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Remote Computer Science Jobs in Owings Mills, MD

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

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 ...

Bachelor's Degree from an accredited college or university with a major in Computer Science ... Remote Status : Full time position with full company benefits NOTICE: EO/AA/VEVRAA/Disabled ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Bachelor's degree in business, information systems, computer science, engineering, or equivalent ... This compensation range is specific to a remote role and takes into account the wide range of ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... About You * BS degree in Economics, Statistics, Mathematics, Computer Science, Analytics, or a ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent ...

Bachelor's degree in Computer Science, Cybersecurity, Computer Engineering, Information Technology ... Flexible and remote work policies for eligible positions. * Flexible PTO and holiday schedule.

Bachelor's Degree in Computer Science, Information Technology, or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the ...

Showing results 41-60

Remote Computer Science information

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.
What are the most commonly searched types of Computer Science jobs in Owings Mills, MD? The most popular types of Computer Science jobs in Owings Mills, MD are:
What job categories do people searching Remote Computer Science jobs in Owings Mills, MD look for? The top searched job categories for Remote Computer Science jobs in Owings Mills, MD are:
What cities near Owings Mills, MD are hiring for Remote Computer Science jobs? Cities near Owings Mills, MD with the most Remote Computer Science job openings:
Infographic showing various Remote Computer Science job openings in Owings Mills, MD as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 14% Part Time, and 8% Contract. Highlights an 100% Remote job distribution.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD • Remote

$117K - $140K/yr

Full-time

Posted 14 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.