

Sr. Data Engineer - 100% Remote - Contract to Hire (C2H)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer, 100% Remote, Contract to Hire, offering $65-$75 per hour. Requires 7+ years in data engineering, proficiency in Python, SQL (Snowflake preferred), Azure/AWS, and experience with event-driven architectures and medallion architecture.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
-
ποΈ - Date discovered
August 9, 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
#SQL (Structured Query Language) #Storage #AWS Lambda #Security #Azure #Kafka (Apache Kafka) #Delta Lake #Python #Cloud #DevOps #Data Pipeline #Snowflake #Data Science #Data Quality #Data Lake #Data Engineering #AWS (Amazon Web Services) #Scala #Lambda (AWS Lambda) #Apache Iceberg #Azure Service Bus #Data Lakehouse #Data Processing
Role description
Akkodis is seeking a Sr. Data Engineer for a Contract to Hire position, and this is a 100% Remote role. Ideally looking for applicants with a solid background in Data Engineering, Python, AWS/Azure, and SQL.
Rate Range: $65-$75 per hour. The salary may be negotiable based on experience, education, geographic location, and other factors.
Key Responsibilities:
β’ Design, develop, and maintain robust data pipelines using Python and SQL/Snowflake.
β’ Implement scalable and efficient event-driven architecture using services like Azure Event Grid, Event Hubs.
β’ Work with messaging queues (e.g., Kafka, Azure Service Bus) to enable real-time data processing.
β’ Build and optimize data lakes and warehouses on Azure (Data Lake Gen2, Data Factory).
β’ Apply the medallion architecture (Bronze, Silver, Gold layers) to organize and optimize data processing workflows.
β’ Ensure data quality, governance, and security through best practices and tooling.
β’ Collaborate with data scientists, analysts, and other stakeholders to support their data needs.
β’ Monitor and optimize performance of data pipelines and storage solutions.
Required Skills and Qualifications:
β’ 7+ years of experience in data engineering or a similar role.
β’ Proficiency in Python and strong SQL skills (Snowflake preferred).
β’ Hands-on experience with Azure (preferred) or AWS cloud services.
β’ Experience building event-driven pipelines using tools such as Azure Event Grid, Azure Functions, Kafka, or AWS Lambda.
β’ Strong understanding of messaging systems and stream processing.
β’ Familiarity with implementing medallion architecture in data lakehouses.
β’ Experience with Delta Lake, Apache Iceberg, or other open table formats.
β’ Experience with CI/CD and DevOps practices for data workflows.
β’ Strong analytical and problem-solving 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 to Hire position, and this is a 100% Remote role. Ideally looking for applicants with a solid background in Data Engineering, Python, AWS/Azure, and SQL.
Rate Range: $65-$75 per hour. The salary may be negotiable based on experience, education, geographic location, and other factors.
Key Responsibilities:
β’ Design, develop, and maintain robust data pipelines using Python and SQL/Snowflake.
β’ Implement scalable and efficient event-driven architecture using services like Azure Event Grid, Event Hubs.
β’ Work with messaging queues (e.g., Kafka, Azure Service Bus) to enable real-time data processing.
β’ Build and optimize data lakes and warehouses on Azure (Data Lake Gen2, Data Factory).
β’ Apply the medallion architecture (Bronze, Silver, Gold layers) to organize and optimize data processing workflows.
β’ Ensure data quality, governance, and security through best practices and tooling.
β’ Collaborate with data scientists, analysts, and other stakeholders to support their data needs.
β’ Monitor and optimize performance of data pipelines and storage solutions.
Required Skills and Qualifications:
β’ 7+ years of experience in data engineering or a similar role.
β’ Proficiency in Python and strong SQL skills (Snowflake preferred).
β’ Hands-on experience with Azure (preferred) or AWS cloud services.
β’ Experience building event-driven pipelines using tools such as Azure Event Grid, Azure Functions, Kafka, or AWS Lambda.
β’ Strong understanding of messaging systems and stream processing.
β’ Familiarity with implementing medallion architecture in data lakehouses.
β’ Experience with Delta Lake, Apache Iceberg, or other open table formats.
β’ Experience with CI/CD and DevOps practices for data workflows.
β’ Strong analytical and problem-solving 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.