Senior Platform Engineer (DataOps)

blackcanyonconsulting; Stati Uniti; Ibrido; USD 130.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical coverage

Dental coverage

Vision coverage

Employer-supported 401(k)

Paid holidays and vacation

Flexible schedule

Tuition reimbursement

Descrizione del lavoro

Black Canyon Consulting is seeking a senior DataOps Platform Engineer to build and evolve an enterprise DataOps platform for data-intensive applications. The role emphasizes shared platform capabilities, cloud-based data processing, automation, and secure developer workflows.

You will support application teams in adopting common tools, contribute to agile delivery, and build automated compliance pipelines addressing security requirements.

Competenze

• At least 7 years of relevant professional experience.
• Strong coding ability in at least one language, such as Python or C++.
• Experience with Kubernetes and containerization.
• Familiarity with a major cloud platform, such as Google Cloud, AWS, or Azure.
• Experience with messaging or streaming systems such as Kafka or Pub/Sub, and workflow tools such as Airflow or equivalents.
• Background with data processing applications and modern cloud data infrastructure; comfortable using Linux command-line tools.
• A STEM bachelor's degree or equivalent industry experience in systems engineering.

Mansioni

• Develop and continuously improve a shared DataOps platform and its supporting tools and libraries.
• Evaluate technologies and practices for operating data processing systems at enterprise scale.
• Support developers as they adopt platform capabilities and workflows.
• Build automated solutions and compliance pipelines that address federal application security requirements.
• Contribute to an Agile team focused on iterative delivery and ongoing improvement.

Conoscenze

Python

C++

Linux CLI

Formazione

STEM bachelor's degree or equivalent experience

Strumenti

Kubernetes

Airflow

Kafka/Pub/Sub

Docker

Descrizione del lavoro

Role overview

Help build and evolve an enterprise DataOps platform for teams developing data-intensive applications. This senior engineering role focuses on shared platform capabilities, cloud-based data processing, automation, and secure developer workflows, while also helping application teams adopt common tools and practices.

Responsibilities

• Develop and continuously improve a shared DataOps platform and its supporting tools and libraries.
• Evaluate technologies and practices for operating data processing systems at enterprise scale.
• Support developers as they adopt platform capabilities and workflows.
• Build automated solutions and compliance pipelines that address federal application security requirements.
• Contribute to an Agile team focused on iterative delivery and ongoing improvement.

Requirements

• At least 7 years of relevant professional experience.
• Strong coding ability in at least one language, such as Python or C++.
• Experience with Kubernetes and containerization.
• Familiarity with a major cloud platform, such as Google Cloud, AWS, or Azure.
• Experience with messaging or streaming systems such as Kafka or Pub/Sub, and workflow tools such as Airflow or equivalents.
• Background with data processing applications and modern cloud data infrastructure; comfortable using Linux command-line tools.
• A STEM bachelor's degree or equivalent industry experience in systems engineering.

Nice to have

• GitOps, infrastructure-as-code, CI/CD, source control, artifact management, observability, logging, secrets management, or data transfer tooling.
• Experience with additional messaging and stream-processing platforms, coding and architecture patterns, and Agile delivery.
• Familiarity with Docker or Google Anthos.

Benefits and work setup

This is a full-time role described as onsite and/or remote in Bethesda, Maryland.

Compensation is described as competitive and dependent on experience and location.

• Medical coverage
• Dental coverage
• Vision coverage
• Employer-supported 401(k)
• Paid holidays and vacation
• Flexible schedule
• Tuition reimbursement