Senior DataOps Platform Engineer - Remote/Onsite, Flexible Schedule

Black Canyon Consulting; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

401k plan with employer contribution

Paid holidays

Vacation

Flexible work schedule

Tuition reimbursement

Job summary

Black Canyon Consulting is seeking a Senior Platform Engineer (DataOps) to support NCBI at NIH. This full-time role can be onsite at Bethesda, MD or remote, within a DataOps Platform team building enterprise-grade data pipelines.

You will develop DataOps platforms, maintain common tools, evaluate new tech, and assist NCBI developers with platform adoption. Strong cloud, Kubernetes, and CI/CD skills are required; AGILE mindset encouraged.

Qualifications

• 7+ years in the field.
• Strong coding skills in Python and/or C++.
• Kubernetes and containerization experience.
• Experience with multi-cloud (GCP/AWS/Azure).
• Experience with data processing apps and cloud data infra.
• Proficient with Linux command line.

Responsibilities

• Develops and improves the DataOps platform.
• Develops and maintains common tools and libraries.
• Evaluates new technologies and practices.
• Helps NCBI developers adopt the platform.
• Ensures compliance with federal security regulations via automated pipelines.
• Embraces agile development and continuous improvement.
• Encourages growth mindset with leadership opportunities.

Skills

Programming in Python/C++

Kubernetes & containerization

Cloud platforms (GCP/AWS/Azure)

Data processing platforms

Linux CLI

Streaming / messaging: Kafka / Pub/Sub

CI/CD / GitOps (ArgoCD)

IaC: Terraform

Education

B.S. in STEM (Engineering, CS, Math, Physics)

Tools

ArgoCD

Terraform

Docker

GitHub/GitLab

Prometheus/Observability tools

Job description

Black Canyon Consulting is seeking a Senior Platform Engineer (DataOps) to support NCBI at NIH. This full-time role can be onsite at Bethesda, MD or remote, within a DataOps Platform team building enterprise-grade data pipelines.

You will develop DataOps platforms, maintain common tools, evaluate new tech, and assist NCBI developers with platform adoption. Strong cloud, Kubernetes, and CI/CD skills are required; AGILE mindset encouraged.