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Remote Entry Level Software Developer Jobs in Connecticut

Lead Python Developer

Hartford, CT ยท Remote

$141K - $173K/yr

Hartford, Connecticut, United States (Can try remote too) Contract only on W2 Candidates should ... Software Developers to support the design development and delivery of an enterprise Alert ...

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Remote Entry Level Software Developer information

See Connecticut salary details

$28.1K

$95.4K

$229.7K

How much do remote entry level software developer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote entry level software developer in Connecticut is $95,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $100,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Entry Level Software Developer vs Remote Junior Software Engineer?

AspectRemote Entry Level Software DeveloperRemote Junior Software Engineer
Required CredentialsBasic programming skills, relevant degree or courseworkSimilar, often includes internships or coursework
Work EnvironmentRemote, collaborative teams, entry-level projectsRemote, team-based development, entry-level tasks
Employer & Industry UsageTech companies, startups, software firmsTech industry, software development companies
Search & Comparison IntentYes, often compared for entry-level rolesYes, similar roles often searched together

The main difference between a Remote Entry Level Software Developer and a Remote Junior Software Engineer lies in job titles used by employers, but both roles typically require similar foundational skills, work in remote environments, and are found in tech industries. The titles are often used interchangeably, with slight variations in company preferences. Both are suitable for recent graduates or those starting their software development careers.

What are some common challenges faced by remote entry level software developers, and how can they be addressed?

Remote entry level software developers often face challenges such as limited in-person mentorship, difficulty in building relationships with team members, and adjusting to asynchronous communication. To address these, it's important to proactively seek feedback, regularly participate in virtual meetings, and engage in online team discussions or code reviews. Using collaboration tools and scheduling regular check-ins with a mentor or team lead can greatly enhance learning and integration into the team. Embracing self-discipline and setting a structured daily routine also help in managing tasks and maintaining productivity.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Software Developer, and why are they important?

To thrive as a Remote Entry Level Software Developer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), algorithms, and software development fundamentals, usually supported by a relevant degree or coding bootcamp. Familiarity with version control systems like Git, basic cloud platforms, and collaborative tools such as Slack or Jira is commonly required. Strong communication, self-motivation, and time management are crucial soft skills for succeeding in a remote environment. These skills enable you to deliver quality code, collaborate effectively with distributed teams, and adapt to the fast-paced demands of the tech industry.

What Does a Remote Entry-Level Software Developer Do?

As a remote entry-level software developer, your job is to code programs, troubleshoot problems with an application or framework, and otherwise work from home to support a company's programming needs. In this home-based role, you may use virtual office software to coordinate with other employees, complete tasks assigned to you by senior developers, debug programs that you are still in the process of making, and help analyze the company's future technology needs. A remote entry-level software developer position is typically still a part-time or full-time job for a specific employer, but it may be a contract role where you complete a programming job and move on to another as needed.

What are remote entry level software developers?

Remote entry level software developers are professionals who work from a location outside of a traditional office, often from home, and are at the beginning of their careers in software development. They typically have foundational knowledge of programming languages and software development practices. Their responsibilities can include writing code, debugging, testing software, and collaborating with other developers online. Remote entry level roles allow new developers to gain industry experience while enjoying the flexibility of working from anywhere. These positions are ideal for recent graduates or career changers looking to start a career in tech.
What are the most commonly searched types of Remote Software Developer jobs in Connecticut? The most popular types of Remote Software Developer jobs in Connecticut are:
What are popular job titles related to Remote Entry Level Software Developer jobs in Connecticut? For Remote Entry Level Software Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Software Developer jobs in Connecticut look for? The top searched job categories for Remote Entry Level Software Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Entry Level Software Developer jobs? Cities in Connecticut with the most Remote Entry Level Software Developer job openings:
Infographic showing various Remote Entry Level Software Developer job openings in Connecticut as of June 2026, with employment types broken down into 3% As Needed, 87% Full Time, 4% Part Time, 3% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $95,381 per year, or $45.9 per hour.
Software Engineer II - Bioinformatics R&D - Remote

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT โ€ข On-site, Remote

Full-time

Posted 2 days ago


Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellisยฎ, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
Sema4 is seeking a talented, self-motivated Software Engineer II - Bioinformatics R&D to contribute to cutting-edge translational bioinformatics and clinical product development. As a member of the R&D Bioinformatics department, you will act as a critical member of the Sema4 clinical and research ecosystem focused on innovation, reliability, and quality analysis of high-throughput data at an unprecedented scale. You will use advanced cloud computing technologies to do big data analytics. You will be part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data to understand mutations and mutation processes in cancer and reproductive health and to translate that understanding to clinical utility. You will develop systems for integrating novel informatics and genomics tools and methodologies into clinical products and practices.
RESPONSIBILITIES
  • Carry out software design, coding, testing, debugging, and documentation
  • Automate existing analysis workflows, migrate existing workflows to cloud platforms, and develop new workflows and pipelines for clinical and research projects
  • Develop, implement, and follow best practices in software development, code versioning, software testing, and deployment
  • Collaborate closely with scientists, clinicians, and product managers to design, engineer, and implement analytics pipeline solutions in the Amazon AWS cloud environment
  • Deliver high-quality, well-tested software to the production bioinformatics team for use in clinical products
  • Contribute to bioinformatics research analysis
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs
  • Train and provide support for bioinformatics scientists and other team members in internally developed best practices for software development, testing, and software development lifecycle (SDLC) policies

QUALIFICATIONS
  • M.S. in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, or related fields. B.S. plus equivalent experience will be considered
  • 2+ years of post-graduate software development experience
  • Working in a team, self-motivation, ability to manage multiple tasks simultaneously, ability to solve problems independently
  • Possess strong understanding of computer science fundamentals, algorithms, and software engineering best practices
  • Strong coding proficiency in Python and R programming languages or similar. Experience with multiple coding languages such as Java/Scala is preferred.
  • Programming experience in Unix/Linux environment
  • Experience with Docker or similar software container platform
  • Hands-on experience working with NGS and bioinformatics tools will be a plus, especially GATK and WDL and common NGS data formats (VCF, BAM)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS and DNAnexus
  • Developing codebases using distributed version control tools (especially Git) and software issue tracking systems (especially Jira)
  • Excellent communication and interpersonal skills needed for working in an interdisciplinary team of scientists, engineers, and clinicians
  • Well-versed in the art of effective technical communication, especially graphical communication, about systems design and high-complexity datasets