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Top Data Engineer Jobs in Mexico
The Sr. Data Engineer will design and build data pipelines for massive datasets, collaborating with data science and engineering teams. Responsibilities include constructing pipelines for integrating millions of entities, running ML models, and developing data services to support Windfall's core data asset.
The Lead Data Engineer is responsible for designing and building solutions for banking data management. Key duties include collaborating with teams to develop data solutions, maintaining data platforms, and mentoring team members, while ensuring high-quality standards and regulatory compliance.
As a Senior Data Engineer at Lynx, you'll develop and implement robust scalable data solutions, create complex ETLs, and collaborate with multiple teams to drive the data platform, transforming patient care through effective data utilization.
The Senior Data Engineer at Cleo will design and maintain data pipelines and infrastructure to optimize for AI/ML applications. Responsibilities include setting data strategy, implementing data transformation processes, ensuring data quality, and collaborating with cross-functional teams to support machine learning initiatives.
The Software Engineer will develop, maintain, and enhance complex software systems while participating in design reviews, testing, and problem resolution. Responsibilities include supporting teams like API, DevOps, Customer Support, UI, and Data Management using various programming skills and methodologies.
The Senior Data Engineer will design and implement data solutions for Digital Marketing Analytics, focusing on data integration and reporting. Responsibilities include developing data models, managing ELT processes with dbt, ensuring data quality, mentoring teammates, and resolving operational issues.
Join the Data Platform Team at Altruist as a Senior Data Engineer to develop and maintain scalable data pipelines, build data integrations, collaborate with teams on data models, perform data analysis, manage data tools, and provide support for product teams. Requires 5+ years of experience in data lakes and data warehouses, familiarity with object-oriented programming languages, and expertise with various data tools and technologies. Degree in Computer Science or equivalent experience is required.
The Senior Data Engineer will design and build infrastructure for data ingestion, transformation, and loading, utilizing technologies like Spark, SQL, and AWS. They will develop CI/CD pipelines, anomaly detection systems, and collaborate with teams to resolve data-related technical issues, all while managing a growing volume of diverse data.
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As a Senior Data Engineer, you will extend the data warehouse, develop ETL batch data pipelines, use stream processing technologies, support existing products, and build data analytics solutions. Collaborating with engineers and product managers, you will contribute to data insights and machine learning applications.
The Senior Data Engineer performs analytics and statistical modeling on existing datasets, focusing on data processing, cleaning, analysis, and visualization. This role involves managing projects, coaching lower-level professionals, analyzing complex business requirements, and producing reports and dashboards. The engineer conducts quantitative and qualitative analyses to support decision-making processes.
The Senior Data Engineer will design and implement data processing pipelines and work with various technologies to support and improve FreeWheel’s identity and audience data platform, ensuring it handles data at scale and meets complex requirements.
As a Senior Data Engineer, you will build and optimize data architectures for real-time analytics and reporting, focusing on event streaming and data warehousing. You will enhance automation processes and ensure data security, performance, and reliability while mentoring team members and managing projects within a collaborative environment.
As a Senior Data Engineer, you will collaborate with clients to identify their data needs and propose solutions. Your responsibilities will include developing data systems, performing statistical analyses, preparing reports, and creating data visualizations. Utilizing strong programming skills, you will apply advanced methodologies to analyze complex datasets and improve operational performance.
As a Sr. Data Engineer I, you will lead the design and implementation of complex data pipelines, ensure data integrity through ETL processes, optimize data infrastructure for performance and cost-effectiveness, and mentor junior engineers. You’ll collaborate closely with data scientists to meet data requirements for analytics and business intelligence initiatives.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and architectures to support data-intensive applications. Responsibilities include developing ETL processes, utilizing big data technologies, managing cloud-based solutions, and collaborating in cross-functional teams. Mentoring junior engineers and optimizing performance are also key aspects of the role.
As a Senior Data Engineer, you will design and maintain data infrastructure, optimize data pipelines, and collaborate with teams to enhance data visualization and reliability. You will ensure accurate data processing, leverage business acumen for data mart development, and apply site reliability engineering practices.
The Senior Data Engineer at Bluesight will design, implement, and maintain data architectures while collaborating with product owners and engineering teams. The role includes ensuring data governance, creating data products with APIs, and serving data needs for data scientists. The candidate must have extensive experience in data orchestration, SQL, programming, and infrastructure as code.
The Senior Data Engineer will develop and maintain the data infrastructure and Business Intelligence systems using Snowflake. Responsibilities include optimizing data pipelines, creating SQL queries, and developing automated reports and dashboards, while collaborating with various stakeholders to ensure data integrity and scalability.
As a Lead Data Engineer, you will construct data pipelines for ingested data, collaborate with data science for ML models, and build applications to monitor data systems, ensuring robust data asset management at Windfall.
The Lead Data Engineer will develop and optimize data pipelines and systems, collaborate with cross-functional teams, ensure data quality, and mentor other engineers. This role involves leveraging tools like Talend and SQL on platforms such as Google Cloud and Snowflake, implementing best practices in data governance, and utilizing Agile methodologies for project delivery.
The Staff Data Engineer will build and maintain data pipelines, ensure data quality, conduct exploratory data analysis, utilize machine learning, and create interactive dashboards. The role involves collaborating with business and engineering teams to deliver actionable insights and requires expertise in handling healthcare data following HIPAA compliance.
The Senior Data Engineer will design and implement data pipelines and architectures, develop scalable data workflows, ensure data quality, mentor junior team members, and collaborate with stakeholders for robust data processing solutions within the healthcare domain.
The Senior Data Engineer will design, develop, and maintain data pipelines, storage solutions, and ensure data quality. Collaborating with cross-functional teams, the engineer will optimize data systems and enforce data governance policies while staying updated on emerging technologies.
The Senior/Staff Software Engineer in the Data Platform is responsible for creating and maintaining data processing pipelines, building data infrastructure, optimizing data delivery, and providing analytics tools. They will interpret complex data sets, work with various stakeholders to resolve data-related issues, and ensure the security of data systems across multiple data centers and AWS regions.
As a Lead Data Engineer, you will build ELT pipelines, develop custom integrations, and maintain data infrastructure. You will also identify process improvements and promote collaboration across teams while ensuring data availability through on-call rotations.
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