Data Engineer - Databricks

Zurich North America; New Mexico; On-site; USD 27,681 - 41,522; Full time

Benefits offered by this job

Azure cloud experience

Job summary

Zurich Capability Center is hiring a Data Engineer specialized in Databricks to design, build, and optimize scalable data pipelines and data platforms across lakes, warehouses, and analytics environments. You will partner with data scientists and analysts to deliver reliable datasets and production-ready features.

Required skills include Python, SQL, Databricks, Spark, and ETL/ELT design, with strong data modeling and Git proficiency. Preference for Azure Data services and MLOps exposure.

Qualifications

• Bachelor's degree in CS/Engineering/IS/Math or related field.
• 3+ years in Data Engineering, Data Warehousing or Big Data.
• Strong Python and SQL programming skills.
• Hands-on with Databricks, Apache Spark, and distributed processing.
• Experience designing ETL/ELT data pipelines.
• Experience with Data Lakes and modern data architectures.
• Knowledge of Star Schema and Dimensional Modeling.
• Git and version control experience.
• English level B2 or higher.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms.
• Develop, optimize, and automate ETL/ELT processes to support analytics, reporting, and ML initiatives.
• Collaborate with Data Scientists, Analysts, ML Engineers, and stakeholders to deliver reliable datasets.
• Implement data ingestion frameworks from multiple structured and unstructured sources.
• Build and maintain data models, data lakes, and data warehouses for analytics.
• Ensure data quality, governance, and security across platforms.
• Optimize Spark workloads and Databricks for performance and cost efficiency.
• Support deployment and operationalization of ML solutions with production-ready datasets.
• Collaborate with Azure, IT, and DevOps to implement CI/CD and DataOps.
• Monitor and improve data platform performance and reliability.

Skills

Python

SQL

Databricks

Apache Spark

ETL/ELT pipelines

Data Lakes

Data modeling

Git

English B2

Education

Bachelor's Degree in CS/Engineering/IS/Math or related field

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Azure DevOps

Delta Lake

Airflow

Databricks Workflows

MLflow

Kafka

Job description

#ZCC

Zurich Capability Center is currently hiring a:

Data Engineer - Databricks

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks and cloud-based data platforms.
• Develop, optimize, and automate ETL/ELT processes to support analytics, reporting, and machine learning initiatives.
• Work closely with Data Scientists, Analysts, ML Engineers, and business stakeholders to understand data requirements and deliver reliable datasets.
• Implement data ingestion frameworks from multiple structured and unstructured data sources.
• Build and maintain data models, data lakes, and data warehouses that support enterprise analytics needs.
• Ensure data quality, consistency, governance, and security across platforms.
• Optimize Spark workloads and Databricks environments for performance and cost efficiency.
• Support deployment and operationalization of machine learning solutions by providing production-ready datasets and feature pipelines.
• Collaborate with Azure, IT, and DevOps teams to implement CI/CD and DataOps best practices.
• Monitor, troubleshoot, and continuously improve data platform performance and reliability.

Your Skills And Experience

Required

• Bachelor's Degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• 3+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
• Strong programming skills in Python and SQL.
• Hands-on experience with Databricks, Apache Spark, and distributed data processing.
• Experience designing and developing ETL/ELT data pipelines.
• Experience working with Data Lakes and modern data architectures.
• Understanding of data modeling concepts including Star Schema and Dimensional Modeling.
• Experience working with Git and version control systems.
• Strong analytical and problem-solving skills.
• English level B2 or higher.

Preferred Qualifications

• Experience with Azure Data Platform services, including:
  • Azure Databricks
  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Synapse Analytics
  • Azure DevOps
• Experience working with Delta Lake and Lakehouse architecture.
• Knowledge of orchestration tools such as Airflow, Databricks Workflows, or Azure Data Factory.
• Experience supporting Machine Learning use cases and MLOps practices.
• Familiarity with MLflow and model deployment processes.
• Knowledge of CI/CD, Infrastructure as Code, and DataOps practices.
• Experience with streaming technologies such as Kafka or Event Hubs.
• Experience working in Agile environments.
• Insurance industry experience is a plus.

Nice to Have

• Experience collaborating with Data Science teams and supporting AI/ML initiatives.
• Knowledge of Generative AI, LLM data pipelines, vector databases, and embedding workflows.
• Experience with Unity Catalog, data governance, and metadata management.
• Exposure to cloud-native architectures and enterprise-scale data platforms.

Position available only for candidates located in Mexico City, State of Mexico, or Guadalajara. Please apply only if you reside in one of these areas.

Who We Are

Looking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.

So be challenged. Be inspired. Help us make a difference.

At Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.