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Remote Dataops Engineer Jobs in Washington (NOW HIRING)

NT Concepts

Software Engineer

Vienna, VA · On-site +1

We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

NT Concepts

Senior Software Engineer

Reston, VA · On-site +1

$127.40K - $168K/yr

We follow lean agile practices, embrace the Ops (DataOps/DevSecOps/MLOps) to "automate-first", use ... Vienna, VA with remote flexibility Responsibilities: * Bridging the gap between complex business ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

Black Canyon Consulting

Engineering Team Leader

Bethesda, MD · On-site +1

$109.70K - $144.50K/yr

There is the possibility of 1 day/week as remote work. This position functions as a Technical ... Experience implementing DevOps and DataOps practices * Experience working on projects related to ...

NT Concepts

Python Developer

Herndon, VA · On-site +1

$51.75 - $71.25/hr

We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Perform exploratory data analysis, feature engineering, and preprocessing to improve model ...

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Remote Dataops Engineer information

What are the key skills and qualifications needed to thrive as a Remote DataOps Engineer, and why are they important?

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

What is the difference between Remote Dataops Engineer vs Data Engineer?

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What are popular job titles related to Remote Dataops Engineer jobs in Washington? For Remote Dataops Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Dataops Engineer jobs in Washington look for? The top searched job categories for Remote Dataops Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Dataops Engineer jobs? Cities in Washington with the most Remote Dataops Engineer job openings:
Remote Dataops Engineer jobs near you

Platform Engineer (DataOps)

Black Canyon Consulting

Bethesda, MD • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

Black Canyon Consulting (BCC)  is searching for 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.

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.
Benefits and Salary

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.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $115,000 - $150,000.

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

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