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Data Developer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of Octus. We are currently looking for a Data Developer in United States.. As a Data Developer, you will play a critical role in building and maintaining scalable data pipelines and systems that drive business-critical analytics. You will work closely with cross-functional teams to onboard new client data, optimize ETL workflows, and support both operational and strategic data initiatives. This role involves leveraging modern Python and database technologies to ensure high-quality, reliable, and actionable data across the organization. You will contribute to both backend development and data engineering processes while improving internal documentation, resolving production issues, and supporting team-wide knowledge sharing. Ideal candidates thrive in a collaborative, fast-paced environment and are motivated to learn, innovate, and deliver solutions that enhance business value.. Accountabilities. ·         Design, implement, and maintain ETL pipelines using Python to efficiently onboard client data.. ·         Build, support, and optimize the Snowflake data platform and related workflows.. ·         Collaborate with the data team to integrate new data sources into the MySQL application database.. ·         Assist in troubleshooting production issues, ensuring timely resolution and minimal downtime.. ·         Improve and maintain internal documentation for data processes and technical solutions.. ·         Contribute to code quality through thoughtful development practices and participation in code reviews.. ·         Support team collaboration, knowledge sharing, and process improvements across projects.. ·         Bachelor’s degree in Computer Science or a related field.. ·         5+ years of experience with Python 3.x and relevant packages such as Pandas, NumPy, Boto3, and SQLAlchemy.. ·         5+ years of experience with relational and NoSQL databases.. ·         Familiarity with server-side API frameworks such as REST is a plus.. ·         Experience with Python packages for data science and visualization (Scikit-Learn, SciPy, Matplotlib, PyTorch) is desirable.. ·         Knowledge of financial data domains, including trades, positions, instruments, issuers, and pricing, is a plus.. ·         Strong problem-solving, communication, and collaboration skills.. ·         Commitment to clean, maintainable, and consistent code practices, including participation in Git workflows and code reviews.. Company Location: United States.