Data Engineer

About this role

We're Hiring: Data Engineer / DevOps Engineer Lead

Are you a senior technical leader who thrives at the intersection of scalable data platforms and modern DevOps infrastructure? We’re looking for a Data Engineer / DevOps Lead (7+ years experience) to lead, architect, and optimize enterprise-scale cloud systems!

Role Overview
Role: Data Engineer / DevOps Engineer Lead
Location: Remote (United States)
Schedule: Must be available to work PST business hours
Work Authorization: Must be authorized to work in the U.S.

What You’ll Do
Build & Scale Data Platforms: Design ETL/ELT pipelines, optimize lakehouse/warehouse architectures, and handle real-time & batch processing (SQL, Python, Spark, Kafka).
Drive DevOps & Automation: Manage CI/CD pipelines, lead Infrastructure as Code (Terraform/CloudFormation), and oversee Docker & Kubernetes environments.
Master Cloud Engineering: Optimize AWS, Azure, or GCP cloud environments for high availability, security, and performance.
Lead & Mentor: Champion Agile/DevOps best practices, conduct architecture reviews, and guide a high-performing engineering team.

What We’re Looking For
7+ years of hands-on experience in Data Engineering, DevOps, or Cloud Engineering.
Core Tech Stack: SQL, Python, Scala, or Java | Spark, Kafka, Hadoop | Docker & Kubernetes | Terraform / IaC.
Cloud & CI/CD Mastery: AWS/Azure/GCP experience paired with tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Observability & Resilience: Deep knowledge of tools like Prometheus, Grafana, Datadog, or Splunk.
Bonus Points: Experience with Snowflake, Databricks, Redshift, or BigQuery, plus cloud/Kubernetes certifications!

How to Apply

If you meet the requirements and are ready to lead complex data center network initiatives, please submit your updated resume in English.

Pay: From $129,592.91 per year

Work Location: Remote