Senior Data Engineer

Workana is the largest remote work platform for talents in Latin America. Our new segment Workana focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated , and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.

We are proud to present you with the following opportunity.

About Our Client

Our client is reshaping the AdTech industry with a platform that uses real-time, consumer-approved data to power smarter advertising. Their solutions help businesses better understand their audiences, activate personalized campaigns, and measure performance. By focusing on privacy and transparency, they enable impactful marketing while offering financial benefits to consumers who share their data.

Role Overview

We're looking for a Senior Data Engineer who enjoys building powerful data systems and wants to make a real impact in advertising technology. In this role, you'll create and improve pipelines that handle large volumes of real-time data. You'll help turn this data into meaningful insights, target audiences more effectively, and campaign performance tracking.

If you love solving tough problems, working with cloud tools, and building systems that scale, this role is for you.

Responsibilities

• Design and build reliable data pipelines and ETL/ELT processes to move and transform data at scale.
• Use G tools like BigQuery, Spanner, and Dataflow to manage real-time and batch data.
• Work on systems that audience targeting, insights generation, and campaign analytics.
• Build and maintain APIs to connect data across different tools and teams.
• Tune databases and queries for high performance.
• Work with event-streaming tools such as Kafka or Pub/Sub to enable real-time processing.
• Monitor and troubleshoot data quality, speed, and reliability issues.
• Collaborate with engineers and analysts to improve how data is used across the company
  
  
  

Requirements

• 5+ years working with data engineering, big data, or similar roles.
• Strong SQL skills and hands-on experience with databases like BigQuery, Spanner, or equivalents.
• Proficiency with G services (Dataflow, Pub/Sub, Cloud Storage).
• Experience building ETL/ELT pipelines and working on data for analytics or targeting use cases.
• Experience with container tools like Docker and Kubernetes.
• Familiarity with event-streaming platforms (Kafka, Pub/Sub).
• Knowledge of data modeling, query optimization, and performance tuning.
• Proficient in at least one programming language used in data (e.g., Python, Go, or Java)
  
  
  

Benefits

Benefits

• Compensation in USD
• 100% Remote Work in Latin America
• Career Growth with international clients and cutting-edge projects