Senior Data Engineer & DevOps Lead (Remote)

United States Digital Space LLC; United States; Remote; USD 89,000 - 112,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Engineer / DevOps Engineer Lead to design and manage scalable data platforms and cloud infrastructure. The role blends data engineering, DevOps, cloud, automation, and technical leadership.

The ideal candidate has 7+ years of experience, will mentor teams, and support enterprise-scale production environments. Schedule aligns with PST hours; remote work is offered, with monthly compensation in the advertised range.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 7+ years of experience in Data Engineering, DevOps, or cloud engineering.
• Strong programming in SQL, Python, Scala, or Java.
• Hands-on with ETL/ELT, Spark, Hadoop, or Kafka.
• Experience with AWS, Azure, or GCP; CI/CD tools; Docker and Kubernetes.
• Knowledge of Terraform, CloudFormation, or other IaC tools.
• Linux, scripting, and automation skills; strong communication and leadership.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines and data models.
• Lead DevOps initiatives, CI/CD, IaC, and cloud platform automation.
• Administer AWS/Azure/GCP environments and ensure security/compliance.
• Mentor and coordinate Data Eng and DevOps teams; engage with stakeholders.
• Foster Agile/DevOps practices and ensure production reliability.

Skills

Leadership

Stakeholder management

Mentoring

Communication

Education

Bachelor's degree in CS/IT/Engineering

Tools

SQL

Python

Scala

Java

ETL/ELT

Spark

Hadoop

Kafka

AWS

Azure

GCP

CI/CD

Jenkins

GitHub Actions

GitLab CI/CD

Terraform

CloudFormation

Docker

Kubernetes

Linux

Prometheus

Grafana

Job description

United States Digital Space LLC is seeking a Data Engineer / DevOps Engineer Lead to design and manage scalable data platforms and cloud infrastructure. The role blends data engineering, DevOps, cloud, automation, and technical leadership.

The ideal candidate has 7+ years of experience, will mentor teams, and support enterprise-scale production environments. Schedule aligns with PST hours; remote work is offered, with monthly compensation in the advertised range.