Data Engineer Semi Senior - Databricks

Muttdata
Argentina
RemoteCareer-pivot friendly

Who this role is best for

A natural match if you have experience with Databricks, Python, and Spark in building batch and streaming pipelines.

Best fit for

  • Candidates with experience in building scalable data infrastructures and ML systems for e-commerce and retail.
    — “Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.”
  • Professionals who thrive in remote-first environments and are interested in optimizing cloud-based systems.
    — “Remote-first culture – work from anywhere!”

Things to consider

  • The role requires fluency in English for effective collaboration and communication.
    — “Basic/Intermediate level of English.”
  • Candidates should be prepared to engage in cross-functional team collaboration regularly.
    — “Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).”

How to stand out

  • Highlight experience with semantic models and data transformations on Databricks in your resume.
    — “Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).”
  • Emphasize your ability to define and maintain data contracts and quality rules.
    — “Defines and maintains data contracts, quality rules, and data SLOs for each data product.”
  • Showcase your ability to capture feedback and improve platform templates and tooling.
    — “Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.”
  • Demonstrate your familiarity with BI visualization tools like Looker or Tableau during interviews.
    — “Familiarity with a BI visualization tool like Looker or Tableau.”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • optimized data pipelines
  • enhanced data quality
Typical background
data engineeringcloud computing

Skills & requirements

Required

Data EngineeringDatabricksPythonSpark

Preferred

BI Visualization ToolsCloud Platforms

Stack & domain

Data EngineeringDatabricksPythonSparkLookerTableauCommunicationProblem-solvingTeamworkMultitaskingAWSdbtGoogle CloudAzureBig DataMachine LearningCloud Computing

About the role

Original posting from Muttdata via Lever

🚀 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 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 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

Source: Muttdata careers (Lever)

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