Senior Data Engineer

🔥 13 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nexaminds

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Nexaminds is an AI consulting and technology services company that helps businesses leverage artificial intelligence and machine learning to increase efficiency, reduce costs, and unlock new revenue streams. The firm offers AI/ML development, data engineering, application modernization, cloud transformation, agile development, and site reliability engineering (SRE) services. Nexaminds positions itself as a B2B partner, with case studies in personalized retail/subscription platforms and logistics/transportation modernization where it applies AI to improve engineering practices, QA, and operational efficiency.

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes • Contribute to the evolution of data engineering frameworks and infrastructure • Build and maintain reliable data models and metric definitions supporting analytics, data science, and business decision-making • Develop production-quality solutions using Python and SQL • Work with Spark, dbt, Fivetran, Airflow, and cloud-based data storage • Collaborate with data scientists, engineers, analysts, and business stakeholders to understand data needs and deliver effective solutions • Improve data quality, reliability, scalability, and accessibility • Provide technical recommendations shaping the data platform and engineering ecosystem • Use AI-assisted development tools to improve productivity, understand existing systems, and accelerate software development • Create self-service data tools and solutions for easier data access • Troubleshoot data pipeline and infrastructure issues and implement improvements for reliable data delivery • Continuously learn and adopt modern practices in data engineering, cloud technologies, automation, and AI-assisted development

🎯 Requirements

• 7+ years of professional experience in Data Engineering or a closely related field • Strong experience with data modeling and data pipeline/job development • Production-level programming experience with Python and SQL • Hands-on experience with Apache Spark, dbt, Fivetran, and Airflow • Experience with cloud-based data platforms and S3-based data warehouses or data lakes • Experience with ETL/ELT processes and building scalable data solutions • Experience using AI-assisted coding tools such as Claude Code, Codex, or similar technologies • Strong problem-solving and analytical skills • Experience collaborating with cross-functional teams and business stakeholders to gather requirements and translate them into technical solutions • Strong communication skills and a proactive approach to collaboration • Bachelor's degree in Computer Science, Engineering, or a related field • Ability to work independently, take ownership, and contribute ideas that improve data infrastructure and engineering practices

🏖️ Benefits

• Stock options • Remote work options • Flexible working hours • Benefits above the law • Mentorship and opportunities to learn and level up • Collaboration with experienced IT professionals

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