Google Cloud Storage Developer Jobs

1 job found

6d ago

Senior Data Engineer

Advantage Technical Chicago, IL

Chicago, IL

6d ago

$55 - $64/hr Full time Senior Apache Airflow Big Data

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Job Description

Advantage Technical offers a collaborative, data-driven environment where your work directly informs business decisions. The Senior Data Engineer will build scalable data pipelines on Google Cloud Platform with a focus on BigQuery and SQL, partnering with analytics and data science teams to unlock actionable insights. This role is based in Chicago and onsite four days per week, with an hourly rate of $55 to $64.

You will work with Google Cloud Platform services including BigQuery, Composer, Dataflow, GCS, and DataStream, along with SQL, Python, Airflow, Kafka, Spark, and Pub/Sub.

Benefits

Medical, dental, vision, and pet insurance
401(k) Retirement Savings Plans
Employee Assistance Program (EAP)
Commuter/Parking Accounts
People Perks
Health Savings Account (HSA)
AD&D Insurance

Responsibilities

Design, build, and maintain high-performance data pipelines and ETL workflows
Create and optimize data models, semantic layers, and cloud-based data solutions
Develop REST APIs and support data integration initiatives
Improve pipeline performance, scalability, reliability, and data quality
Establish CI/CD processes for data products and deployments
Troubleshoot complex data engineering and ingestion issues
Document data architecture, lineage, and operational processes
Collaborate with stakeholders across IT, reporting, product, and business teams
Mentor junior data engineers and support Agile development practices

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical field
6+ years of data engineering experience for Senior-level opportunities
Experience with Google Cloud Platform (GCP), including BigQuery, Composer, Dataflow, GCS, and DataStream
Advanced SQL skills and strong Python programming experience
Experience with Airflow, Kafka, Spark, Pub/Sub, or similar technologies
Strong knowledge of data warehousing, ETL pipelines, and cloud architecture
Excellent communication and problem-solving skills

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