[Hiring] Staff Data Platform Engineer @WEXWEXUS

Role Description

This is a remote position.

The Data Platform Engineering Team acts as the backbone of our enterprise data architecture, bridging the gap between Data Engineering, Infrastructure, and Operations. Responsible for architecting, scaling, and maintaining multi-cloud infrastructure across AWS and Azure, the team takes direct ownership of core Apache Airflow orchestration, big data frameworks, and containerized environments to ensure a robust, production-grade platform.

We are seeking a Staff Software Engineer (Semantic Foundation) with 6+ years of hands-on experience to join this team as a core platform engineer and DevOps specialist. In this role, you will take direct ownership of our orchestration and containerization stack while driving key initiatives in CI/CD automation, observability, data governance, and cloud cost optimization.

Qualifications

• 6+ years of hands-on professional experience in Data Platform Engineering, DevOps, or Site Reliability Engineering (SRE) supporting big data environments.
• Deep production experience managing, tuning, dynamic scaling, and troubleshooting Apache Airflow infrastructure.
• Expert-level skills in Kubernetes, Helm, Terraform, Docker, ArgoCD, and GitHub Actions.
• Proven track record of configuring production alerting, metrics collection, and log aggregation using Grafana, Prometheus, and Loki.
• Deep operational and configuration experience with Spark, AWS EMR, Snowflake, Azure Synapse, dbt, and real-time streaming via Apache Kafka.
• Solid hands-on experience with AWS and/or Azure, with a demonstrated history of driving cloud cost optimization.
• Experience deploying or managing data cataloging tools like DataHub or Amundsen.
• Strong programming skills in Python, Bash, Go, or SQL.

Requirements

• Design, deploy, scale, and maintain highly available Apache Airflow clusters.
• Drive DevOps practices using Terraform, Helm Charts, and ArgoCD.
• Architect and manage robust CI/CD pipelines utilizing GitHub Actions.
• Provision and manage scalable Kubernetes clusters, Docker containers, and underlying cloud infrastructure.
• Build and maintain end-to-end monitoring, logging, and alerting systems.
• Build scalable data infrastructure supporting big data processing engines and data warehouses.
• Deploy and maintain central data discovery and metadata tooling.
• Actively monitor, audit, and optimize data infrastructure compute and storage costs.
• Build internal tools, CLI utilities, and dynamic workflow templates.
• Take full technical ownership of data platform modules.
• Define and enforce high engineering standards for code quality and security.
• Partner with data leads, product managers, and business stakeholders to identify infrastructure gaps.
• Serve as a subject matter expert (SME) on data infrastructure.

Benefits

• Health, dental, and vision insurances.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.
• Quarterly or annual bonus based on role and applicable plan.

Company Description

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan.

Pay Range: $140,600.00 - $173,100.00