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Remote Github Software Engineer Jobs in Newtown, CT

IQVIA

Senior Application Architect

Greenwich, CT · On-site +1

... remote). U.S. residents only; all work must be performed within the United States. Experience / Qualifications * Bachelor's degree in Software Engineering, Computer Science, or a related field, or ...

IQVIA

Senior Application Architect

Greenwich, CT · On-site +1

... remote). U.S. residents only; all work must be performed within the United States. Experience / Qualifications * Bachelor's degree in Software Engineering, Computer Science, or a related field, or ...

Owl Cyber Defense

Principal Product Manager

Danbury, CT · On-site +1

Engineering Reports to: VP - Product Management Office: Danbury, CT Work Location: Remote (Must be ... Strong understanding of hardware, software, and supporting technology stacks. * Exceptional written ...

PaceMate

Loop Recorder Device Specialist

West Haven, CT · On-site +1

$34.61 - $44.23/hr

... remote monitoring on our proprietary software platform. * Recognize abnormal function and programming of loop recorders and recommend strategies to address and correct issues. * Communicate with ...

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How much do remote github software engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote github software engineer in Newtown, CT is $151,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $178,200.00 per year, depending on experience, location, and employer.

What does a remote GitHub software engineer do?

A Remote Github Software Engineer is responsible for designing, developing, and maintaining software applications, typically using the GitHub platform for version control and collaboration. They work from a remote location, collaborating with team members through online tools and repositories. Their tasks often include writing code, reviewing pull requests, managing issues, and ensuring the quality and security of software projects. Effective communication and strong problem-solving skills are essential for success in this role.

What are the key skills and qualifications needed to thrive as a remote GitHub software engineer?

To thrive as a Remote Github Software Engineer, you need strong coding abilities (often in languages like Ruby, Go, or JavaScript), experience with version control systems, and a solid understanding of software development principles, typically backed by a relevant degree or significant professional experience. Familiarity with GitHub's ecosystem, CI/CD pipelines, cloud platforms, and tools like Docker or Kubernetes is crucial, along with knowledge of automated testing frameworks. Exceptional written communication, self-motivation, and collaboration skills are essential for effective teamwork and problem-solving in a remote environment. These skills and qualities ensure you can contribute high-quality code, coordinate with distributed teams, and deliver reliable software solutions efficiently.

How does a remote GitHub software engineer typically collaborate with team members across different time zones?

As a Remote Github Software Engineer, effective collaboration often relies on asynchronous communication tools like GitHub Issues, Pull Requests, and project boards. Regularly updating documentation, leaving detailed code reviews, and participating in scheduled virtual meetings help ensure everyone stays aligned despite time differences. Strong written communication skills are essential, as much of the collaboration happens through comments and documentation rather than real-time discussions. This setup fosters flexibility but also requires proactive communication to avoid misunderstandings and project delays.

What cities near Newtown, CT are hiring for Remote Github Software Engineer jobs?

Cities near Newtown, CT with the most Remote Github Software Engineer job openings:

Remote Github Software Engineer jobs near you

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Re-posted 8 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Brief Description: The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims, electronic medical records (EMR), and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD), exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research

Essential Functions Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting objectives of the project. Clean and validate RWD for consistency and reliability Implement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and Flatiron Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses Create or review and approve programming plans at study and project level. Displays highly advanced knowledge regarding program, epidemiology methodologies implementation and system development life cycle concepts.

Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies Develop dashboards, reports, and presentations to communicate findings Work collaboratively with members of study teams to meet study and recurring report timelines Minimum Requirements MS in data science, epidemiology, statistics, public health or related discipline At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage Optum and Flatiron experience are required Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g

payers and reimbursement models) Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data Experience with big data analytical platforms Deep understanding of observational study analysis Able to work in a fast-paced, flexible, team-oriented environment

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