Strong fit for data engineers experienced in Databricks, Python, and Spark who can work remotely and collaborate cross-functionally on client projects.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Muttdata via Lever
🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
This opportunity is with a leading multinational beverage company based in Mexico City.
We are looking for an Data Engineer Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico 🐶🚀.
🚀 What We Do:
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships:
- Amazon Web Services
- Astronomer
- Databricks
🌟 Our Values:
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓:
- Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).
- Defines and maintains data contracts, quality rules, and data SLOs for each data product.
- Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).
- Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices.
- Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.
Required Skills 💻:
- Experience in Data Engineering, including building and optimizing data pipelines.
- Experience working with Databricks, Python, and Spark, building batch and streaming.
- Familiarity with a BI visualization tool like Looker or Tableau.
Nice to Have Skills 😉:
- Feature Store certification (Fundamentals / Expert) and experience with financial data.
- Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).
🎁 Perks:
- Remote-first culture – work from anywhere! 🌍
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! 🏖️)
- Referral bonuses – help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team.
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
Source: Muttdata careers (Lever)