Data Developer (Remote - US) - job 2 of 2

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.

·         Competitive salary range: $110,000–$150,000, with actual compensation based on experience, skills, and location.

·         Participation in equity programs.

·         Comprehensive healthcare coverage.

·         401(k) retirement plan with matching.

·         Paid parental leave.

·         Generous PTO and flexible work arrangements.

·         Wellness and professional development stipends.

·         Remote-first work environment within the United States.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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