Black Canyon Consulting LLC
Posted 80 days agoVerified live 13h ago
Platform Engineer (DataOps)
Brief overview
Remote
UndergradOr in progress
$115k–$150k/yrStated range
12 H-1B approvalsDept. of Labor
PythonC++KubernetesContainerizationGoogle Cloud PlatformAmazon Web ServicesMicrosoft AzureApache KafkaGoogle Cloud Pub/SubApache AirFlowData processing applicationsCloud-based data processing infrastructureLinux command-line
About the company
Black Canyon Consulting LLCbccdc.net
Black Canyon Consulting, LLC (BCC) is a privately held, Woman-Owned Small Business, whose team of professionals bring over 125 years of experience providing innovative, tactical, and strategic Program and IT Management Support Services.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.12H-1B approved
86%approval rate
7new H-1B hires
$92,706median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231
20246
20254
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20256
Top sponsored roles
Systems EngineerData ScientistDirector - Digital DeliveryComputational Biology ScientistData Wrangler
Job description
Summary
Black Canyon Consulting (BCC) is searching for a Platform Engineer (DataOps) to support their work with the National Center for Biotechnology Information (NCBI) at the National Library of Medicine. The role involves developing and improving the DataOps platform, maintaining tools and libraries, and ensuring compliance with security regulations.
Responsibilities
- 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
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
- B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering
- 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
Qualifications
Must Haves
- 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
- B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering
Nice to Haves
- 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
Benefits
- Medical, dental and vision coverage
- 401k plan with employer contribution
- Paid holidays
- Vacation
- Flexible work schedule
- Tuition reimbursement
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