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#8 Data Engineer Senior - Databricks - Mexico
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll 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 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 qualificationsCore experience
- Experience in data engineering, building and optimizing data pipelines
- Experience with Databricks, Python and Spark, building batch and streaming
- 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.
Familiarity with a BI visualization tool like Looker or Tableau.
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Muttdata is hiring
30 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- Databricks
- dbt
- Looker
- Spark
- Tableau
- GCP
Where the posting names them
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. - Familiarity with a BI visualization tool like Looker or Tableau.
🌟 Our Partnerships - Amazon Web Services - Astronomer
- Remote-first culture – work from anywhere! 🌍 - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - In-Company English Lessons.
- Astronomer - Databricks 🌟 Our Values
- 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 😉
Your next step
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
🚀 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
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
Employment type
Remote - Latam
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mexico
🚀 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.
More source context
🎁 Perks - Remote-first culture – work from anywhere! 🌍 - 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.