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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.
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Jobs in using C for but please no
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machine learning engineer
2026 AI/ML Intern - Machine Learning Engineer @ adobe
US | 2025-12-22
| USD
45 - 55
/ hour
Adobe’s ML internship offers a stake in real-world, large-scale modeling at a brand with broad reach, but the description reads like a research lab masquerading as a product role. It’s paid,...
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AI/ML, Analytics, Management, Go, PhD, Computer Science, Data Analytics, Python, Java, C, R, MATLAB | ||
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machine learning engineer
Staff Machine Learning Engineer, Fraud & Abuse @ joinblock
US | 2025-12-21
| USD
276800 - 415200
/ year
Block's Staff ML Engineer role in Fraud and Abuse ML Engineering promises leadership in real-time and batch ML at scale to protect millions of customers. The stack is familiar: Python, Java,...
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AI/ML, API, Data Quality, Management, Python, Java, Databricks, DynamoDB, Kafka, Spark, C | ||
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promoted
The Fundamentals of Analytics EngineeringThe Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies. |
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machine learning engineer
Staff Machine Learning Engineer, Risk Signals & Controls @ joinblock
US | 2025-12-21
| USD
276800 - 415200
/ year
The Risk Signals and Controls team at Block builds real-time fraud signals and ML-ready pipelines, ingesting third-party and Block data, maintaining a feature store, and productionizing scalable...
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AI/ML, Data Quality, Python, TensorFlow, PyTorch, Java, Databricks, DynamoDB, Kafka, Airflow, C |
