Apache Iceberg

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

Senior Engineer - Data Analytics @ geico

US | 2025-12-25 | USD 100000 - 230000 / year
GEICO is seeking a Senior Engineer to develop high-performance data pipelines and models, with a focus on building resilient distributed systems and supporting internal analytics. The role's... read more »
Data Analytics, Analytics Engineering, Data Modelling, Python, SQL, NoSQL, Spark, dbt, Docker, Kubernetes, Azure, Power BI, Superset, Big Data, Kafka, Git, Snowflake, dimensional modeling, Analytics, BI, Iceberg, Airflow, ETL/ELT, CI/CD, DevOps, Azure DevOps, Management, API, Data Quality, Marketing, AWS, GCP, Cloud Computing, Databricks, Computer Science, Data Science
data engineer

Data Engineer -601/602 @ ptrglobal

US | 2025-12-24 | USD 65 - 70 / hour
A data engineer role focused on AWS, Python, and Spark within a bank's consumer division; requires designing data pipelines and models, with a differentiator being expertise in cloud data lake... read more »
AWS, Python, Spark, Data Lake, Agile/Scrum, Data Collection, Analytics, SQL, NoSQL, Data Quality, Data Governance, Data Engineering, PySpark, GenAI, API, Cloud Computing, Data Lakehouse, Databricks, Hadoop, PostgreSQL, Oracle, Cassandra, DynamoDB, MongoDB, Snowflake, Redshift, Airflow, Unix, Avro, Protobuf, Parquet, Iceberg, Data Streaming, Data Modelling, Data Vault, dimensional modeling, CI/CD
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data engineer

Quantitative Developer - Risk & Data Platform @ balyasny-asset-management-l.p.

US | 2025-12-23
Longaeva seeks a Quantitative Developer for its Data Platform team, anchoring risk and research workflows in a New York hedge fund with a global mandate. The role is hands-on and highly visible:... read more »
Management, DWH, Dashboard, Python, SQL, Snowflake, Spark, dbt, Iceberg, AWS, API