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Remote Devops Jobs in Reisterstown, MD (NOW HIRING)

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Solid understanding of Agile methodologies and DevOps practices. * Excellent communication ... Work Flexibility This role is eligible for full time remote work.

T Rowe Price

Lead Android Engineer

Owings Mills, MD · Remote

Collaborate with internal groups such as architecture, design, DevOps, and enterprise security to ... Experiencedworking with remote data via REST and JSON * Demonstrated experience in writing multi ...

NinjaOne

Senior Software Engineer, Kotlin | MDM

Baltimore, MD · On-site +1

$140K - $220K/yr

... DevOps practices and tooling is valued • Caching systems expertise and experience with Redis is ... Location We are flexible on remote working from home, if you are located in the USA and reside in ...

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Remote Devops information

See Reisterstown, MD salary details

$15

$56

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How much do remote devops jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote devops in Reisterstown, MD is $56.51, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.86 per hour, depending on experience, location, and employer.

What is a remote DevOps engineer?

A Remote DevOps engineer is a professional who works from a remote location to manage and automate an organization's IT infrastructure, development, and deployment processes. Their main goal is to bridge the gap between software development and IT operations, ensuring that software can be released quickly, reliably, and efficiently. Remote DevOps engineers use tools like CI/CD pipelines, configuration management, and cloud platforms to streamline workflows and improve system reliability. They collaborate with development and operations teams using online communication and project management tools.

How do remote DevOps professionals typically collaborate with development and operations teams across different time zones?

Remote DevOps professionals often use a combination of collaboration tools such as Slack, Jira, and Zoom to stay connected with development and operations teams. They rely heavily on clear documentation, version control systems, and automated workflows to ensure smooth handoffs and consistent processes across time zones. Regular stand-up meetings, asynchronous communication, and shared dashboards help maintain alignment on priorities and progress, making it possible to address incidents and deploy updates efficiently despite geographical differences.

What is the difference between Remote Devops vs Remote Cloud Engineer?

AspectRemote DevopsRemote Cloud Engineer
Required CredentialsCertifications like AWS, Azure, Docker, KubernetesSame certifications, with focus on cloud platforms
Work EnvironmentCollaborates with development and operations teams, manages CI/CD pipelinesDesigns and implements cloud infrastructure, manages cloud resources
Employer & Industry UsageTech companies, startups, enterprises focusing on deployment automationCloud service providers, SaaS companies, organizations migrating to cloud

Remote Devops and Remote Cloud Engineer roles share many certifications and work environments, but Devops focuses on automation and deployment pipelines, while Cloud Engineers specialize in cloud infrastructure design and management. Both are in high demand across tech industries, often overlapping in skills and responsibilities.

Can you work as a remote DevOps?

Yes, many DevOps roles can be performed remotely, especially those focused on cloud infrastructure, automation, and software deployment. Remote DevOps positions often require strong skills in tools like Docker, Kubernetes, and CI/CD pipelines, along with good communication and collaboration abilities. However, some companies may prefer on-site presence for certain tasks or team coordination.

Is 40 too old to learn remote DevOps?

Age is not a barrier to learning or working as a remote DevOps engineer. Success depends on acquiring relevant skills such as scripting, cloud platforms, and automation tools, which can be learned at any age through online courses and hands-on practice.
More about Remote Devops jobs

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Remote Devops jobs near you
Infographic showing various Remote Devops job openings in Reisterstown, MD as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $117,551 per year, or $56.5 per hour.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD • Remote

$117K - $140K/yr

Full-time

Re-posted 6 days ago

Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  •  Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.