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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps / Data Platform Engineer - **Company:** GlobalLogic - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Databases, Continuous Integration, Data Validation, Github, Identity and Access Management, Python (Programming Language), Metadata Repositories, Microsoft SQL Server, MongoDB, Runbook, Simple Data Format, Software Deployment, Enterprise Data Management, Parquet, Data Logging, Scripting, Data Storage Technologies, Data Ingestion, Snowflake, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Data Lakes, Gitlab-ci, Infrastructure Automation Frameworks, Information Technology, Database Replication, Data Lakehouse, Terraform, Jenkins - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/93ff84f7-42cd-4c47-a43c-714d3842643b ## About the Role * AWS Expertise: Hands-on experience with S3, VPC/networking, IAM security, and infrastructure automation. * Infrastructure as Code (IaC): Strong experience with Terraform and automated environment provisioning. * CI/CD: Experience building and maintaining pipelines (e.g., GitHub Actions, GitLab CI, Jenkins). * Python Development: Strong Python scripting capabilities for automation, data validation, and platform tooling. * Database Experience: Practical experience working with SQL Server and MongoDB. * Data Storage: Deep understanding of Parquet file formats and S3 data lake storage patterns. * Operations & Observability: Solid background in production operations, logging, alerting, and end-to-end incident troubleshooting. Preferred Skills: * Hands-on experience with Fivetran (connector deployment, CDC configuration, and troubleshooting). * Experience with Snowflake or data lakehouse architectures, table formats, and data catalogs. * Familiarity with database replication technologies and high-volume production databases. * Experience supporting multi-tenant or multi-client enterprise data platforms. Education: * Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. ## Description * Infrastructure & Automation: Build, automate, and maintain AWS infrastructure (S3, networking, security) using Terraform to minimize manual deployment tasks. * Data Ingestion & CDC: Support the onboarding of SQL Server and MongoDB data sources into the data lake. Configure, deploy, and troubleshoot Fivetran connectors and CDC-based database replication for both initial loads and ongoing pipelines. * Data Storage Engineering: Build and maintain data lake storage patterns using Amazon S3 and Parquet. * Pipeline & Platform Utilities: Develop Python scripts and utilities for operational validation, platform automation, schema checks, and deployment tasks. * CI/CD & Operational Health: Build and maintain CI/CD pipelines for data platform components. Implement monitoring, alerting, logging, and health checks across the pipeline. * Troubleshooting & Operations: Diagnose issues across source databases, Fivetran connectors, AWS infrastructure, and downstream pipelines. Document deployment procedures, runbooks, and configuration standards. * Client Onboarding: Support production deployments and the onboarding of additional client environments. ## Related Videos - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)