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From Home Data Platform Engineer Jobs in Colorado

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5-8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads. Must-Have Skills * Strong ...

Showing results 21-40

From Home Data Platform Engineer information

What is a from home data platform engineer?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a from home data platform engineer?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a from home data platform engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.

What is the difference between From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

What cities in Colorado are hiring for From Home Data Platform Engineer jobs?

Cities in Colorado with the most From Home Data Platform Engineer job openings:

AWS Platform Engineer

2T Consulting

Littleton, CO • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are seeking an experienced AWS Data Platform & AI Infrastructure Engineer with 5–8 years of experience in AWS infrastructure, data platforms, DevOps, and AI workloads.

Must-Have Skills
  • Strong experience with AWS S3, Glue, Athena, and EMR.
  • Hands-on experience with Terraform and AWS Infrastructure as Code.
  • Strong knowledge of VPC, IAM, Security Groups, VPC Peering, PrivateLink, and Transit Gateway.
  • Experience with Docker, GitLab CI/CD, and Artifactory.
  • Experience supporting Scala/Spark ETL pipelines.
  • Proficiency in Python, Linux, and Shell scripting.
  • Experience with CloudWatch, Prometheus, or Grafana.
  • Experience with REST APIs and AWS SDK/boto3.
  • Strong understanding of CI/CD, Git workflows, automated testing, and software engineering practices.
  • Experience with event-driven systems such as Kafka, SNS/SQS, or EventBridge.
AI / Data Platform Experience
  • Experience supporting AI agent runtime environments.
  • Experience with LangGraph and LangSmith Deployments is preferred.
  • Experience with cloud-based data lake and distributed data processing environments.
Responsibilities
  • Design and manage AWS infrastructure for Data Lake and AI workloads.
  • Manage cross-account connectivity, networking, IAM, and security.
  • Build and maintain CI/CD pipelines for AI agent deployments.
  • Support and troubleshoot Scala/Spark ETL pipelines and onboard new data sources.
  • Implement monitoring, alerting, automation, and incident response.
  • Develop reusable infrastructure and automation using Terraform and Python.
  • Collaborate with engineering teams and external platform owners on connectivity, security, and access requirements.