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The grandparent of modern programming languages and still the backbone of performance-critical systems. If your data engineering involves crafting high-performance ETL pipelines, database engines, or wrangling embedded systems, C is the ultimate low-level power tool. It’s lean, fast, and gives you granular control over memory—perfect for squeezing every ounce of performance out of your hardware.
But let’s not romanticize it too much. C is also unforgiving: no hand-holding, no garbage collection, and a single misplaced pointer can cause catastrophic bugs or security nightmares. It’s not the go-to for most data engineering tasks these days (Python, Scala, or Go will get you there faster), but if you’re optimizing critical systems or working close to the metal, C remains unmatched. Use it wisely—like a scalpel, not a chainsaw.
Used together with C
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Jobs in using C for but please no
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data engineer
Software Engineer - Fullstack @ databricks
NL | 2025-12-28
This role at Databricks is a full-stack software engineering position that involves building and maintaining the company’s data and AI infrastructure, with a focus on SQL Analytics, workflows, and...
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Databricks, AI/ML, SaaS, Management, SQL, Analytics, BI, Data Lake, Terraform, API, PhD, Computer Science, JavaScript, React, Java, Python, Scala, C, C++, Go, Cloud Computing, AWS, Azure, GCP, Docker, Data Lakehouse, Spark, Delta | ||
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data engineer
Lead Software Engineer, Back End - L5 (Bangkok based - Relocation provided) @ agoda
NL | 2025-12-27
This role is a tempting offer for a technically skilled data engineer, but it lacks clarity on the actual responsibilities and challenges. The job description emphasizes cutting-edge technologies...
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API, CI/CD, Scala, Kafka, Spark, Agile/Scrum, Go, C, Java, Computer Science |
