data infrastructure engineer

MonetizeMore

<div><h3 class="jobSectionHeader"><b>About MonetizeMore</b></h3><p>
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.</p><p></p><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
We are looking for a <b>Data Infrastructure Engineer</b> 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.</p><p>
In addition to core data infrastructure responsibilities, you will occasionally work on <b>Airflow DAGs and orchestration tasks</b>, supporting our data workflow automation initiatives.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, implement, and maintain scalable, high-performance data infrastructure.</li><li>
Manage the data pipelines using <b>Apache Airflow</b> for orchestration and scheduling.</li><li>
Develop and deploy data services and tools using <b>Kubernetes</b> and containerized environments.</li><li>
Leverage <b>AWS services</b> (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration.</li><li>
Ensure reliability, performance, and cost efficiency of data systems.</li><li>
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems.</li><li>
Implement monitoring, logging, and alerting for all critical data infrastructure components.</li><li>
Champion best practices in data security, governance, and DevOps for data workflows.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><p><b>
Required:</b></p><ul><li>
1-2 years of experience in data infrastructure roles.</li><li>
Strong proficiency with <b>Python</b> and SQL.</li><li>
Solid understanding of <b>AWS data and compute services</b> (S3, Athena, ECS/EKS, etc.).</li><li>
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar).</li><li>
Experience with containerization (Docker).</li><li>
Strong problem-solving and debugging skills.</li><li>
Experience with transactional database maintenance. Preferred: Postgres</li></ul><p><b>
Preferred:</b></p><ul><li>
Knowledge of data warehousing tools like <b>Athena</b>, or <b>BigQuery</b>.</li><li>
Experience managing workflows with <b>Apache Airflow</b>.</li><li>
Hands-on experience deploying and maintaining workloads on <b>Kubernetes</b>.</li><li>
Familiarity with real-time data streaming (Kafka, Kinesis, etc.).</li><li>
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Why MonetizeMore</b></h3><ul><li>
100% remote, flexible work environment.</li><li>
Work with cutting-edge ad tech and data systems.</li><li>
Collaborative, globally distributed team.</li><li>
Opportunities for growth and ownership.</li></ul><p>
</p><p>RGdY8EwUvZ</p></div>

Data Infrastructure Engineer

<div><h3 class="jobSectionHeader"><b>About MonetizeMore</b></h3><p>
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.</p><p></p><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
We are looking for a <b>Data Infrastructure Engineer</b> 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.</p><p>
In addition to core data infrastructure responsibilities, you will occasionally work on <b>Airflow DAGs and orchestration tasks</b>, supporting our data workflow automation initiatives.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, implement, and maintain scalable, high-performance data infrastructure.</li><li>
Manage the data pipelines using <b>Apache Airflow</b> for orchestration and scheduling.</li><li>
Develop and deploy data services and tools using <b>Kubernetes</b> and containerized environments.</li><li>
Leverage <b>AWS services</b> (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration.</li><li>
Ensure reliability, performance, and cost efficiency of data systems.</li><li>
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems.</li><li>
Implement monitoring, logging, and alerting for all critical data infrastructure components.</li><li>
Champion best practices in data security, governance, and DevOps for data workflows.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><p><b>
Required:</b></p><ul><li>
1-2 years of experience in data infrastructure roles.</li><li>
Strong proficiency with <b>Python</b> and SQL.</li><li>
Solid understanding of <b>AWS data and compute services</b> (S3, Athena, ECS/EKS, etc.).</li><li>
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar).</li><li>
Experience with containerization (Docker).</li><li>
Strong problem-solving and debugging skills.</li><li>
Experience with transactional database maintenance. Preferred: Postgres</li></ul><p><b>
Preferred:</b></p><ul><li>
Knowledge of data warehousing tools like <b>Athena</b>, or <b>BigQuery</b>.</li><li>
Experience managing workflows with <b>Apache Airflow</b>.</li><li>
Hands-on experience deploying and maintaining workloads on <b>Kubernetes</b>.</li><li>
Familiarity with real-time data streaming (Kafka, Kinesis, etc.).</li><li>
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Why MonetizeMore</b></h3><ul><li>
100% remote, flexible work environment.</li><li>
Work with cutting-edge ad tech and data systems.</li><li>
Collaborative, globally distributed team.</li><li>
Opportunities for growth and ownership.</li></ul><p>
</p><p>2T7Ou1f7BS</p></div>

<div><h3 class="jobSectionHeader"><b>About MonetizeMore</b></h3><p>
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.</p><p></p><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
We are looking for a <b>Data Infrastructure Engineer</b> 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.</p><p>
In addition to core data infrastructure responsibilities, you will occasionally work on <b>Airflow DAGs and orchestration tasks</b>, supporting our data workflow automation initiatives.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, implement, and maintain scalable, high-performance data infrastructure.</li><li>
Manage the data pipelines using <b>Apache Airflow</b> for orchestration and scheduling.</li><li>
Develop and deploy data services and tools using <b>Kubernetes</b> and containerized environments.</li><li>
Leverage <b>AWS services</b> (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration.</li><li>
Ensure reliability, performance, and cost efficiency of data systems.</li><li>
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems.</li><li>
Implement monitoring, logging, and alerting for all critical data infrastructure components.</li><li>
Champion best practices in data security, governance, and DevOps for data workflows.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><p><b>
Required:</b></p><ul><li>
1-2 years of experience in data infrastructure roles.</li><li>
Strong proficiency with <b>Python</b> and SQL.</li><li>
Solid understanding of <b>AWS data and compute services</b> (S3, Athena, ECS/EKS, etc.).</li><li>
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar).</li><li>
Experience with containerization (Docker).</li><li>
Strong problem-solving and debugging skills.</li><li>
Experience with transactional database maintenance. Preferred: Postgres</li></ul><p><b>
Preferred:</b></p><ul><li>
Knowledge of data warehousing tools like <b>Athena</b>, or <b>BigQuery</b>.</li><li>
Experience managing workflows with <b>Apache Airflow</b>.</li><li>
Hands-on experience deploying and maintaining workloads on <b>Kubernetes</b>.</li><li>
Familiarity with real-time data streaming (Kafka, Kinesis, etc.).</li><li>
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Why MonetizeMore</b></h3><ul><li>
100% remote, flexible work environment.</li><li>
Work with cutting-edge ad tech and data systems.</li><li>
Collaborative, globally distributed team.</li><li>
Opportunities for growth and ownership.</li></ul><p>
</p><p>JqWm3YdfU4</p></div>

<div><h3 class="jobSectionHeader"><b>About MonetizeMore</b></h3><p>
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.</p><p></p><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
We are looking for a <b>Data Infrastructure Engineer</b> 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.</p><p>
In addition to core data infrastructure responsibilities, you will occasionally work on <b>Airflow DAGs and orchestration tasks</b>, supporting our data workflow automation initiatives.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, implement, and maintain scalable, high-performance data infrastructure.</li><li>
Manage the data pipelines using <b>Apache Airflow</b> for orchestration and scheduling.</li><li>
Develop and deploy data services and tools using <b>Kubernetes</b> and containerized environments.</li><li>
Leverage <b>AWS services</b> (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration.</li><li>
Ensure reliability, performance, and cost efficiency of data systems.</li><li>
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems.</li><li>
Implement monitoring, logging, and alerting for all critical data infrastructure components.</li><li>
Champion best practices in data security, governance, and DevOps for data workflows.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><p><b>
Required:</b></p><ul><li>
1-2 years of experience in data infrastructure roles.</li><li>
Strong proficiency with <b>Python</b> and SQL.</li><li>
Solid understanding of <b>AWS data and compute services</b> (S3, Athena, ECS/EKS, etc.).</li><li>
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar).</li><li>
Experience with containerization (Docker).</li><li>
Strong problem-solving and debugging skills.</li><li>
Experience with transactional database maintenance. Preferred: Postgres</li></ul><p><b>
Preferred:</b></p><ul><li>
Knowledge of data warehousing tools like <b>Athena</b>, or <b>BigQuery</b>.</li><li>
Experience managing workflows with <b>Apache Airflow</b>.</li><li>
Hands-on experience deploying and maintaining workloads on <b>Kubernetes</b>.</li><li>
Familiarity with real-time data streaming (Kafka, Kinesis, etc.).</li><li>
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Why MonetizeMore</b></h3><ul><li>
100% remote, flexible work environment.</li><li>
Work with cutting-edge ad tech and data systems.</li><li>
Collaborative, globally distributed team.</li><li>
Opportunities for growth and ownership.</li></ul><p>
</p><p>IZZOwpKy7o</p></div>

<div>
 <strong>
  About MonetizeMore
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 Role Overview
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 In addition to core data infrastructure responsibilities, you will occasionally work on Airflow DAGs and orchestration tasks, supporting our data workflow automation initiatives.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement, and maintain scalable, high-performance data infrastructure
  </li>
  <li>
   Manage the data pipelines using Apache Airflow for orchestration and scheduling
  </li>
  <li>
   Develop and deploy data services and tools using Kubernetes and containerized environments
  </li>
  <li>
   Leverage AWS services (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration
  </li>
  <li>
   Ensure reliability, performance, and cost efficiency of data systems
  </li>
  <li>
   Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems
  </li>
  <li>
   Implement monitoring, logging, and alerting for all critical data infrastructure components
  </li>
  <li>
   Champion best practices in data security, governance, and DevOps for data workflows
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Required:
 <br/>
 <br/>
 <ul>
  <li>
   1-2 years of experience in data infrastructure roles
  </li>
  <li>
   Strong proficiency with Python and SQL
  </li>
  <li>
   Solid understanding of AWS data and compute services (S3, Athena, ECS/EKS, etc.)
  </li>
  <li>
   Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar)
  </li>
  <li>
   Experience with containerization (Docker)
  </li>
  <li>
   Strong problem-solving and debugging skills
  </li>
  <li>
   Experience with transactional database maintenance. Preferred: Postgres
   <br/>
   <br/>
  </li>
 </ul>
 Preferred:
 <br/>
 <br/>
 <ul>
  <li>
   Knowledge of data warehousing tools like Athena, or BigQuery
  </li>
  <li>
   Experience managing workflows with Apache Airflow
  </li>
  <li>
   Hands-on experience deploying and maintaining workloads on Kubernetes
  </li>
  <li>
   Familiarity with real-time data streaming (Kafka, Kinesis, etc.)
  </li>
  <li>
   Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack)
   <br/>
   <br/>
  </li>
 </ul>
 Why MonetizeMore
 <br/>
 <br/>
 <ul>
  <li>
   100% remote, flexible work environment
  </li>
  <li>
   Work with cutting-edge ad tech and data systems
  </li>
  <li>
   Collaborative, globally distributed team
  </li>
  <li>
   Opportunities for growth and ownership
   <br/>
   <br/>
  </li>
 </ul>
 Powered by JazzHR
 <br/>
 <br/>
 JqWm3YdfU4
</div>


<div><h3 class="jobSectionHeader"><b>About MonetizeMore</b></h3><p>
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.</p><p></p><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
We are looking for a <b>Data Infrastructure Engineer</b> 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.</p><p>
In addition to core data infrastructure responsibilities, you will occasionally work on <b>Airflow DAGs and orchestration tasks</b>, supporting our data workflow automation initiatives.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li>
Design, implement, and maintain scalable, high-performance data infrastructure.</li><li>
Manage the data pipelines using <b>Apache Airflow</b> for orchestration and scheduling.</li><li>
Develop and deploy data services and tools using <b>Kubernetes</b> and containerized environments.</li><li>
Leverage <b>AWS services</b> (e.g., S3, Lambda, Athena, ECS/EKS, Glue) for data storage, processing, and orchestration.</li><li>
Ensure reliability, performance, and cost efficiency of data systems.</li><li>
Collaborate with cross-functional teams to support data-driven initiatives and ad tech systems.</li><li>
Implement monitoring, logging, and alerting for all critical data infrastructure components.</li><li>
Champion best practices in data security, governance, and DevOps for data workflows.</li></ul><p></p><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><p><b>
Required:</b></p><ul><li>
1-2 years of experience in data infrastructure roles.</li><li>
Strong proficiency with <b>Python</b> and SQL.</li><li>
Solid understanding of <b>AWS data and compute services</b> (S3, Athena, ECS/EKS, etc.).</li><li>
Experience in CI/CD, infrastructure-as-code (Terraform, CloudFormation, or similar).</li><li>
Experience with containerization (Docker).</li><li>
Strong problem-solving and debugging skills.</li><li>
Experience with transactional database maintenance. Preferred: Postgres</li></ul><p><b>
Preferred:</b></p><ul><li>
Knowledge of data warehousing tools like <b>Athena</b>, or <b>BigQuery</b>.</li><li>
Experience managing workflows with <b>Apache Airflow</b>.</li><li>
Hands-on experience deploying and maintaining workloads on <b>Kubernetes</b>.</li><li>
Familiarity with real-time data streaming (Kafka, Kinesis, etc.).</li><li>
Exposure to monitoring and observability tools (Prometheus, Grafana, ELK Stack).</li></ul><p></p><h3 class="jobSectionHeader"><b>
Why MonetizeMore</b></h3><ul><li>
100% remote, flexible work environment.</li><li>
Work with cutting-edge ad tech and data systems.</li><li>
Collaborative, globally distributed team.</li><li>
Opportunities for growth and ownership.</li></ul><p>
</p><p>dpdiW5IUw3</p></div>

Bluphlux

<div><div><h3 class="jobSectionHeader"><b>Job Summary</b></h3><div>
Bluphlux is seeking a skilled Data Engineer to join our innovative team. As a Data Engineer, you will play a crucial role in developing and maintaining the data infrastructure that powers our cutting-edge recruitment solutions. You will work closely with our data scientists and software engineers to ensure the seamless integration and processing of data, enabling us to deliver exceptional results for our clients.</div><div></div><h4 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h4><ul><li>
Design, develop, and maintain scalable data pipelines and systems.</li><li>
Collaborate with data scientists and software engineers to integrate data solutions.</li><li>
Optimize and improve existing data systems for performance and reliability.</li><li>
Implement data security and privacy measures to protect sensitive information.</li><li>
Monitor and troubleshoot data pipeline issues to ensure data integrity.</li></ul><h4 class="jobSectionHeader"><b>
Required Qualifications</b></h4><ul><li>
Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>
Proven experience as a Data Engineer or in a similar role.</li><li>
Strong knowledge of SQL and database management systems.</li><li>
Experience with data pipeline and workflow management tools.</li><li>
Proficiency in programming languages such as Python or Java.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Skills</b></h4><ul><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>
Familiarity with big data tools like Hadoop, Spark, or Kafka.</li><li>
Knowledge of machine learning and data analytics.</li><li>
Strong problem-solving skills and attention to detail.</li><li>
Excellent communication and teamwork abilities.</li></ul></div></div><p></p>

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