Company Overview
Founded in 2010, Swoon was built on the foundation of agility, client-centric service, and deep industry expertise. Our team not only understands the technology and professional services landscape but is actively immersed in it—engaging daily with top-tier talent across key sectors.
Today, Swoon stands as one of the fastest-growing talent and consulting firms, proudly serving clients across the U.S., Canada, Australia, and Mexico. With a growing portfolio of Fortune 1000 clients, numerous “Best-of” accolades, and a vast, dynamic talent network, we continue to make a meaningful impact in the staffing industry.
Role Summary
Join a transformative Product Analytics team within the airline industry, where you’ll help shape the future of enterprise data architecture. As a Data/DevOps Engineer, you’ll be instrumental in building scalable data pipelines, automating infrastructure with Terraform, and enabling CI/CD practices on AWS. You’ll work at the intersection of DevOps, data engineering, and cloud technology to deliver production-ready solutions that drive operational efficiency and unlock actionable insights.
This role is ideal for someone who thrives in a fast-paced, collaborative environment and is passionate about cloud infrastructure, automation, and solving complex data challenges at scale.
Key Responsibilities
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Build and maintain scalable data pipelines in a distributed cloud environment.
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Develop Infrastructure as Code using Terraform to automate deployments.
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Enable and support AWS-based data infrastructure for production workloads.
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Partner with cross-functional teams to design and implement cutting-edge batch and streaming data solutions.
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Support repository and deployment processes using CI/CD tools (GitHub Actions, Azure DevOps).
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Write scripts (Python, PowerShell, Bash) to automate repetitive tasks and streamline operations.
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Provide technical guidance to peers and lead initiatives to optimize cloud infrastructure.
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Assist with Dynamics 365 configurations and license management (light support).
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Support portal-based configuration, data integration, and DevOps enablement activities.
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Contribute to integration and migration efforts involving GitHub and Azure DevOps.
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Stay hands-on with technologies like Databricks, AWS Glue, Lambda, S3, and Airflow.
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Participate in Agile development workflows, collaborating with product owners, project managers, and engineering leads.
Top 5 Required Skillsets
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DevOps Automation & Tooling
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AWS Cloud Services (e.g., Lambda, S3, Redshift, RDS)
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Terraform (Infrastructure as Code)
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Python (for scripting and automation)
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CI/CD Pipeline Configuration (GitHub Actions, Azure DevOps)
Nice-to-Have Skills
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Blue-Green Deployment Strategies
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Kubernetes & Containerization
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Ansible Playbook Development
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Familiarity with Microsoft Dynamics 365 and Microsoft Fabric
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Experience with large-scale enterprise or airline industry data systems
Minimum Qualifications
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Bachelor’s degree in Computer Science, Engineering, Data Analytics, or related field
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5+ years of experience in data engineering, cloud infrastructure, or DevOps roles
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Expertise in working with structured, semi-structured, and unstructured datasets
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Strong SQL and database knowledge (BigQuery, SQL Server, Oracle, etc.)
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Hands-on experience with Python, PySpark, and data orchestration tools
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Familiar with Agile development methodologies and continuous integration/delivery processes
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Exceptional problem-solving abilities and a collaborative mindset
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Excellent communication skills, both written and verbal
Preferred Qualifications
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Master’s degree in a related field
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Prior experience in the transportation or airline industry
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Exposure to analytics platforms such as Quantum Metrics or Akamai
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AWS certifications (e.g., DevOps Engineer, Solutions Architect)
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Experience with data visualization, validation, and stakeholder communication
Interview Process
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Step 1: Initial video interview
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Step 2: In-person interview (onsite at Chicago location)