Mid-Level Data Engineer at SunnyData | Mexico

Embark on an exciting journey in the dynamic world of data engineering with SunnyData!At SunnyData, we are dedicated to empowering our clients in their data-driven endeavors. We understand that a robust infrastructure is essential for achieving exceptional results through data: scalable architectures, resilient data pipelines, user-friendly data consumption layers, and precise machine learning and AI applications. As a Data Engineer, you will be instrumental in guiding our customers on this transformative path. Collaborating closely with both internal teams and clients, you will design, develop, and implement data solutions that capture, analyze, transform, and leverage data to support insights in Artificial Intelligence, Machine Learning, and Business Intelligence.Your ImpactContribute to a team focused on addressing the data engineering requirements of new and existing customers.Provide expert guidance to customers to facilitate informed technical decisions that align with their objectives.Manage and oversee multiple customer accounts, tracking and reporting on their progress.Architect, construct, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and propose data cleansing and quality strategies.Evaluate data sources to ascertain their relevance and recommend integration into analytical workflows.Integrate essential data management principles, including governance, security, and quality assurance.Collaborate across teams to facilitate delivery and educate end users on data products and analytical environments.Conduct data and system analyses, addressing and rectifying moderate complexity defects and incidents as necessary.Test data movement, transformation code, and associated data components.Qualifications We SeekEnthusiastic individual with a strong desire for continuous learning. Exceptional time management and prioritization skills are essential.Proficient English communication skills, both verbal and written.Availability for either part-time (6 hours) or full-time (8 hours) positions.Experience with public cloud platforms such as AWS, Azure, or GCP is advantageous.Preferred: Familiarity with Data Engineering technologies (e.g., Spark, Hadoop, Kafka).

At SunnyData, we are dedicated to guiding our clients on their data journey, enabling them to harness the power of data for their business success. We believe that a robust foundation is essential for achieving exceptional data-driven outcomes, which include highly scalable architectures, resilient data engineering pipelines, user-friendly data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. As a Senior Data Engineer, you will play an essential role in this transformative journey. You will collaborate directly with internal teams and clients to design, develop, and implement data solutions that capture, analyze, transform, and leverage data to facilitate insights in AI, ML, and Business Intelligence.The Impact You Will HaveContribute to a team focused on addressing the data engineering needs of both new and existing clients.Advise clients on optimal technical decisions to meet their objectives.Manage multiple client accounts, tracking and reporting on their progress effectively.Design, build, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data quality enhancements.Evaluate data sources to assess their value and recommend inclusion in analytical processes.Incorporate essential data management practices, including data governance, security, and quality.Collaborate within and across teams to support successful delivery and educate users on data products and analytics environments.Conduct data and system analysis to identify defects and resolve incidents of moderate complexity.Test data movement, transformation code, and data components rigorously.What We Look ForA minimum of 5 years of relevant experience in data engineering and data product development.Proficiency in one or more of the following technologies:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)A solid grasp of the complete data analytics workflow.A proven track record demonstrating domain expertise and the ability to comprehend technical requirements effectively.

Join SunnyData, a premier partner of Databricks, dedicated to delivering innovative solutions that empower our clients through scalable architecture, efficient data engineering pipelines, and cutting-edge machine learning and AI applications. As a Senior Fullstack Developer, you will be an integral part of a dynamic, cross-functional team, utilizing your expertise and creativity to develop sophisticated, scalable systems. Collaborate in a fast-paced environment, overcoming challenges while adhering to best engineering practices.Your Contributions Will Include:Developing outstanding products by leveraging teamwork, creativity, and a passion for solving complex problems.Promoting sustainable engineering methodologies, such as Test-Driven Development (TDD) and Continuous Integration/Continuous Deployment (CI/CD).Utilizing your solid technical foundations across a modern technology stack including Python, JavaScript/TypeScript, RESTful APIs, Angular, React, Svelte, Express, Docker, and Cloud platforms (AWS or Azure).Collaborating closely with UI/UX designers to transform innovative concepts into user-friendly and technically sound data solutions.

At SunnyData, we are dedicated to empowering businesses by constructing highly scalable architectures and robust data engineering pipelines. Our focus is on simplifying data consumption and developing advanced ML and AI applications that yield exceptional business results. As a Senior Machine Learning Engineer, you will spearhead intricate data projects, devise predictive models, and implement scalable machine learning solutions. Collaborating with cross-functional teams, including engineering, product, and analytics, you will extract actionable insights that influence critical business strategies.Your ImpactLead the design, development, and deployment of innovative machine learning models.Utilize large, complex datasets to derive valuable insights and construct predictive analytics pipelines.Partner with data engineers to design and enhance cloud-based data solutions.Convert business challenges into data-driven solutions using statistical modeling and machine learning methodologies.Streamline data workflows and model deployment processes leveraging cloud services and CI/CD tools.Guide junior data scientists and contribute to the establishment of best practices in model development.Effectively communicate findings and strategic insights to stakeholders and executive leadership.Desired QualificationsOver 5 years of experience in data science or machine learning roles.Expertise in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.Solid foundation in statistics, A/B testing, and machine learning algorithms.Proven experience in building and deploying models in production environments.Knowledge of MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).Exceptional communication and leadership abilities.Preferred QualificationsExperience with big data tools (Spark, EMR).Familiarity with containerization (Docker, ECS, EKS) and serverless architecture.EducationBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.

About SunnyData: At SunnyData, a prominent partner in Databricks technology, we are committed to enabling our clients with scalable architectures, efficient data engineering pipelines, and innovative applications in machine learning (ML) and artificial intelligence (AI). As a Solutions Architect, you will play a crucial role in ensuring customer success through both technical execution and pre-sales assistance.Your Impact:Customer Engagement: Act as a trusted advisor, helping clients navigate their data engineering and architecture needs, particularly with Databricks solutions. Your efforts will be evenly split between billable projects and pre-sales activities.Technical Leadership: Design, build, and implement data solutions that effectively capture, transform, and utilize data to bolster AI, ML, and business intelligence initiatives.Pre-Sales Support: Partner with sales teams to showcase technical solutions to potential clients, illustrating the value of SunnyData's offerings.Project Management: Oversee multiple customer accounts, ensuring timely delivery of solutions and effectively tracking progress to communicate outcomes.Solution Architecture: Develop data solutions while adhering to best practices in data governance, security, and quality assurance.Data Evaluation: Assess data sources for their potential value and recommend strategies for data inclusion to enhance analytical processes.Cross-Functional Leadership: Lead internal teams, providing guidance and mentorship to project teams, while educating end users on data products and analytic environments.Problem Solving: Conduct system analyses, identify and rectify data and system defects, and implement necessary corrections.Quality Assurance: Validate data movements, transformation code, and data components to ensure accuracy and reliability.

We are seeking a talented and driven Launch Engineer to join our dynamic team. In this role, you will be responsible for overseeing the launch process of our innovative engineering projects, ensuring that all phases align with our high standards of quality and efficiency. You will collaborate with cross-functional teams, engage in problem-solving, and contribute to the successful delivery of projects.

Kiewit Mexico stands as a prominent engineering, procurement, and construction management firm, part of one of the largest and most reputable engineering and construction organizations in North America. We specialize in delivering exceptional construction management and engineering services across diverse sectors including energy, oil, gas, chemicals, terminals, marine works, and mining.Key ResponsibilitiesEngage in conceptual design, basic and detailed engineering, ensuring compliance with industry standards (e.g., NOMS, CFE, PEMEX, ASME, API, ANSI) while managing large and complex assignments.Review electrical specifications and data sheets for equipment, including UPS, DC chargers, LV/MV MCCs, switchgears, emergency generators, and transformers. Develop MV one-lines, schematics, and three-line diagrams independently.Propose power distribution arrangements and collaborate with designers and drafters to produce electrical design drawings. Oversee procurement processes for electrical equipment, including bid evaluations.Formulate technical specifications and establish interface points with construction partners. Coordinate design efforts with project personnel and evaluate bids for equipment and construction proposals.Apply engineering techniques and criteria in the conceptual design of large power projects.Conduct electrical engineering calculations and specifications, including layout, schematic diagrams, one-line diagrams, and cabling system routing.Perform electrical systems analysis utilizing ETAP or SKM software.

ALTEN México brings together more than 600 engineers and specialists to deliver technology solutions and product development for clients in automotive, energy, aerospace, banking, insurance, telecommunications, multimedia, and rail. The company supports a wide range of projects, encouraging collaboration and professional growth. Role overview This Mid-Level Technical Test Manager position is based in Mexico City. The role centers on coordinating technical testing for complex projects, ensuring that testing activities are thorough and aligned with project goals. Main responsibilities Oversee technical issues from identification through resolution across assigned projects. Collaborate with team members to define project scope, plan requirements, and estimate testing timelines. Identify risks and communicate status and results in meetings and written reports. Define and monitor testing activities to ensure comprehensive coverage. Analyze testing data in Jira and generate key performance indicators (KPIs). Lead Scrum events to keep the team coordinated and on schedule. Identify and manage hardware dependencies for complete end-to-end testing.

Kiewit Mexico, a subsidiary of one of North America’s most esteemed engineering and construction firms, specializes in delivering top-notch engineering, procurement, and construction management services. We cater to a diverse range of sectors including energy, oil, gas, chemicals, marine works, terminals, and mining.Key Responsibilities:Promote and articulate the vision and culture of the engineering department.Oversee deliverables and initiatives, managing scope, schedule, and budget while providing regular updates to leadership.Independently handle large-scale or multiple smaller engineering projects.Guide team members on the application of industry standards, ensuring compliance with design regulations, specifications, and local codes.Integrate requirements from Engineering, Procurement, and Construction (EPC) contracts, customer Requests for Proposals (RFPs), and other contractual obligations to achieve project goals.Mentor entry-level and mid-level engineers, reviewing their progress and providing guidance for professional growth.Lead the technical development of engineering calculations, plans, drawings, and specifications, including civil engineering quantity estimates and material take-offs.

As a Senior Business Analyst at Sunnydata, you will play a pivotal role in driving strategic initiatives and providing critical insights to propel our business forward. Your analytical skills will be put to the test as you work with cross-functional teams to identify opportunities for improvement and develop data-driven solutions that enhance operational efficiency.

Kiewit Mexico is a leading engineering, procurement, and construction management firm, proudly operating as a subsidiary of one of North America's most esteemed engineering and construction organizations. We specialize in delivering top-tier construction management and engineering services across diverse sectors, including energy, oil and gas, chemicals, marine works, terminals, and mining.Key ResponsibilitiesCreate and draft intermediate electrical designs and drawings.Accurately size cables and raceways for optimal performance.Layout electrical equipment within dedicated electrical buildings.Utilize design skills to develop 3D models from drawings and sketches.Conduct checks and navigate through 3D models to identify interferences and ensure constructability.Routing of electrical cables in a 3D environment to establish comprehensive cable schedules.Perform calculations to assess allowable fill in conduits and cable tray systems in accordance with NEC standards and size pull boxes as required.

Join our dynamic team at inetum2 as a BI/Data Engineer, specializing in Level 2 Support. This is an exciting opportunity for individuals looking to leverage their data engineering skills in a supportive environment. You will be responsible for troubleshooting and resolving data-related issues, ensuring optimal performance of BI tools, and collaborating closely with cross-functional teams to deliver exceptional data solutions.

ALTEN México is seeking a skilled Mid-Level Data & Analytics Engineer with a focus on Machine Learning. The ideal candidate will possess expertise in standardizing models, preparing execution environments, versioning, and deploying solutions on Google Cloud Platform (GCP) while adhering to best practices in MLOps. Responsibilities include documenting, optimizing, and ensuring the portability and scalability of models within the cloud data ecosystem.Main ResponsibilitiesCollaborate on standardizing code structure, notebooks, and configuration management.Manage versioning of dependencies, models, and artifacts.Assist in preparing execution environments (Docker, requirements, configurations).Adapt models for GCP services (Vertex AI, Cloud Run).Create clear documentation on model execution, pipelines, and deployment procedures.Propose technical improvements based on prior experience.Design and implement machine learning pipelines tailored to the GCP ecosystem.Ensure scalability for varying data volumes or request loads.

Role overview Lingarogroup is hiring a Data Engineer with Azure expertise for its Mexico-based team. The position focuses on building and maintaining data pipelines that gather information from sources such as databases, APIs, and streaming platforms. The primary objective is to ensure smooth, accurate data flow and integration, preparing data for downstream use. Key responsibilities Design and build data pipelines to efficiently ingest data from multiple sources. Integrate and transform data to fit target models and formats. Create and optimize storage solutions, including data lakes and data warehouses. Use partitioning, compression, and indexing to enhance storage and retrieval performance. Identify performance bottlenecks and tune queries for faster data access. Work closely with data scientists, analysts, and business stakeholders to understand their requirements. Deliver structured and optimized datasets for analysis and modeling. Explain complex technical concepts in clear terms to non-technical team members. Mentor junior data engineers, sharing best practices and technical insights. Work style Work independently and take responsibility for solutions from initial design through delivery. Contribute actively within Agile and Scrum teams.

Join Inetum as a Mid-Level Java Developer and be part of our innovative team in Mexico City. You will work on exciting projects that impact our clients' success. We are looking for a talented individual who is passionate about coding and eager to learn.

Join our dynamic team as a Java Developer where you will have the opportunity to work on innovative projects that shape the future of technology. As a mid-level developer, you will be responsible for designing, developing, and maintaining robust Java applications, collaborating closely with cross-functional teams, and ensuring the highest standards of code quality.

Join Dropbox as a Data Engineer and play a pivotal role in shaping our data infrastructure. In this position, you will work remotely from Mexico, collaborating with teams across the globe to ensure our data systems are robust, scalable, and efficient.

Join inetum2 as a Data Engineer in Mexico City, where you will have the opportunity to work on cutting-edge data solutions. In this role, you will be responsible for designing, developing, and maintaining data pipelines and architecture that support our analytics and business intelligence initiatives.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic team at NielsenIQ. As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines that drive our analytics and reporting capabilities. You will work closely with data scientists, analysts, and other stakeholders to ensure high-quality data is readily available to support business decisions.Your expertise in data architecture and engineering will help us enhance our data processing capabilities and ensure scalability and performance of our data solutions.

Join our dynamic team as a Mid-Level Java Developer at Inetum, where you will contribute to innovative software solutions that propel our clients into the future. You will be responsible for developing, testing, and maintaining high-quality applications using Java technologies. Collaborate with cross-functional teams to ensure seamless integration and functionality of software systems.