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Full Time Dataops Engineer Jobs (NOW HIRING)

Data Platform Engineer, Senior Staff

San Diego, CA · On-site

$112.50K - $152.90K/yr

This role requires full-time onsite work (5 days per week) in either San Diego, CA or Boulder, CO ... DevOps, SRE, or DataOps roles * Expert-level experience with AWS, including networking, IAM ...

Data Engineer

San Francisco, CA · On-site

$135K - $190K/yr

Implement DataOps best practices so our data -- and the AI features built on top of it -- stays ... S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) ...

Data Engineer

New York, NY · On-site

$135K - $190K/yr

Implement DataOps best practices so our data -- and the AI features built on top of it -- stays ... S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) ...

Engineering Team Leader

Bethesda, MD · On-site

$109.70K - $144.50K/yr

This opportunity is full-time and onsite at the NIH-NCBI in Bethesda, MD. There is the possibility ... Experience implementing DevOps and DataOps practices * Experience working on projects related to ...

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Full Time Dataops Engineer information

What is the difference between Full Time Dataops Engineer vs Data Analyst?

AspectFull Time Dataops EngineerData Analyst
Required credentialsBachelor's in CS, Data Engineering, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Excel, Tableau
Work environmentTechnical teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization
Employer usageTech companies, data-driven organizationsMarketing, finance, consulting firms
Search intentBuilding and maintaining data infrastructureInterpreting data for insights

Full Time Dataops Engineers focus on developing, maintaining, and optimizing data pipelines and infrastructure, often working with cloud platforms and automation tools. Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles work with data, Dataops Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What cities are hiring for Full Time Dataops Engineer jobs? Cities with the most Full Time Dataops Engineer job openings:
What are the most commonly searched types of Dataops Engineer jobs? The most popular types of Dataops Engineer jobs are:
What states have the most Full Time Dataops Engineer jobs? States with the most job openings for Full Time Dataops Engineer jobs include:

QA Platform Engineer

Black Canyon Consulting

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Black Canyon Consulting (BCC) is searching for QA Platform Engineer (DevOps) 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.
Duties & Responsibilities
This is a great opportunity to work on challenging problems as part of NCBI's Platforms team, in a technical, scientific, and goal-oriented environment.
The Platforms team:
  • Develops and continuously improves DevSecOps, DataOps, and Observability platforms.
  • Develops and maintains common tools and libraries.
  • Evaluates new technologies and practices.
  • Helps NCBI developers with adoption platforms, tools, architectural patterns and best practices.
  • Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
  • Practices Agile development and continuous improvement.

The Compliance and QA team within the Platform section of NCBI focuses on:
The person filling the role of QA Test Engineer will need proven software development skills using modern computing languages such as Python, JavaScript, and Java. Other highly valued expertise includes web technologies and experience with continuous integration/continuous deployment (CI/CD). In addition to automating tests (Selenium, Cypress, Playwright), a person in this role would be expected to implement frameworks and utilities to support deployment, testing, and monitoring.
  • Build and maintain compliance pipelines with built-in quality gates
  • Continuously automatically gather metrics for application quality for the enterprise-wide portfolio of applications
  • Provide QA services on a project basis

NCBI's platforms are based on containerization, Kubernetes, GitOps and open interfaces with deployments to multiple clouds and premises.
Strong coding skills in at least one programing language is required. NCBI uses Python, Javascript/Typescript, C++, some Kotlin and Scala and a bit of Golang and Rust.
NCBI is a Linux shop, candidates need adequate level of Linux command-line skills. Sysadmin-level skills are a bonus.
Familiarity with build tools and various web, RPC and other frameworks is a bonus. Experience with design patterns in coding and architecture is a bonus.
Any knowledge of the following is helpful but not required:
  • OpenShift, Anthos, Google Kubernetes Engine (GKE), Azure Kubernetes Services (AKS), Amazon Elastic Kubernetes Service (EKS), Hashicorp Nomad
  • Observability tools such as Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor), DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty.
  • Service mesh technologies such as Istio, Linkerd
  • Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
  • GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management.
  • Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent.

Positions offered at any level. Growth mindset is encouraged and the team offers leadership opportunities at any level.
Educational Requirements
  • B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.

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