Black Canyon Consulting (BCC) is searching for DataOps Engineer 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.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
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
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
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:
- 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.
