Senior Python Engineer

3 Minutes ago • 4 Years + • $225,000 PA - $300,000 PA
Software Development & Engineering

Job Description

DataHub is seeking a Senior Python Engineer to lead the development of its Platform framework, which is crucial for connecting diverse data systems and powering metadata collection. This role involves building scalable, fault-tolerant ingestion systems, intuitive APIs for the connector ecosystem, and event-driven architectures for real-time metadata processing. The engineer will also work on schema mapping and versioning systems for AI assets, directly impacting how thousands of organizations deploy AI safely and effectively.
Good To Have:
  • Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt)
  • Open-source contributions
  • Early-stage startup experience
Must Have:
  • Build scalable, fault-tolerant ingestion systems for enterprise-scale metadata
  • Build clean, intuitive APIs for our connector ecosystem
  • Build event-driven architectures for real-time metadata processing
  • Build schema mapping between diverse systems and DataHub's unified model
  • Build versioning systems for AI assets (training data, model weights, embeddings)
  • 4+ years building production-grade distributed systems
  • Advanced Python expertise with a focus on API design
  • Experience with high-scale data processing or integration frameworks
  • Strong systems knowledge and distributed architecture experience
  • A track record of solving complex technical challenges
Perks:
  • Competitive compensation
  • Equity for everyone
  • Remote Work (if specified in job description)
  • Location flexibility (monthly coworking stipend)
  • Comprehensive health coverage (99% medical, dental, vision for employees, 65% for dependents)
  • Flexible savings accounts (FSAs, Dependent Care FSA)
  • Support for every path to parenthood (Carrot Fertility)
  • Unlimited PTO and sick leave policy

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DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.

The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.

The Challenge

As AI and data products become business-critical, enterprises face a metadata crisis:

  • No unified way to track the complex data supply chain feeding AI systems
  • Engineering teams struggling with data discovery, lineage, and governance
  • Organizations needing machine-scale metadata management, not just human-browsable catalogs

Why This Matters

This is where infrastructure meets impact. The metadata layer you'll build will directly power the next generation of AI systems at massive scale. Your code will determine how safely and effectively thousands of organizations deploy AI, affecting millions of users worldwide.

The Role

We're looking for an exceptional Python engineer to lead development of DataHub's Platform framework – the core that connects diverse data systems and powers our metadata collection capabilities.

You'll Build

  • Scalable, fault-tolerant ingestion systems for enterprise-scale metadata
  • Clean, intuitive APIs for our connector ecosystem
  • Event-driven architectures for real-time metadata processing
  • Schema mapping between diverse systems and DataHub's unified model
  • Versioning systems for AI assets (training data, model weights, embeddings)

You Have

  • 4+ years building production-grade distributed systems
  • Advanced Python expertise with a focus on API design
  • Experience with high-scale data processing or integration frameworks
  • Strong systems knowledge and distributed architecture experience
  • A track record of solving complex technical challenges

Bonus Points

  • Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt)
  • Open-source contributions
  • Early-stage startup experience

Benefits and Perks

We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.

Competitive compensation

We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.

Equity for everyone

Every team member receives an ownership stake in the company. When we grow, you grow with us.

Remote Work

All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid.

Location flexibility

Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.

Comprehensive health coverage

Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.

Flexible savings accounts

We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.

Support for every path to parenthood

Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.

Time off that works for you

We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.

Why Join Us

DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.

By joining our team, you’ll:

  • Tackle high-impact challenges at the heart of enterprise AI infrastructure
  • Ship production systems that power real-world use cases at global scale
  • Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
  • Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more

If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!

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