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Data Engineer Senior - Databricks

Argentina

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • Co-develop batch and streaming pipelines, semantic models and transformations on Databricks

  • Define and maintain data contracts, quality rules and data SLOs for each data product

  • Guide domain teams on data modeling and data product boundaries

  • Train, mentor and pair with domain engineers and analysts on data product ownership

  • Feed domain best practices back into platform templates, tooling and patterns

From the employer’s posting
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
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.

What you’ll bring

All qualifications

Core experience

  • Experience in data engineering, including building and optimizing data pipelines
  • Experience working with Databricks, Python and Spark, building batch and streaming
  • Intermediate level of English
  • Familiarity with a BI visualization tool such as Looker or Tableau
Qualification wording
Experience in Data Engineering, including building and optimizing data pipelines.
Experience working with Databricks, Python, and Spark, building batch and streaming.
Intermediate level of English.
Familiarity with a BI visualization tool like Looker or Tableau.

Tools in this posting

  • Python
  • AWS
  • Azure
  • Databricks
  • dbt
  • Looker
  • Spark
  • Tableau
  • GCP
Source — Tool mentions in context
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.
- Experience in Data Engineering, including building and optimizing data pipelines. - Experience working with Databricks, Python, and Spark, building batch and streaming. - Intermediate level of English.
🌟 Our Partnerships - Amazon Web Services - Astronomer
- 💪 Wellhub or sports club stipend to stay active - 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- Astronomer - Databricks 🌟 Our Values
- Intermediate level of English. - Familiarity with a BI visualization tool like Looker or Tableau. 🎁 Perks

Posting record

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Status in our records
Live
First seen by us
Aug 21, 2026 · 67 days ago
Recorded sightings
30
Last seen by us
Oct 28, 2026
Employer says posted
Aug 13, 2026

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Job description

View original posting ↗

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
 
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
 
We’re looking for a Data Engineer Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

🚀 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.
  • Intermediate level of English.
  • Familiarity with a BI visualization tool like Looker or Tableau.

🎁 Perks

  • 🌍 Remote-first culture – work from anywhere!
  • 🚀 In-Company English Lessons.
  • 💪 Wellhub or sports club stipend to stay active
  • 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • 🍕 Food credits via Pedidos Ya – because great work deserves great food.
  • 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • 🤝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

Employment type

Remote - Latam

Source details

View original posting ↗

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Pay

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Location & working pattern

Argentina

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀 Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
More source context
🎁 Perks - 🌍 Remote-first culture – work from anywhere! - 🚀 In-Company English Lessons.

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