A consulting firm seeks a Data Engineer to develop modern data platforms using Apache Iceberg on AWS. This hybrid role focuses on building scalable data pipelines and emphasizes strong skills in data governance and distributed systems. Ideal candidates should have 4 to 10+ years of data engineering experience and proficiency with AWS services and Apache Iceberg. Benefits include medical, dental, and 401k with matching, starting at $54/hr. Candidates must be willing to work on a W2 basis.
Qualifications
4 to 10+ years of experience in data engineering or similar roles.
Hands-on experience with Apache Iceberg including table design and evolution.
Proficiency with distributed engines such as Spark, Flink, or PySpark.
Responsibilities
Design and build Apache Iceberg–based data lakes.
Develop scalable batch and streaming pipelines using AWS services.
Implement CDC pipelines using Kafka Connect.
Skills
Apache Iceberg
AWS data stack (S3, EMR, Lambda, Glue)
Python
Spark
SQL
Kafka
Job description
A consulting firm seeks a Data Engineer to develop modern data platforms using Apache Iceberg on AWS. This hybrid role focuses on building scalable data pipelines and emphasizes strong skills in data governance and distributed systems. Ideal candidates should have 4 to 10+ years of data engineering experience and proficiency with AWS services and Apache Iceberg. Benefits include medical, dental, and 401k with matching, starting at $54/hr. Candidates must be willing to work on a W2 basis.