What are the responsibilities and job description for the Senior Software Engineer - Python and Data Ecosystem position at Jobgether?
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer - Python and Data Ecosystem in Israel.
We are seeking an experienced Senior Software Engineer to design, build, and maintain Python-based integrations within a high-performance data ecosystem. In this role, you will own critical connectors, SDKs, and integration workflows that enable Data Engineers and Data Scientists to leverage large-scale databases, orchestration platforms, and AI/ML pipelines. You will work closely with internal engineering teams and the broader open-source community to ensure reliability, scalability, and optimal developer experience. This position offers the chance to shape next-generation data infrastructure, contribute to AI-powered workflows, and drive impact across global enterprise and AI applications. The ideal candidate brings a practitioner’s perspective, strong Python expertise, and hands-on experience with modern data tools.
Accountabilities
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We are seeking an experienced Senior Software Engineer to design, build, and maintain Python-based integrations within a high-performance data ecosystem. In this role, you will own critical connectors, SDKs, and integration workflows that enable Data Engineers and Data Scientists to leverage large-scale databases, orchestration platforms, and AI/ML pipelines. You will work closely with internal engineering teams and the broader open-source community to ensure reliability, scalability, and optimal developer experience. This position offers the chance to shape next-generation data infrastructure, contribute to AI-powered workflows, and drive impact across global enterprise and AI applications. The ideal candidate brings a practitioner’s perspective, strong Python expertise, and hands-on experience with modern data tools.
Accountabilities
- Own the design, development, and maintenance of Python connectors, SDKs, and integrations for data orchestration and transformation tools.
- Build robust solutions that enable AI/ML pipelines, vector stores, and RAG architectures using high-performance database platforms.
- Collaborate cross-functionally with Product, Cloud, and Engineering teams to align integration efforts with platform priorities.
- Engage with the open-source community: triage issues, support contributors, and incorporate user feedback into roadmap decisions.
- Ensure code quality, performance, and reliability across all production-grade integrations.
- Provide thought leadership on data engineering workflows and AI/ML integration strategies.
- 7 years of software development experience, with hands-on experience as a Data Engineer, Data Scientist, or ML Engineer.
- Proven expertise in designing and maintaining production-grade Python connectors, SDKs, or integrations.
- Deep familiarity with Python data libraries: Pandas, NumPy, Pydantic, and related tools.
- Experience with data orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt, SQLMesh).
- Practical knowledge of AI/ML workflows: embedding generation, vector search, feature pipelines, and LLM-powered applications.
- Strong understanding of database fundamentals: SQL, data modeling, query optimization, OLAP/analytical systems.
- Proficiency with concurrent Python: threading, multiprocessing, and asynchronous programming.
- Excellent communication skills and experience collaborating across engineering teams and open-source communities.
- Bonus: experience with deploying AI/ML models in production, familiarity with ClickHouse or other high-performance OLAP platforms, and JVM ecosystem knowledge.
- Competitive salary with market-aligned compensation.
- Stock options or equity participation.
- Flexible remote-first work environment.
- Employer contributions toward healthcare.
- Generous time-off policy and flexible leave.
- $500 home office setup for remote employees.
- Global company gatherings and offsite opportunities.
- Chance to shape company culture and drive impactful engineering initiatives.
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.