

Akkodis
Data Engineer - 100% Remote - C2H
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer, 100% remote, with a contract-to-hire duration. Pay ranges from $70-$80 per hour. Requires 6+ years of experience, proficiency in Python, SQL, and knowledge of Lakehouse architecture, DBT, Kafka, and Dagster/Airflow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
February 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Airflow #Documentation #Spark (Apache Spark) #Azure #Data Engineering #GIT #Automation #Monitoring #Kafka (Apache Kafka) #Databricks #Data Lake #Datasets #Python #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #dbt (data build tool) #SQL (Structured Query Language) #Data Pipeline
Role description
Akkodis is seeking a Data Engineer for a Contract to Hire (C2H) position, and this is a 100% Remote role. Ideally, the client is looking for applicants with a solid background in Python, Lakehouse, Iceberg, DBT, Kafka, and Dagster/Airflow.
Rate Range: $70-$80 per hour. The rate may be negotiable based on experience, education, geographic location, and other factors.
Responsibilities
• Build and support data pipelines that ingest, transform, and publish data for analytics and data products.
• Develop well-structured datasets using modern modeling and testing practices (e.g., dbt).
• Orchestrate and monitor workflows using tools like Dagster (or similar).
• Improve reliability through automation, testing, documentation, monitoring, and operational best practices.
• Partner with engineers and stakeholders to understand needs and deliver high-quality data solutions
Qualifications
• 6+ years of experience in data engineering, analytics engineering, software engineering, or a related role (or equivalent practical experience).
• Experience with Python and SQL in production environments.
• Experience with or strong interest in learning Azure and Databricks.
• Experience with or strong interest in learning Dagster and dbt.
• Understanding of Lakehouse/data lake architecture concepts and how data is curated for analytics use cases.
• Strong communication skills and ability to work effectively with cross-functional teams.
Preferred Qualifications
• Experience with AI-assisted software engineering.
• Experience with Spark-based processing, Lakehouse table formats, and performance optimization.
• Familiarity with CI/CD, Git-based workflows, and production support/on-call practices.
If you are interested in this position, 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 Data Engineer for a Contract to Hire (C2H) position, and this is a 100% Remote role. Ideally, the client is looking for applicants with a solid background in Python, Lakehouse, Iceberg, DBT, Kafka, and Dagster/Airflow.
Rate Range: $70-$80 per hour. The rate may be negotiable based on experience, education, geographic location, and other factors.
Responsibilities
• Build and support data pipelines that ingest, transform, and publish data for analytics and data products.
• Develop well-structured datasets using modern modeling and testing practices (e.g., dbt).
• Orchestrate and monitor workflows using tools like Dagster (or similar).
• Improve reliability through automation, testing, documentation, monitoring, and operational best practices.
• Partner with engineers and stakeholders to understand needs and deliver high-quality data solutions
Qualifications
• 6+ years of experience in data engineering, analytics engineering, software engineering, or a related role (or equivalent practical experience).
• Experience with Python and SQL in production environments.
• Experience with or strong interest in learning Azure and Databricks.
• Experience with or strong interest in learning Dagster and dbt.
• Understanding of Lakehouse/data lake architecture concepts and how data is curated for analytics use cases.
• Strong communication skills and ability to work effectively with cross-functional teams.
Preferred Qualifications
• Experience with AI-assisted software engineering.
• Experience with Spark-based processing, Lakehouse table formats, and performance optimization.
• Familiarity with CI/CD, Git-based workflows, and production support/on-call practices.
If you are interested in this position, 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.






