Data Infrastructure Engineer

Monetize More Inc; Faisalabad; Remote; PKR 16,953,000 - 22,606,000; Full time

Job summary

A global ad tech leader is seeking a Data Infrastructure Engineer to design and maintain scalable data systems. This role involves collaboration with cross-functional teams and managing data pipelines with tools like Apache Airflow and AWS. Ideal candidates will have experience in Python, SQL, and data infrastructure. Enjoy a 100% remote work environment and opportunities for personal growth.

Benefits

100% remote, flexible work environment

Opportunities for growth and ownership

Qualifications

• 1-2 years of experience in data infrastructure roles.
• Solid understanding of AWS data and compute services.
• Experience in CI/CD and infrastructure-as-code.

Responsibilities

• Design, implement, and maintain scalable data infrastructure.
• Manage the data pipelines using Apache Airflow.
• Develop and deploy data services using Kubernetes.

Skills

Python

SQL

Problem-solving

Debugging

Tools

AWS

Terraform

Docker

Apache Airflow

Kubernetes

Job description

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.