Senior Data Engineer (AdTech)

Job Description

Workana is the largest remote work platform for talents in Latin America. Our new segment Workana Premium focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated support, 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:

The client is redefining the AdTech landscape with its innovative platform that leverages real-time, consumer-permissioned data to drive actionable outcomes. Their solutions empower businesses to tap into rich insights, customizable audience segments, and measurable results, creating a transparent and efficient ecosystem for advertisers. Through their platform's three core products—Insights, Activation, and Measurement—they equip businesses with the tools to unlock the full potential of first-party data while enabling consumers to benefit from equitable financial opportunities. By connecting businesses with high-quality, permissioned data, they deliver impactful campaigns and measurable ROI.

Role Overview:

As a Senior Data Engineer, you will play a critical role in advancing the AdTech platform, enabling businesses to harness consumer-permissioned data for insights, audience activation, and performance measurement. You’ll design and implement scalable data solutions that process and integrate vast volumes of real-time data, supporting the platform’s mission to deliver precise targeting and impactful advertising outcomes. This role is ideal for engineers excited about the intersection of data engineering and advertising technology, who thrive on solving complex challenges and building efficient systems in a mission-driven environment.

Responsibilities:

• Build and optimize data pipelines and ETL/ELT processes to support AdTech products: Insights, Activation, and Measurement.
• Leverage GCP tools like BigQuery, SpannerDB, and Dataflow to process and analyze real-time consumer-permissioned data.
• Design scalable and robust data solutions to power audience segmentation, targeted advertising, and outcome measurement.
• Develop and maintain APIs to facilitate data sharing and integration across the platform’s products.
• Optimize database and query performance to ensure efficient delivery of advertising insights and analytics.
• Work with event-driven architectures using tools like Pub/Sub or Kafka to ensure seamless data processing across products.
• Proactively monitor and troubleshoot issues to maintain data accuracy, security, and performance.
• Drive innovation by identifying opportunities to enhance the platform’s capabilities in audience targeting and measurement.

Requirements

• 6+ years of experience in data engineering or related roles, preferably within the AdTech industry.
• Expertise in SQL and experience with relational databases such as BigQuery and SpannerDB or similar.
• Experience with GCP services, including Dataflow, Pub/Sub, and Cloud Storage.
• Experience building and optimizing ETL/ELT pipelines in support of audience segmentation and analytics use cases.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Familiarity with message queues or event-streaming tools, such as Kafka or Pub/Sub.
• Knowledge of data modeling, schema design, and query optimization for performance at scale.
• Programming experience in languages like Python, Go, or Java for data engineering tasks

Benefits

• Compensation in USD
• Fully remote work
• Challenging project - one of the first of that kind in the region
• Growth and Learning Opportunity