Top Data Engineer Jobs in Tijuana

The Data Engineer Sr at Orion Innovation will develop and manage data solutions, maintaining a focus on ETL processes and cloud platforms, primarily on AWS. The role requires strong analytical skills and the ability to communicate effectively to collaborate with teams and clients. The position blends independent work and teamwork to deliver high-quality results.

As a Data Engineer for Capgemini, the role involves collaborating with the Chief Analytics Office to gather requirements and develop data products and pipelines. The position also focuses on enhancing data delivery and may involve transitioning from outdated technologies to modern standards.

As a Data Engineer, you will analyze and translate business data needs into technical solutions. Responsibilities include designing, building, testing, and implementing various data products with minimal coaching. Experience in SQL and Snowflake is prioritized, along with a strong background in data analytics and cloud computing.

The Data Engineer will analyze data from multiple sources, design Data Marts, write complex SQL statements, and create data models. They will collaborate with business partners and data scientists, using tools like DBT, Snowflake, and cloud platforms. Good communication skills are essential for this role.

As a Senior Software Engineer at Kong, you'll be responsible for enhancing the user experience of their API toolkit through the development of scalable and responsive UI components, using technologies like Vue and Typescript. You'll collaborate with product and design teams, improve frontend architecture, and contribute to building a world-class analytics experience.

As a Senior Data Engineer, you will design and create data pipelines, manage data quality, and implement data solutions for analytics. You will collaborate with teams, mentor junior engineers, and work with tools like SQL, Python, and various data services in cloud environments to enhance data processing capabilities.

As a Sr Data Engineer, you will leverage CVS Health's extensive healthcare data to build and optimize high-volume data pipelines, ensuring data integrity and accessibility. Your work will involve using modern cloud platforms to enhance data-driven decision-making while collaborating with cross-functional teams to meet operational requirements.

Canonical is seeking a Software Engineer for its Data Infrastructure team. The role involves developing automation solutions for data platform operations using Python, collaborating with a distributed team, and ensuring fault-tolerant systems. Successful candidates will have experience in software development and distributed systems, with an emphasis on openness and collaboration.

As a Senior Backend Engineer for the Data Platform team at Postscript, you'll design and build scalable data systems, create integrations for ecommerce platforms, and support internal BI systems while mentoring fellow engineers. This role emphasizes high-quality code and data reliability.

The Staff Data Engineer will collaborate with enterprise customers to design and optimize data pipelines, enhance ingestion architectures, and support proof-of-concept sales engagements. Responsibilities include optimizing data models and working closely with the platform engineering team.

As a Senior Data Engineer/Analyst, you will design and optimize data pipelines, maintain scalable data architectures, implement ETL processes, perform data analysis, build visualizations, and deploy machine learning models while mentoring junior members and collaborating with various stakeholders.

The Principal Data Engineer/Analyst will design and optimize data pipelines, develop scalable data architectures, and leverage machine learning techniques to solve complex issues. Responsibilities include building data workflows, managing data processing on AWS, and mentoring junior team members while collaborating with various stakeholders to deliver effective data solutions.