Data Engineer Snowflake/Agentic AI

Valtech; United States; Hybrid; USD 110,000 - 155,000; Full time

Benefits offered by this job

Remote/hybrid options

Career development

Learning resources

Location-based benefits

Job summary

Valtech is seeking a Senior Data Engineer based in the United States with strong Databricks and Azure experience. You will design and maintain scalable data pipelines, collaborate with cross-functional teams, and drive data reliability across batch and streaming workloads.

Must have SQL, Python, Spark, Kafka, and cloud services; familiarity with Snowflake and PostgreSQL; ability to optimize queries over huge datasets.

Qualifications

• Degree in engineering, mathematics, statistics, CS or related quantitative field.
• Experience executing data engineering, analytics, and/or data science projects.
• Strong SQL, Python, and data pipeline design required.

Responsibilities

• Demonstrate deep knowledge of the data engineering domain to build and support batch and 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.

Skills

SQL

Python

Spark

Kafka

AWS

Terraform

FastAPI

PostgreSQL

Snowflake

C# reading

Agentic AI

Education

Bachelor’s or Master’s degree in quantitative field

Tools

Snowflake

SQL Server

PostgreSQL

AWS

Terraform

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

• 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)

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.

The benefits

This is a full time position based in the United States . The offered salary range is $110-155K annually, depending on experience and location.

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.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

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.

For applicants in California, please see Valtech's CPRA Privacy Notice here .