Akkodis Group Nordics
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GCP Data Engineer
role at
Akkodis Group Nordics
Akkodis is seeking a
GCP Data Engineer
for a
Contract
with a client in
Lynchburg, VA (Remote) . You will develop and optimize data ingestion pipelines and models using Google BigQuery and Cloud Dataflow to support scalable analytics.
Rate Range:
$68/hour to $71/hour; negotiable based on experience, education, geographic location, and other factors.
Responsibilities
Design and implement scalable data ingestion pipelines using Google BigQuery, Cloud Dataflow, and Pub/Sub.
Optimize performance and develop data models to support efficient querying and analytics in BigQuery.
Automate workflows and orchestrate data processes using Airflow and CI/CD pipelines integrated with GitHub.
Collaborate with DevOps teams to ensure smooth deployment and monitoring of data solutions in GCP.
Write and maintain Python scripts for data transformation, validation, and integration tasks.
Ensure data reliability and system scalability while working in agile environments and responding to evolving business needs.
Qualifications
Bachelor’s or master’s degree in computer science, data engineering, or a related technical field.
Minimum 6–8 years of experience in data engineering with a focus on GCP technologies.
Expert‑level proficiency in Google BigQuery, including data ingestion, performance optimization, and data modeling.
Hands‑on experience with Cloud Dataflow, Pub/Sub, Python, Airflow, and CI/CD tools like GitHub and DevOps pipelines.
Pay Details: $68.00 to $71.00 per hour.
Benefit offerings include medical, dental, vision, life insurance, short‑term disability, additional voluntary benefits, EAP program, commuter benefits and a 401(k) plan. Compensation may include paid leave such as Paid Sick Leave and Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled. Military‑connected talent encouraged to apply.
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GCP Data Engineer
role at
Akkodis Group Nordics
Akkodis is seeking a
GCP Data Engineer
for a
Contract
with a client in
Lynchburg, VA (Remote) . You will develop and optimize data ingestion pipelines and models using Google BigQuery and Cloud Dataflow to support scalable analytics.
Rate Range:
$68/hour to $71/hour; negotiable based on experience, education, geographic location, and other factors.
Responsibilities
Design and implement scalable data ingestion pipelines using Google BigQuery, Cloud Dataflow, and Pub/Sub.
Optimize performance and develop data models to support efficient querying and analytics in BigQuery.
Automate workflows and orchestrate data processes using Airflow and CI/CD pipelines integrated with GitHub.
Collaborate with DevOps teams to ensure smooth deployment and monitoring of data solutions in GCP.
Write and maintain Python scripts for data transformation, validation, and integration tasks.
Ensure data reliability and system scalability while working in agile environments and responding to evolving business needs.
Qualifications
Bachelor’s or master’s degree in computer science, data engineering, or a related technical field.
Minimum 6–8 years of experience in data engineering with a focus on GCP technologies.
Expert‑level proficiency in Google BigQuery, including data ingestion, performance optimization, and data modeling.
Hands‑on experience with Cloud Dataflow, Pub/Sub, Python, Airflow, and CI/CD tools like GitHub and DevOps pipelines.
Pay Details: $68.00 to $71.00 per hour.
Benefit offerings include medical, dental, vision, life insurance, short‑term disability, additional voluntary benefits, EAP program, commuter benefits and a 401(k) plan. Compensation may include paid leave such as Paid Sick Leave and Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled. Military‑connected talent encouraged to apply.
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