#6 - Data Engineer Semi Senior - Databricks

Muttdata; Argentina; Remote; ARS 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote-first culture

English lessons

Wellhub stipend

AWS certification coverage

DBT certification coverage

Google Cloud certification coverage

Azure certification coverage

Databricks certification coverage

Food credits via Pedidos Ya

Birthday off

Extra vacation week

Job summary

Muttdata, a remote-first startup, is seeking a Data Engineer Semi Senior to help advance our data platforms and ML-driven products using Databricks, Python, and Spark. You will build batch and streaming pipelines and help define data contracts and quality rules across data products.

Join a culture of data nerds and ownership, with opportunities to mentor teammates, shape data models, and contribute to growth across client projects globally.

Qualifications

• Experience in building and optimizing data pipelines.
• Experience with Databricks, Python, and Spark for batch and streaming.
• English at a basic to intermediate level.
• Familiarity with a BI tool like Power BI.

Responsibilities

• Co-develop 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 best practices.
• Captures feedback and improvements into platform templates, tooling, and patterns.

Skills

Data pipelines

Databricks

Python

Spark

English (basic–intermediate)

Power BI

Tools

Databricks (Workflows/Repos)

AWS

GCP

Kubernetes

Job description

Join Our Data Products and Machine Learning Development Remote Startup!

Muttdata 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 Semi 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.
• Basic/Intermediate level of English.
• Familiarity with a BI visualization tool like Power BI

Nice to Have Skills

• Hands-on experience with Databricks (Workflows, Jobs, Repos).
• Experience with other cloud providers (AWS, GCP)
• Experience with Kubernetes in production environments.

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