Senior Platform Engineer (DataOps)

Black Canyon Consulting

$120K — $145K *
Pharmaceuticals & Biotech
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in DataOps or related fields
  • Proficient in at least one programming language (e.g., Python, C++)
  • Experience with Kubernetes and containerization technologies
  • Familiarity with cloud services like GCP, AWS, or Azure
  • Knowledge of messaging frameworks like Apache Kafka or Google Cloud Pub/Sub
  • Experience in data processing applications and infrastructure
  • Strong Linux command-line skills

Responsibilities

  • Develop and enhance the DataOps platform continuously
  • Maintain and create common tools and libraries for the team
  • Evaluate and integrate new technologies and methodologies
  • Assist NCBI developers in adopting the DataOps platform
  • Ensure compliance with federal security standards through automated solutions
  • Adopt agile development principles and a culture of continuous improvement
  • Promote leadership development and a growth mindset within the team

Benefits

  • Opportunity to work in a dynamic environment focused on data-intensive applications
  • Flexible onsite/remote work options
  • Collaboration with industry experts at NCBI
  • Engagement in a significant initiative within a federal institution
  • Potential to take on leadership roles and responsibilities throughout one's career
Full Job Description
Black Canyon Consulting (BCC) is searching for Senior Platform Engineer (DataOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.

This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization

Duties & Responsibilities

The DataOps Platforms team:
  • Develops and continuously improves DataOps platform.
  • Develops and maintains common tools and libraries.
  • Evaluates new technologies and practices.
  • Helps NCBI developers with adoption of platform.
  • Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
  • Embraces agile development and continuous improvement
  • Encourages growth mindset and offers leadership opportunities at any level

Required Skills:
  • 7+ years of experience is the field
  • Strong coding skills in at least one programing language are required (Python, C++, ...)
  • Kubernetes, containerization
  • Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
  • Apache Kafka, Google Cloud Pub/Sub or equivalent
  • Apache AirFlow or equivalent
  • Experience with data processing applications and modern cloud-based data processing infrastructure
  • Linux command-line skills

Bonus Skills:
  • Google Anthos
  • Docker
  • GitOps tools: ArgoCD or equivalent
  • Infrastructure as code tools: Terraform or equivalent
  • GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management
  • Modern observability and logging tools: Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor),
  • DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty, Splunk, or equivalent
  • Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent
  • Data transfer tools: AWS DataSync, Aspera, MinIO, CloudSoda or equivalent
  • Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
  • Experience with best-practice design patterns in coding and architecture
  • Experience working in Agile environment
Educational Requirements
  • B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.


Benefits and Salary

We offer a competitive salary commensurate with experience and location.

If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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