Apache Iceberg

table format, data lake, schema evolution, file format, storage, open table format
Iceberg
Open jobs

211

Companies looking for Iceberg

198

Let’s be honest, the data lake was starting to feel less like a pristine reservoir and more like a swamp. Enter Apache Iceberg, born from the realization that simply dumping data somewhere wasn’t a viable long-term strategy. It promised to bring reliability and performance to those sprawling lakes, offering transactional consistency and schema evolution – things we used to get with, you know, actual databases.

In practice, it’s a clever table format layered on top of object storage, managing metadata in a way that allows for atomic operations and time travel. Think Delta Lake meets Parquet, but with a slightly different philosophy and a growing ecosystem. While it’s gained traction with companies wrestling with petabyte-scale data and demanding more than just “eventual consistency”, it’s still maturing. It’s not a magic bullet, but a genuinely useful piece of the puzzle for anyone serious about building a reliable data platform.

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Jobs (this month)

211

Companies with Jobs

198

Jobs in using Apache Iceberg for but please no

data engineer

Product Manager, Data Foundations @ stripe

US | 2025-12-25 | USD 214300 - 321500 / year
Stripe’s Data Foundations PM role entices you as a founding member of the product discipline, tasked with shaping data movement, storage, governance, and AI-enabled data products for Stripe’s... read more »
Data Quality, AI/ML, Dashboard, C, RAG, Analytics, Data Governance, Airflow, Spark, Flink, Iceberg, Trino, dbt, Management, AWS Lambda, Go, DuckDB
data engineer

Senior Data Engineer @ autodesk

US | 2025-12-23 | USD 130600 - 211200 / year
Seeking a Principal Data Engineer to lead data infrastructure design supporting ML, personalization, and search systems. A key differentiator is the opportunity to influence strategic initiatives... read more »
AI/ML, Data Science, RAG, Data Engineering, Agile/Scrum, Analytics, Kafka, Flink, SQL, NoSQL, Vector DB, Python, Java, Big Data, Spark, Parquet, Iceberg, Delta, ETL/ELT, Cloud Computing, AWS, Azure, GCP, DWH, Snowflake, Redshift, Data Modelling, Computer Science, PhD, Pinecone, ELK, Data Streaming, MLOps