

Senior Data Engineer - 100% Remote - Contract
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer contract position, 100% remote, offering $65 - $75 per hour. Key skills include Azure, Snowflake, Python, FastAPI, and experience with data pipelines and lakehouse technologies.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
-
ποΈ - Date discovered
September 3, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Data Lake #Data Lakehouse #Deployment #Python #Azure Blob Storage #FastAPI #Security #Storage #Docker #Snowflake #Cloud #Scala #Data Engineering #Data Pipeline #"ETL (Extract #Transform #Load)" #Azure
Role description
Akkodis is seeking a Sr. Data Engineer for a Contract position, and this is a 100% Remote role. Ideally looking for applicants with a solid background in Data Engineering, Azure, Snowflake, Python, and FastAPI.
Rate Range: $65 - $75 per hour. The salary may be negotiable based on experience, education, geographic location, and other factors.
Overview
We are looking for a skilled Data Engineer to design and maintain scalable data solutions leveraging modern cloud and lakehouse technologies. The role involves building secure, high-performance pipelines and enabling analytics across the organization.
Responsibilities
β’ Build and optimize data pipelines for ingestion, transformation, and storage.
β’ Work with Azure Blob Storage, Parquet files, Snowflake, and Iceberg tables to deliver scalable solutions.
β’ Develop APIs with FastAPI and integrate with downstream systems.
β’ Enable analytics and self-service reporting using Sigma Computing.
β’ Use PyIceberg/Polaris for data lakehouse integration.
β’ Manage deployments with Docker, Azure pipelines, and development tools (VS Code/Cursor).
β’ Implement Azure Gen 2 ADFS for security and access control.
Skills & Experience
β’ Proficiency in Python for data engineering.
β’ Hands-on experience with Snowflake, Azure Blob Storage, and Parquet.
β’ Knowledge of Iceberg tables and lakehouse frameworks.
β’ Experience with FastAPI development.
β’ Familiarity with Docker, Azure pipelines, and ADFS.
β’ Strong problem-solving and optimization skills.
If you are interested in this position, then please click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com. If you have questions about the position, please contact Narendra Pratap at (213) 410-5211 or narendra.pratap@akkodis.com
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records.
Akkodis is seeking a Sr. Data Engineer for a Contract position, and this is a 100% Remote role. Ideally looking for applicants with a solid background in Data Engineering, Azure, Snowflake, Python, and FastAPI.
Rate Range: $65 - $75 per hour. The salary may be negotiable based on experience, education, geographic location, and other factors.
Overview
We are looking for a skilled Data Engineer to design and maintain scalable data solutions leveraging modern cloud and lakehouse technologies. The role involves building secure, high-performance pipelines and enabling analytics across the organization.
Responsibilities
β’ Build and optimize data pipelines for ingestion, transformation, and storage.
β’ Work with Azure Blob Storage, Parquet files, Snowflake, and Iceberg tables to deliver scalable solutions.
β’ Develop APIs with FastAPI and integrate with downstream systems.
β’ Enable analytics and self-service reporting using Sigma Computing.
β’ Use PyIceberg/Polaris for data lakehouse integration.
β’ Manage deployments with Docker, Azure pipelines, and development tools (VS Code/Cursor).
β’ Implement Azure Gen 2 ADFS for security and access control.
Skills & Experience
β’ Proficiency in Python for data engineering.
β’ Hands-on experience with Snowflake, Azure Blob Storage, and Parquet.
β’ Knowledge of Iceberg tables and lakehouse frameworks.
β’ Experience with FastAPI development.
β’ Familiarity with Docker, Azure pipelines, and ADFS.
β’ Strong problem-solving and optimization skills.
If you are interested in this position, then please click APPLY NOW. For other opportunities available at Akkodis go to www.akkodis.com. If you have questions about the position, please contact Narendra Pratap at (213) 410-5211 or narendra.pratap@akkodis.com
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records.