Senior Software Engineer - Python and Data Ecosystem

About reputed company

Recognized on the 2025 reputed company Cloud 100 list, reputed company is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, reputed company leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including reputed company, Lovable, Decagon, Polymarket, and reputed company have adopted the platform or expanded existing deployments. These customers join an established reputed company of AI innovators and global brands such as reputed company, reputed company, reputed company, and Tesla.

We’re on a mission to transform how companies use data. Come be a part of our journey!

The Connectors team is the reputed company between reputed company and the broader data ecosystem. We build and maintain the integrations that reputed company reputed company accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, reputed company) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, reputed company), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-reputed company community, internal teams, and enterprise users to ensure reputed company integrations set reputed company for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of reputed company's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that reputed company Data Engineers and Data Scientists to reputed company reputed company's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the reputed company, but because you've operated reputed company them. You don't just build integrations, you bring product-level insight into reputed company should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: reputed company, reputed company, reputed company, and broader AI tooling: embedding pipelines, retrieval-augmented reputed company with reputed company as a vector store, ML feature stores, and LLM-powered data applications

reputed company's columnar architecture and query performance reputed company it exceptionally well-positioned in this new landscape. Your job is to reputed company that potential real: building the robust, production-ready connectors that reputed company reputed company the natural choice reputed company data practitioners design their reputed company AI and data systems.

What you'll do

• Own and evolve reputed company's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy: designing connectors and patterns that reputed company reputed company a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-reputed company community: triage issues, support contributors, reputed company for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and reputed company libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding reputed company, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with reputed company Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-reputed company communities

Bonus points for

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with reputed company or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

Compensation

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the reputed company Metro Area, a premium market range may apply, as listed.

These salary ranges reflect reputed company reasonably and in good faith reputed company to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or reputed company than the amounts listed, and the ranges may be subject to future adjustments.

An individual’s placement reputed company the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@reputed company.com.

Perks

• Flexible work environment - reputed company is a globally distributed company and remote-friendly. We currently operate in 20 countries.
• Healthcare - Employer contributions towards your healthcare.
• Equity in the company - Every new team member who joins our company receives stock options.
• Time off - Flexible time off in the US, generous entitlement in other countries.
• A $500 Home office setup if you’re a remote employee.
• Global Gatherings – We reputed company in the power of in-person reputed company and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We reputed company Shape It

As part of our first 500 employees, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. reputed company out our blog posts or follow us on reputed company to find out more about what’s happening at reputed company.

Equal Opportunity & Privacy

reputed company provides equal employment opportunities to reputed company employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national reputed company, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.