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Data Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "$/hour." Key skills include Python, SQL, ETL processes, and experience with Azure and AWS. Strong data transformation and cloud technology knowledge required.
๐ - Country
United States
๐ฑ - Currency
$ USD
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๐ฐ - Day rate
Unknown
-
๐๏ธ - Date
July 30, 2026
๐ - Duration
Unknown
-
๐๏ธ - Location
Unknown
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
United States
-
๐ง - Skills detailed
#"ETL (Extract #Transform #Load)" #MySQL #Integration Testing #Data Engineering #Databricks #Batch #Oracle #dbt (data build tool) #Databases #Azure cloud #Azure #Cloud #Python #Programming #Documentation #Azure SQL #SQL (Structured Query Language) #SQL Server #AWS (Amazon Web Services) #Data Mart #Scala #BI (Business Intelligence) #Big Data #Synapse #Data Lake
Role description
We are seeking a Data Engineer with experience in projects emphasizing complex data solutions.
This person will be responsible for supporting data transformation and distribution to end consumers. Candidate will assist with requirements analysis, design/develop process flow, and unit/integration testing, to deliver complex data products.
โข Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community
ยท Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.
โข Design and develop database objects, tables, stored procedures, views, etc.
โข Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases
โข Understands the concept of Data Marts and Data lakes and experience with migrating legacy systems to data marts/lake
โข Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)
โข Maintain comprehensive project documentation
ยท Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement.
ยท Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.
Experience Needed:
โข Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, DBT
โข Database platforms such as: Oracle, SQL Server, MySQL
โข Big data concepts and technologies such as Synapse & Databricks
โข AWS and Azure cloud computing
Employer
We are seeking a Data Engineer with experience in projects emphasizing complex data solutions.
This person will be responsible for supporting data transformation and distribution to end consumers. Candidate will assist with requirements analysis, design/develop process flow, and unit/integration testing, to deliver complex data products.
โข Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community
ยท Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.
โข Design and develop database objects, tables, stored procedures, views, etc.
โข Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases
โข Understands the concept of Data Marts and Data lakes and experience with migrating legacy systems to data marts/lake
โข Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)
โข Maintain comprehensive project documentation
ยท Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement.
ยท Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.
Experience Needed:
โข Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, DBT
โข Database platforms such as: Oracle, SQL Server, MySQL
โข Big data concepts and technologies such as Synapse & Databricks
โข AWS and Azure cloud computing
Employer






