55/hr w2 ony
$125k β if converted full time- with some flex
6-12 month contract β possible full time conversion
100% remote- can be seated in any time zone but likely to work mostly est hours
Client-Harbor Compliance- only share client name with interested parties
Our client is seeking a Mid/Sr. Level Data Engineer to design, build, and maintain their critical data infrastructure. This role is a handsβon Data Engineer supporting both dayβtoβday production needs and projectβbased initiatives, with a strong emphasis on MySQL optimization, cloud databases, and data migrations. The position owns the development of scalable ETL/ELT data pipelines and the administration of core analytical databases, ensuring performance, security, and reliability. Initial priorities center on integrating newly acquired customer data, requiring strong expertise in both data transformation and database administration.
Required Skills:
β’ 5+ years of experience with Azure MySQL Flexible Server, including hands-on administration in production environments
β’ Deep, real-world MySQL expertise, with proven ability to optimize queries and schemas and troubleshoot complex production database issues
β’ Proven experience administering, tuning, optimizing, and modernizing cloud-based MySQL environments
β’ Strong proficiency in Python for data scripting, automation, and pipeline development
β’ Proven experience designing, building, and deploying scalable ETL/ELT data pipelines using Python, SQL, and Azure Data Factory, integrating data from APIs, transactional databases, and flat files
β’ Deep understanding of ETL/ELT concepts and tools, including Azure Data Factory, SSIS, Informatica, Talend, AWS Glue, or Fivetran
Manvi Sharma
Sr. Technical Recruiter
https://www.linkedin.com/in/manvi-sharma-53b499201/
Role - Data Engineer
Rate:$55/hr w2 ony
$125k β if converted full time- with some flex
6-12 month contract β possible full time conversion
100% remote- can be seated in any time zone but likely to work mostly est hours
Client-Harbor Compliance- only share client name with interested parties
Our client is seeking a Mid/Sr. Level Data Engineer to design, build, and maintain their critical data infrastructure. This role is a handsβon Data Engineer supporting both dayβtoβday production needs and projectβbased initiatives, with a strong emphasis on MySQL optimization, cloud databases, and data migrations. The position owns the development of scalable ETL/ELT data pipelines and the administration of core analytical databases, ensuring performance, security, and reliability. Initial priorities center on integrating newly acquired customer data, requiring strong expertise in both data transformation and database administration.
Required Skills:
β’ 5+ years of experience with Azure MySQL Flexible Server, including hands-on administration in production environments
β’ Deep, real-world MySQL expertise, with proven ability to optimize queries and schemas and troubleshoot complex production database issues
β’ Proven experience administering, tuning, optimizing, and modernizing cloud-based MySQL environments
β’ Strong proficiency in Python for data scripting, automation, and pipeline development
β’ Proven experience designing, building, and deploying scalable ETL/ELT data pipelines using Python, SQL, and Azure Data Factory, integrating data from APIs, transactional databases, and flat files
β’ Deep understanding of ETL/ELT concepts and tools, including Azure Data Factory, SSIS, Informatica, Talend, AWS Glue, or Fivetran
Manvi Sharma
Sr. Technical Recruiter
https://www.linkedin.com/in/manvi-sharma-53b499201/






