Senior Data Infrastructure Engineer: Real-Time Data Systems

Clear Capital | CubiCasa | restb.ai

Reno (NV)

On-site

USD 155,000 - 192,000

Full time

3 days ago
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Benefits offered by this job

Profit-sharing bonus
Health insurance
401(k) with employer match
PTO & holidays

Job summary

Clear Capital is seeking a Senior Data Infrastructure Engineer to lead production and development operations for a large-scale data footprint. You will own high-volume, real-time data services and infrastructure, collaborating with data engineering and product teams to design reliable systems for mission-critical operations.

The role focuses on building scalable data platforms, supporting Redshift and PostgreSQL in a hybrid cloud, and advancing our data initiatives with automation, monitoring,

Qualifications

  • 7+ years of experience in AWS cloud environments and data platforms.
  • Strong Redshift deployments experience; Postgres proficiency.

Responsibilities

  • Manage large-scale data platforms for performance and scalability.
  • Support Redshift and PostgreSQL databases across hybrid cloud.
  • Partner with development teams to engineer next-gen flagship products.
  • Manage HA architectures, disaster recovery, and backup/restore processes.
  • Repeatable builds, automation, documentation, monitoring and observability.
  • Develop Python and shell scripts for data migration and development.

Skills

Python
SQL
AWS Cloud
Data governance
Observability

Education

Bachelor's degree in computer science or related discipline

Tools

Terraform
Git
Bitbucket
GitHub
VSCode

Job description

Clear Capital is seeking a Senior Data Infrastructure Engineer to lead production and development operations for a large-scale data footprint. You will own high-volume, real-time data services and infrastructure, collaborating with data engineering and product teams to design reliable systems for mission-critical operations.

The role focuses on building scalable data platforms, supporting Redshift and PostgreSQL in a hybrid cloud, and advancing our data initiatives with automation, monitoring,

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