Python Job | Вакансии | Стажировки

Data Engineer
#удаленка #foreign
Company: Nansen
Salary: $90k - $115k estimated
🔹What You'll Do:
-Collaborate closely with crypto researchers, other engineers, and product managers to shape how data is modeled, surfaced, and productized.
-Tackle large-scale data challenges, processing terabytes of streaming and batch data daily.
-Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse and dbt.
-Ensure high standards for data quality, reliability, and observability across all systems.
-Bring fresh thinking to the table, staying current with best practices and evolving your toolkit over time.
-Use AI tools and Agents such as Cursor, MCPs and LLMs to accelerate development, automate repetitive work, and boost quality.

🔹What We're Looking For:
-A proven track record of building and scaling high-performance data systems in production.
-Expertise in SQL and Python, with hands-on experience using dbt, ClickHouse, and BigQuery.
-Strong grasp of streaming data architectures and experience handling large-scale data volumes.
-Comfortable working full-stack with data, from ingestion and transformation to storage, modeling, and serving.
-Experience using AI-powered tools in day-to-day development and a natural curiosity to push boundaries with them.
-Excellent written and verbal communication skills. You’re confident working in a remote-first, async team.
-A pragmatic, execution-oriented mindset. You value fast feedback loops, clean architecture, and scalable design.
-Experience with, or strong interest in, blockchain data structures, crypto, and Web3 technologies.
Contact: https://job-boards.greenhouse.io/nansen/jobs/5614418004

🔥 Подписаться на наши каналы / @best_itjob / @it_rab

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www.tgoop.com/job_python/6632

2.71K viewsAug 20 at 05:45

Data Engineer
#удаленка #foreign
Company: Nansen
Salary: $90k - $115k estimated
🔹What You'll Do:
-Collaborate closely with crypto researchers, other engineers, and product managers to shape how data is modeled, surfaced, and productized.
-Tackle large-scale data challenges, processing terabytes of streaming and batch data daily.
-Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse and dbt.
-Ensure high standards for data quality, reliability, and observability across all systems.
-Bring fresh thinking to the table, staying current with best practices and evolving your toolkit over time.
-Use AI tools and Agents such as Cursor, MCPs and LLMs to accelerate development, automate repetitive work, and boost quality.

🔹What We're Looking For:
-A proven track record of building and scaling high-performance data systems in production.
-Expertise in SQL and Python, with hands-on experience using dbt, ClickHouse, and BigQuery.
-Strong grasp of streaming data architectures and experience handling large-scale data volumes.
-Comfortable working full-stack with data, from ingestion and transformation to storage, modeling, and serving.
-Experience using AI-powered tools in day-to-day development and a natural curiosity to push boundaries with them.
-Excellent written and verbal communication skills. You’re confident working in a remote-first, async team.
-A pragmatic, execution-oriented mindset. You value fast feedback loops, clean architecture, and scalable design.
-Experience with, or strong interest in, blockchain data structures, crypto, and Web3 technologies.
Contact: https://job-boards.greenhouse.io/nansen/jobs/5614418004

🔥 Подписаться на наши каналы / @best_itjob / @it_rab

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