Senior Software Engineer - Python and Data Ecosystem

1. About Our Client:

This organization operates in the cloud computing and data analytics industry, specializing in real-time analytics, data warehousing, observability, and AI workloads. It addresses the challenge of processing massive datasets efficiently by providing a high-performance database platform used by over 3,000 customers worldwide. The company has demonstrated rapid growth with annual recurring revenue increasing over 250 percent year over year, supported by a recent $400M Series D financing round. Its customer base includes prominent global brands and AI innovators, reflecting its significant impact and reach in the data ecosystem.

2. About the Opportunity:

The Senior Software Engineer - Python and Data Ecosystem will own and develop key Python integrations that connect the organization’s database platform to the broader data ecosystem. This role bridges high-performance database engineering with developer tools, enabling Data Engineers and Data Scientists to leverage the platform’s capabilities within familiar frameworks. The position plays a critical role in shaping integrations for orchestration platforms, transformation tools, and AI/LLM workflows, directly influencing how data practitioners build next-generation AI and data systems.

3. Responsibilities:

• Own and improve the Python connector and SDK ecosystem, enhancing performance, reliability, and API design

• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise standards

• Lead AI/LLM integration strategy, designing connectors for RAG architectures, ML feature pipelines, and LLM-powered data applications

• Engage with the open-source community by triaging issues, supporting contributors, advocating for users, and informing the roadmap

• Collaborate with Product, Cloud, and engineering teams to align integration projects with platform priorities

• Incorporate practical Data Engineer and Data Scientist experience to guide roadmap and prioritization decisions

4. Requirements:

• 7+ years of software development experience, preferably with hands-on background as a Data Engineer, Data Scientist, or ML Engineer

• Proven experience designing and maintaining production-grade Python connectors, SDKs, or integrations for major platforms (orchestration, BI, MLOps, or data transformation)

• Strong familiarity with the Python data ecosystem including Pandas, NumPy, and Pydantic

• Practical experience or contributions related to data orchestration tools such as Airflow, Dagster, or Prefect

• Hands-on experience deploying AI/ML workflows in data engineering contexts, including embedding generation, vector search, and feature pipelines

• Solid understanding of database fundamentals, including SQL, data modeling, query optimization, and OLAP/analytical databases

• Experience with concurrent Python programming: threading, multiprocessing, and async patterns

• Excellent communication skills, with ability to collaborate across teams and engage with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases

• Prior product-facing or platform role experience as a Data Engineer or Data Scientist

• Familiarity with high-performance OLAP platforms similar to the organization’s technology

• Knowledge of the JVM ecosystem

5. Pay Range and Compensation Package:

• The typical starting salary for this role in the US is $141,000—$208,000 USD

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.