Full-Stack Software Engineer

Join Ethics Code and Help Us Build the Future of Data Engineering & Intelligent Platforms

At Ethics Code, we’re on an exciting mission to empower global clients with high-performing engineering teams, world-class delivery standards, and a culture rooted in excellence, learning, and innovation.
We’re growing fast — and we’re looking for talented engineers who thrive in solving complex problems, care deeply about quality, and want to make a measurable impact on our client’s technology ecosystem.

This position is structured as a hybrid role; however, we offer a highly flexible work model that allows team members to operate remotely the majority of the time. On-site presence is only expected when it adds meaningful value—such as for key meetings, collaboration sessions, or specific client-driven requirements—ensuring you maintain an excellent balance between productivity, autonomy, and personal flexibility.

If you’re passionate, driven, and ready to join a team that celebrates growth and pushes boundaries, this is the place for you.

Requirements:
Under general guidance and supervision of senior software engineering personnel, and based on specific business needs, you will need:

• Strong proficiency in C# and Python
• Strong SQL skills
• Experience with relational databases (MS SQL, PostgreSQL, MySQL)
• Experience with non-relational databases (MongoDB)
• React web development experience
• Familiarity with CI/CD pipelines such as GitHub Actions
• Experience in data modeling, data wrangling, and data visualization
• Knowledge of AWS, especially data-focused services
• Knowledge of Snowflake
• Understanding of Artificial Intelligence methods and applicability
• (Preferred) Experience with clinical trial or regulated-industry software
• (Preferred) Experience working with REST and GraphQL APIs

Your Competencies

• We’re looking for someone who can gather business requirements, write up specifications, develop code, and handle unit testing and debugging with some guidance along the way.
• If you can transform business needs into functional requirements, user stories, and acceptance criteria, that’s a big plus!
• We appreciate advanced analytical and technical skills to explore and process large amounts of data from various sources.
• Being able to interpret data using descriptive statistics and visualizations is definitely valuable.
• Strong troubleshooting abilities to navigate obstacles and find solutions will serve you well.
• You should feel comfortable identifying any technical or timeline risks related to deliverables and know when to seek guidance.
• We encourage you to perform code reviews and share helpful feedback with your peers.
• Collaboration with multidisciplinary teams of diverse skill levels is essential, so teamwork is key!
• Your proficiency in deep code-level debugging – whether it's your own code or that of others – is appreciated.
• We’re excited if you can explain complex technical concepts to non-technical stakeholders in a clear way.
• Engaging in conversations with clients, Project Managers, Engineering, and Product teams should be something you enjoy.
• A results-driven, data-focused, entrepreneurial, and action-oriented mindset will fit right in with our culture.
• We value a high level of attention to detail.

Your Education & Experience

A bachelor’s degree and a minimum of two years of related experience (including internships, externships, or academic projects), an advanced degree with no prior experience, or equivalent hands-on work experience are required. The role also demands excellent verbal, written, and organizational communication skills. Candidates should have strong proficiency in C# and Python, as well as strong SQL skills. Experience working with relational databases such as MS SQL, PostgreSQL, or MySQL, as well as non-relational databases like MongoDB, is essential.

The position requires experience with React web development, CI/CD pipelines such as GitHub Actions, and solid capabilities in data modeling, data wrangling, and data visualization. Candidates should also have knowledge of AWS, with a focus on data-oriented cloud services, as well as familiarity with Snowflake and with Artificial Intelligence methods and their areas of applicability.

Preferred qualifications include experience with clinical trial or regulated-industry software, and experience working with REST and GraphQL APIs.