Copy of Data Engineer Snowflake/Agentic AI

Valtech; United States; Hybrid; USD 29,000 - 48,000; Full time

Benefits offered by this job

Remote work options

Hybrid work options

International mobility

Professional development programs

Job summary

Valtech is seeking a Senior Data Engineer with a strong background in data engineering, Databricks and Azure. Proficiency in SQL and Python is essential, with experience in Spark, data management, cloud services and automation tools.

You will build scalable data pipelines (batch and real-time), ensure high availability, document systems, and provide expert consultation for complex programs while aligning with a global, innovation-driven culture.

Qualifications

• Proven experience delivering data engineering, analytics, or data science projects or a degree in quantitative fields.
• Strong background in data engineering with batch and real-time pipelines.

Responsibilities

• Build and support non-interactive (batch, distributed) and real-time data pipelines.
• Develop fault-tolerant, self-healing data computation pipelines.
• Provide consultation and lead implementation of complex programs.
• Document systems and projects thoroughly.
• Tune queries over billions of rows in distributed engines.
• Perform root-cause analysis to resolve issues.

Skills

Agentic AI

Snowflake

SQL Server

PostgreSQL

Python + FastAPI

scikit-learn

Acceptance/likelihood models

Kafka

C# reading

AWS basics

Terraform

Education

Quantitative studies degree (Engineering, Mathematics, Statistics, CS)

Tools

Databricks

Azure

Job description

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you’re pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are proud of:

• The work we do and the innovation we drive
• Our values of share, care and dare
• A workplace culture that fosters creativity, diversity and autonomy
• Our borderless, global framework, which enables seamless collaboration

The role

For the Senior Data Engineer role, it’s important to have a strong background in data engineering, specifically within Databricks and Azure. To effectively manage this project and move data between zones in Databricks, the ideal candidate should be proficient in SQL and Python. They should also be comfortable with Spark, data management, cloud services, and automation tools.

Role responsibilities

• Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
• Provide consultation and lead the implementation of complex programs
• Develop and maintain documentation relating to all assigned systems and projects
• Tune queries running over billions of rows of data running in a distributed query engine
• Perform root cause analysis to identify permanent resolutions to software or business process issues

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

• • Agentic AI, Snowflake
  • SQL Server (T-SQL, query-heavy, not ORM)
  • PostgreSQL (read-only, for the Cargotel replica)
  • Python + FastAPI
  • scikit-learn (percentiles, outlier detection)
  • Understands acceptance/likelihood models (carrier-accept-probability logic)
  • Kafka (consuming, not building)
  • Can read C# well enough to extract logic (not write it)
  • AWS basics: S3, RDS, Secrets Manager, CloudWatch
  • Terraform (read fluency)
• Proven industry experience executing data engineering, analytics, and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.

Nice to have qualifications

• • SQL Server (T-SQL, query-heavy, not ORM)
  • PostgreSQL (read-only, for the Cargotel replica)

The benefits

This is a full time position based in Colombia

Beyond a competitive compensation package, we offer:

• Flexibility, with remote and hybrid work options (country-dependent)
• Career advancement, with international mobility and professional development programs
• Learning and development, with access to cutting-edge tools, training and industry experts

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.

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Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com.