Data engineer
Job in
Houston, Harris County, Texas, 77001, USA
Listed on 2026-11-01
Listing for:
Neotalent Conclusion
Full Time
position Listed on 2026-11-01
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
We are looking for a Senior Data Engineer to join our teams and contribute to the definition, evolution, and governance of complex data architectures within a large-scale and strategic environment. In this role, you will be responsible for designing end-to-end data solutions, driving architectural decisions, evaluating technology alternatives, and ensuring that data platforms are scalable, resilient, secure, and aligned with business objectives.
Задачи:- Analyze, challenge, and refine business, functional, and non-functional requirements to support architectural decisions;
- Design end-to-end data architectures covering data ingestion, integration, processing, storage, governance, and consumption;
- Define data models and integration patterns, including ETL/ELT, streaming, Change Data Capture (CDC), APIs, and event-driven architectures;
- Evaluate technology options, identify architectural trade-offs, document decisions, and establish reference architectures and design standards;
- Ensure data solutions meet requirements related to scalability, performance, security, resilience, data quality, governance, observability, and regulatory compliance;
- Provide technical guidance to Data Engineers, Architects, and implementation teams, while collaborating with business and technology stakeholders;
- Define architectures for Data Lakes, Lake houses, Data Warehouses, Data Marts, and cloud-based analytical platforms;
- Produce architecture documentation, technical assessments, diagrams, and recommendations, presenting and defending solutions to technical and business audiences.
- Previous experience with data modeling, including relational, dimensional, No
SQL, document, graph, geospatial, and time-series models; - Experience with Data Warehouse, Data Lake, Lakehouse, Big Data, and modern analytics architectures;
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP);
- Strong expertise in data integration architectures, including ETL/ELT processes, streaming, CDC, APIs, and event-driven solutions;
- Fluent in English. Будет плюсом:
Experience in defining reference architectures, architectural principles, standards, and enterprise architecture frameworks will be a plus
- Work on challenging projects for big clients;
- Learn more about emerging technologies;
- Possibility of working remotely;
- Design your career plan;
- Access to continuous training and certifications;
- Evolve through our internal mobility program;
- … and much more!
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