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Data engineer

Job in Houston, Harris County, Texas, 77001, USA
Listing for: Neotalent Conclusion
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Описание:

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.
Требования:
  • 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
Условия:
  • 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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