Open jobs
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The ambitious offspring of C, designed for those who need both raw performance and a sprinkle of object-oriented design. If your data engineering involves building high-performance systems—custom database engines, real-time processing frameworks, or any situation where microseconds matter—C++ delivers the goods. It offers more abstractions than C (classes, templates, smart pointers), but at the cost of complexity.
However, with great power comes great responsibility: C++ is notoriously verbose, error-prone, and a debugging headache if you’re not careful. Its standard library and STL are powerful, but the temptation to reinvent the wheel—or over-engineer everything—is real. And while modern C++ (C++11 and beyond) has made the language safer and more expressive, it’s still not the first choice for most data engineering projects unless absolute performance is non-negotiable. A workhorse for hardcore systems, but overkill for simpler data pipelines.
Used together with C++
Jobs (this month)
882
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811
Jobs in using C++ for but please no
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data engineer
Data Engineer, Product Analytics @ meta
US | 2025-12-28
| USD
173000 - 242000
/ year
This role is a chance to work on large-scale data projects at Meta, where you'll design and build scalable data systems to drive product success. The job emphasizes technical leadership, data...
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Data Science, Management, Data Engineering, Cyber Security, Data Management, Analytics, Data Quality, ETL/ELT, Computer Science, SQL, Data Modelling, Python, C++, C, Scala, AI/ML | ||
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data engineer
Data Engineer, Product Analytics @ meta
US | 2025-12-27
| USD
173000 - 242000
/ year
This role is a high-stakes, high-impact opportunity for a data engineer at Meta, where the responsibilities span architectural design, product leadership, and cross-functional collaboration. The...
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Data Science, Management, Data Engineering, Cyber Security, Data Management, Analytics, Data Quality, ETL/ELT, SQL, Data Modelling, Python, C++, C, Scala, AI/ML | ||
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promoted
BigQuery Cost Optimization Guide by Masthead DataThe BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of... |
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data engineer
Quantitative Trader @ selby-jennings
US | 2025-12-23
Hard-faced quant trader role in HFT futures from a market-making shop promises end-to-end ownership of strategy design, testing, and deployment in ultra-low-latency environments. The brief...
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C++, API, Python |
