Data Engineer Senior DBT
Company shown to members 🔒 · Remote · Argentina only
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First recorded by Psst: 9 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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The 20-second read
- Experience
- Senior
- Where you can live
- Argentina only
- Languages
- English
- Skills and tools
- forecasting, sql, python, tableau, looker, aws
Read from the ad by Psst's rules. Check the full ad below before applying.
Job details
- Where you can work
- Argentina
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- Senior
- Employer publication date
- 13 March 2026
- First recorded by Psst
- 9 November 2026
- Last checked at the source
- 10 November 2026
About the job
🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
The company 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 🤓
- Partner with cross-functional teams to define BI and analytics
requirements
- Innovate with new tools to improve the company's infrastructure and processes.
- Design dimensional data models and build scalable data pipelines
- Develop data models to feed dashboards for teams across the org, as well
as client-facing analytics
- Develop tools for the team and assist in tech migrations and model design.
- Build scalable, high-performance data architectures.
- Focus on code quality—review, document, test, and integrate CI/CD.
Required Skills 💻
- Experience in Data Engineering, including building and optimizing data pipelines.
- Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
- Intermediate level of English.
- Experience working with dbt for data transformation and cloud platforms such as AWS. Familiarity with modern data stack tools, including Snowflake, is a plus.
- Basic knowledge of Docker.
- Experience with orchestration tools like Airflow or Prefect.
- Familiarity with a BI visualization tool like Looker or Tableau.
🎁 Perks
- 🌍 Remote-first cultur e – 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
Apply free: 3 jobs are on us✨ Tailor my resume for this jobPrepare with the Apply kitMore remote data engineer jobs →
- Open 8 months
- No pay listed
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