

BayOne Solutions
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 12-month contract (W2) in Memphis, TN or Dallas, TX, offering $51/hr. Key skills include Azure Data Factory, Snowflake, ETL processes, and cloud data architecture. Remote work is possible as needed.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
408
-
ποΈ - Date
June 17, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Memphis, TN
-
π§ - Skills detailed
#Fivetran #Data Ingestion #Monitoring #Scala #Microsoft SQL #SQL (Structured Query Language) #Azure #Data Integrity #Data Architecture #DevOps #Azure Data Factory #.Net #Microsoft SQL Azure #ADLS (Azure Data Lake Storage) #Snowflake #Data Mapping #GIT #Storage #Azure DevOps #Data Engineering #Data Integration #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #ADF (Azure Data Factory) #Batch #Oracle
Role description
Job Title: Data Engineer
Job Location: Memphis, TN/ Dallas, TX
Job Duration: 12 Months on W2 (Contract to Hire)
Payrate: $51/hr
Note: This is a W2 opening. Candidate looking for C2C roles do not apply for this.
Job Description:
β’
β’ This position is Contract to Hire and Open to Memphis, Dallas (preferred) and Open to Remote (as needed)
β’
β’ Job Profile Summary/Primary Purpose:
To develop, maintain, test and debug software and data integration solutions to meet generally defined requirements in both traditional and cloud-based environments utilizing software development languages, modern data platforms, and tools such as PL/SQL, Oracle, .Net, Microsoft SQL, Azure Data Factory, Snowflake, and related technologies; to formulate and define system scope and objectives through research and fact-finding for the purpose of developing or modifying moderately complex information systems and data pipelines; to prepare detailed specifications from which programs and data processes will be written; and to design, build, test, debug, document and maintain scalable applications and data solutions, including ETL/ELT processes, leveraging modern cloud data platforms.
Skills:
Managerβs Notes:
Experience with Azure Data Factory (ADF) and ADLS for cloud-based data pipelines and storage
Strong knowledge of Snowflake architecture (streams, tasks, pipeline processing)
Experience with data ingestion tools (Fivetran, HVR) and transformation using dbtLabs
Understanding of batch and near real-time data integration patterns
Ability to design and support scalable cloud data architecture
Experience with Git, CI/CD, and Azure DevOps within data engineering workflows
Experience documenting ETL designs, data mappings, and architecture
Focus on data integrity, governance, lineage, and production support (monitoring and performance tuning)
Job Title: Data Engineer
Job Location: Memphis, TN/ Dallas, TX
Job Duration: 12 Months on W2 (Contract to Hire)
Payrate: $51/hr
Note: This is a W2 opening. Candidate looking for C2C roles do not apply for this.
Job Description:
β’
β’ This position is Contract to Hire and Open to Memphis, Dallas (preferred) and Open to Remote (as needed)
β’
β’ Job Profile Summary/Primary Purpose:
To develop, maintain, test and debug software and data integration solutions to meet generally defined requirements in both traditional and cloud-based environments utilizing software development languages, modern data platforms, and tools such as PL/SQL, Oracle, .Net, Microsoft SQL, Azure Data Factory, Snowflake, and related technologies; to formulate and define system scope and objectives through research and fact-finding for the purpose of developing or modifying moderately complex information systems and data pipelines; to prepare detailed specifications from which programs and data processes will be written; and to design, build, test, debug, document and maintain scalable applications and data solutions, including ETL/ELT processes, leveraging modern cloud data platforms.
Skills:
Managerβs Notes:
Experience with Azure Data Factory (ADF) and ADLS for cloud-based data pipelines and storage
Strong knowledge of Snowflake architecture (streams, tasks, pipeline processing)
Experience with data ingestion tools (Fivetran, HVR) and transformation using dbtLabs
Understanding of batch and near real-time data integration patterns
Ability to design and support scalable cloud data architecture
Experience with Git, CI/CD, and Azure DevOps within data engineering workflows
Experience documenting ETL designs, data mappings, and architecture
Focus on data integrity, governance, lineage, and production support (monitoring and performance tuning)






