Data Engineer

The Data Engineer will design and implement internal data architecture and build scalable data services and pipelines. They will also collaborate with product owners to analyze raw data and identify opportunities for business growth.

Data Engineer

The Data Engineer will design, build, and maintain scalable data infrastructure and ETL/ELT pipelines to ensure efficient data collection and processing. They will collaborate with data scientists and analysts to provide clean, structured datasets while optimizing storage and ensuring data security.

Data Engineer

You will design, build, and maintain scalable ETL/ELT pipelines while managing and optimizing core financial database infrastructure on GCP. Additionally, you will ensure 99.99% availability for mission-critical systems and integrate Generative AI tools to automate workflows and improve performance.

Data Engineer

Design, build, and operate modern cloud-native data warehouses and robust ELT/ETL pipelines from the ground up. Collaborate with U.S. C-suite stakeholders to translate business requirements into technical architecture and ensure data security compliance.

Data Engineer

Design, build, and optimize scalable data solutions to enable integration and processing for analytics and business intelligence. Collaborate with multidisciplinary teams to ensure data availability for data science initiatives.

Data Engineer

Design, develop, and optimize scalable data pipelines and analytics solutions using the Databricks platform. This includes implementing ETL/ELT processes, managing data replication via HVR, and collaborating with data scientists for ML workloads.

Data Engineer

The role involves playing a crucial part in building, managing, and maintaining large-scale data infrastructures. The engineer will focus on integrating data solutions using Databricks and other cloud technologies.

Data Engineer 478 applicants

Build and maintain scalable, reliable data pipelines and govern performant cloud-deployed relational and non-relational databases. Collaborate on secure architecture definitions to drive data systems toward near real-time performance.

FBS Data Engineer (SnowFlake)

Senior AI Data Engineer

The Senior AI Data Engineer will design and maintain the data foundation, including modeling and quality control for AI systems and LLM pipelines. This role involves close collaboration with data scientists to ensure robust data retrieval and feature layers for analytical products.

Senior Data Engineer

Define and implement architectural solutions to ensure the scalability and speed of data pipelines using Medallion Architecture. Lead the adoption of cloud-native solutions and drive best practices for ETL/ELT workflows, data governance, and security.

Software Engineer, Data Infrastructure & Acquisition - Guadalajara, Mexico

The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists to optimize data quality and infrastructure costs while defining the dataset roadmap.

Big Data Engineer

You will design, build, and maintain core data infrastructure while developing robust ETL/ELT pipelines using Snowflake and AWS. The role involves collaborating with stakeholders to translate financial workflows into scalable data models and ensuring high data quality through automated testing and governance.

Senior Data Engineer (Oracle)

Design, develop, and maintain data pipelines to migrate financial data from legacy Oracle databases to an Oracle ERP environment. Collaborate with stakeholders to translate business rules into data mappings while utilizing AI tools to streamline integration and validation processes.

Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico

The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for new products.

Senior Data Engineer

You will lead and mentor the engineering team while ensuring high-quality project delivery for customers. Additionally, you will design, maintain, and optimize scalable data pipelines and infrastructure within the Google Cloud environment.

Senior Python Software Engineer - Data Engineer

Develop and execute data and cloud migration frameworks to transition on-premise assets to Snowflake and Azure platforms. Collaborate with cross-functional teams to maintain software solutions, ensure code quality, and drive innovation in enterprise AI products.

Senior Data Engineer

You will lead the design and implementation of data contracts and Delta Sharing capabilities to ensure secure, governed data access across the enterprise. You will also build automated quality checks and mentor junior engineers to establish platform-wide data standards.

Data Engineer Lead

Design and build scalable, cloud-native data platforms while mentoring other engineers to foster a culture of continuous improvement. Create robust ETL/ELT pipelines and support data governance efforts to ensure data quality and lineage.

Data Engineer Lead

Design and build scalable, cloud-native data platforms while mentoring other engineers to foster a culture of continuous improvement. Develop robust ETL/ELT pipelines and ensure data governance, lineage, and quality across the platform.

Data Engineer Sr

You will build and maintain robust ETL/ELT pipelines on big data platforms while optimizing performance and cost. Additionally, you will contribute to CI/CD workflows and collaborate with product managers to develop new data-driven features.

Sr. Data Engineer (Snowflake)

Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads. Collaborate with cross-functional teams to integrate data pipelines and ensure high availability and reliability of data infrastructure.

Senior Data Engineer

The Senior Data Engineer will design, build, and maintain scalable ELT pipelines using Snowflake, dbt, and Apache Airflow. They will also mentor team members, optimize platform performance, and support downstream reporting through modern BI tools.

Software Engineer, Data Infrastructure & Acquisition - Monterrey, Mexico

The role involves managing data collection for model training and operating cloud infrastructure for ingestion pipelines. You will collaborate with scientists to optimize data quality and scale while contributing to the AI team's dataset roadmap.

Senior Data Engineer

Design, develop, and optimize scalable data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python. Collaborate with cross-functional teams to translate business requirements into robust data models and maintain data infrastructure.

Senior Data Engineer - Databricks

The Senior Data Engineer will implement data management solutions on AWS, including developing ETL jobs and managing Databricks-based lakehouse platforms. They will also troubleshoot performance issues and contribute to solution design and engineering standards within a cross-functional team.

Analytics Engineer – Data Engineering & Power BI

The role involves building and maintaining data pipelines using dbt and Airflow while developing reliable data models for analytics. Additionally, the candidate will create Power BI dashboards and translate business requirements into effective reporting solutions.

Senior Data Engineer

You will lead the evolution of the data stack by building scalable infrastructure for product intelligence, financial reporting, and self-serve analytics. You will collaborate with cross-functional teams to define data architecture, ensure data quality, and implement best practices across the enterprise.

Data Engineer (Business Financing sphere)

The Data Engineer will build and scale a Snowflake-based data platform while migrating existing Alteryx workflows into governed, production-ready data products. Responsibilities include developing transformation logic with dbt, maintaining orchestration workflows, and implementing data quality monitoring.

Senior Data Engineer

The role involves building, maintaining, and optimizing scalable data pipelines and modular code components using Databricks or Snowflake. You will also be responsible for refactoring legacy code and collaborating with cross-functional teams to ensure high-quality, performant data models for analytics.