Senior Data Engineer

valtech.com; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Valtech seeks a Senior Data Engineer to design, build, and deploy ML-enabled data solutions. You will work on Google Cloud with BigQuery, Dataflow, and Vertex AI, crafting data pipelines and dashboards that empower large enterprise clients.

The role emphasizes rigorous analytics, excellent communication, and the ability to translate ambiguous business questions into actionable data-driven insights. Ideal candidates have strong quantitative backgrounds, proficiency in SQL/Python/R, and experience

Qualifications

• Experience with Google Cloud Platform data pipelines (BigQuery, Dataflow, Storage).
• Experience applying LLM capabilities across real-world use cases.
• Degree in Engineering, Mathematics, Statistics, CS or computation-focused fields.

Responsibilities

• Analyze raw data sets to deliver impactful insights for enterprise clients.
• Engineer data pipelines and BI-ready products for decision making.
• Communicate findings visually and clearly to stakeholders.

Skills

GCP (Google Cloud)

SQL

Python

R

Data pipelines

LLMs

Vertex AI / Gemini

Data analysis

APIs

Visualization (Power BI / Looker)

Web tech (JS/React)

Education

Bachelor's/Master's in quantitative field

Tools

BigQuery

Dataflow

Cloud Storage

Power BI

Looker Studio

GitHub Actions / CI

Airflow

Luigi / Prefect

Vertex AI

Gemini

Job description

Description: Senior Data Engineer Colombia Remote The ideal Sr Data Engineer for Valtech is passionate about the experience revolution. Ideal candidates will have strong quantitative backgrounds and analytical discipline.

We’re proud of:

• What we do
• Our values
• Our workplace
• The borderless framework we work in

The role

Valtech is working on a high-impact project that leverages the latest tools from the Google AI ecosystem, including Vertex AI, Gemini, and cutting-edge LLM integrations. We are hiring a Data Engineer/Sr Data Engineer to help to \design, build, and deploy next-generation machine learning solutions using Google’s most advanced platforms. The ideal Sr Data Engineer for Valtech is passionate about the experience revolution. Ideal candidates will have strong quantitative backgrounds and analytical discipline. While they will have some demonstrated ability to write code, they will not have learned programming languages for the sake of building their resume, but rather as a means to express their intellectual curiosity and analytical voice. Valtech will provide a platform and training to help them reach their full potential.

Role responsibilities

• Analyze a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.
• Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
• Communicate analytical findings in an intuitive and visually compelling way.

Potential Responsibilities (depending on aptitude, project, and seniority)

• Design and implement AI/ML models using Google’s Vertex AI, AutoML, and Gemini APIs.
• Build data pipelines and training workflows using BigQuery, Dataflow, and Cloud Functions.
• Creating highly visual and interactive dashboards via Power BI, or Looker BI or Studio or custom web applications.
• Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success.
• Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines.
• Architecting cloud data platform components enabling the above.
• Building and tracking project timelines, dependences, and risks.
• Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions.

Minimum qualifications

• Proven experience with Google Cloud Platform (GCP), including building and maintaining data pipelines using services like BigQuery, Dataflow, and Cloud Storage.
• Experience working with large language models (LLMs), including developing, customizing, and applying LLM capabilities across a range of real-world use cases and systems.
• 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.
• Proficiency (can execute data ingestion to insight) in programmatic languages such as SQL, Python, R.

Preferred qualifications

• Hands-on experience with BigQuery Data Transfer Service and Transfer APIs to automate and manage data ingestion from various sources into BigQuery.
• Proficiency in visualization/reporting tools such as PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3.
• Proficiency with cloud architecture components (AWS, Azure, Google).
• Proficiency with data pipeline software such as Airflow, Luigi, or Prefect.
• Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action.
• Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems.
• Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development.
• Experience leading and managing technical data/analytics/machine learning projects.

We strive to create an inclusive environment for all candidates.

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, our global team of 8,000 professionals in more than 60 offices help brands unlock value in a digitally accelerated world. At the intersection of insights and perspectives, we leverage the power of data, AI, creativity, and technology to achieve experience innovation for many of the world’s best-known organisations, including L’Oreal, NatWest, DWP, P&G, Volkswagen, and US department of Agriculture. Valtech will always be recognized not just for the quality of the work we deliver, but for all the amazing people that make it happen. We work to create an equitable workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be). At Valtech, we don’t just talk about how to get things done; we transform by doing.