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About MonetizeMore
MonetizeMore is a global leader in ad tech, helping publishers maximize their ad revenue through advanced optimization, data, and automation. Our fully remote team is distributed across the world, driven by innovation, autonomy, and measurable impact.
Role Overview
We are looking for a Data Infrastructure Engineer to design, build, and maintain scalable data systems that support analytics, machine learning, and business intelligence at MonetizeMore. You will collaborate closely with data engineers, analysts, and product teams to ensure our data pipelines are reliable, efficient, and secure.
In addition to core data infrastructure responsibilities, you will occasionally work on Airflow DAGs and orchestration tasks, supporting our data workflow automation initiatives.
Key Responsibilities
Design, implement, and maintain scalable, high-performance data infrastructure
Manage the data pipelines using Apache Airflow for orchestration and scheduling
Develop and deploy data services and tools using Kubernetes and containerized environments
Leverage AWS services (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration
Ensure reliability, performance, and cost efficiency of data systems
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems
Implement monitoring, logging, and alerting for all critical data infrastructure components
Champion best practices in data security, governance, and DevOps for data workflows
Qualifications
Required
1-2 years of experience in data infrastructure roles
Strong proficiency with Python and SQL
Solid understanding of AWS data and compute services (S3, Athena, ECS/EKS, etc.)
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar)
Experience with containerization (Docker)
Strong problem-solving and debugging skills
Experience with transactional database maintenance. Preferred: Postgres
Preferred
Knowledge of data warehousing tools like Athena, or BigQuery
Experience managing workflows with Apache Airflow
Hands‑on experience deploying and maintaining workloads on Kubernetes
Familiarity with real‑time data streaming (Kafka, Kinesis, etc.)
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack)
Why MonetizeMore
100% remote, flexible work environment
Work with cutting‑edge ad tech and data systems
Collaborative, globally distributed team
Opportunities for growth and ownership
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Internet Publishing
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