Contact us

Senior Data Engineer

United States - Remote

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 

 

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: 

  • Strong expertise in the following:  
    • Databricks SQL / Spark SQL 
    • PySpark - using spark for data processing tasks like filtering, aggregating, joining, and transforming data 
    • Pandas 
    • Familiarity with Databricks workspace, clusters, jobs/workflows, and notebooks 
    • ETL pipelines to move data from raw zone to processed zones 
    • Databricks Delta Lake 
    • Databricks REST API for automation / integration with external services 
  • Collaborative, proactive, communicative, able to work remotely while remaining engaged as a team member. 
  • Strong analytical and design skills. 
  • 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  

  • Familiarity with visualization/reporting tools such as Tableau and PowerBI. 
  • Proficiency scripting in UNIX environment 
  • Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.  
  • Proficiency with cloud architecture components (AWS, Azure, Google) 
  • Proficiency with data pipeline software such as Airflow, Azure Data Factory, or Prefect 
  • Familiarity with front and back-end web application stacks and frameworks (JavaScript, HTML, CSS, React/Vue/AngularJS) and  API design and usage (REST/GraphQL)  
  • Experience leading and managing technical data/analytics/machine learning projects 

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. 

 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 

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. 

  

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

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

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.

Contact us

We would love to hear from you! Please fill out the form and the nearest person from office will contact you. 
Should you need an alternative format and/or communication support to provide feedback please contact Sheree Atcheson.

Let's reinvent the future