Data Engineer Senior - Databricks - Eng
Argentina
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What youโll work on
Full postingCo-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 employerโs 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 youโll bring
All qualificationsCore experience
- Experience in data engineering, building and optimizing data pipelines
- Experience 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 โ Tool mentions in context
Responsibilities ๐ค - 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.
๐ Our Partnerships - Amazon Web Services - Astronomer
- Remote-first culture โ work from anywhere! ๐ - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - In-Company English Lessons.
- Astronomer - Databricks ๐ Our Values
- Intermediate level of English. - Familiarity with a BI visualization tool like Looker or Tableau. ๐ Perks
Posting record
Report an errorOpen 6 monthsWe first saw this posting 195 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 16, 2026 ยท 195 days ago
- Recorded sightings
- 135
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employerโs website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
๐ 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.
๐ Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
๐ Our Values
- ๐ We are Data Nerds
- ๐ค We are Open Team Players
- ๐ We Take Ownership
- ๐ We Have a Positive Mindset
Responsibilities ๐ค
- 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 ๐ป
- 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.
๐ Perks
- Remote-first culture โ work from anywhere! ๐
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! ๐๏ธ)
- Referral bonuses โ help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- โ๏ธ๐๏ธ Annual Mutters' Trip โ an unforgettable getaway with the team!
- ๐ถ Monthly Childcare Reimbursementย โ Because supporting families matters too
Employment type
Remote - Latam
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Argentina
๐ Join Our Data Products and Machine Learning Development Remote Startup! ๐ Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
More source context
๐ Perks - Remote-first culture โ work from anywhere! ๐ - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
More relevant text appears in the full description.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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