Big Data Infrastructure Engineer

ektello; United States; Remote; USD 90,000 - 103,000; Full time

Job summary

Ektello is seeking a Big Data Platform Engineer for a W2 contract, remote in the United States. The role focuses on end-to-end big data infrastructure, data warehousing, and BI pipelines to support enterprise needs.

You will work with Hadoop/Spark/Airflow/Presto/Trino, bringing 2+ years in big data infra and proficiency in Java/Scala/Python. Experience with AI tools is a plus.

Qualifications

• 2+ years of industry experience in big data infrastructure or data warehouse engineering.
• Passionate about working with data at hundreds of petabytes scale.
• Solid experience in Java, Scala or Python.
• Understanding of how to use AI tools.
• Publications at conferences are a plus.
• Experience with Hadoop, Spark, Airflow, Presto or Trino for data processing.

Responsibilities

• Build the infrastructure platforms or data processing pipelines powering critical business needs.
• Develop or utilize cutting-edge big data technologies such as Hadoop, Spark, Airflow, Presto and Trino.

Skills

Big data infrastructure

Data warehousing

Java/Scala/Python

AI tools understanding

Conference publications

Big data technologies

Job description

** W2 contract, min 12 months ** REMOTE in United States ** Target W2 $65-75/hr based on location **

The Batch Processing Platform team at our client is responsible for end to end big data infrastructure, data warehousing & business intelligence solutions that powers the rest of the business. The team owns both the critical data infrastructures from log ingestion, batch & stream processing, big data query & workflow systems, and also the data processing & ETL pipelines for data warehousing and business intelligence.

What You’ll Do

• You’ll have the opportunity to build the infrastructure platforms or the data processing pipelines that powers their critical business needs.
• Building or using the cutting edge big data technologies such as Hadoop/Spark/Airflow/Presto/Trino.

What we’re looking for:

• 2+ years of industry experience in big data infrastructure or data warehouse engineering.
• Passionate about working with data at hundreds of petabytes scale.
• Solid experience in one of the languages in Java/Scala/Python.
• Understanding of how to use AI tools.
• Publications at conferences a plus
• Experience with big data infrastructure (e.g. Hadoop/Spark/Airflow/Presto/Trino), using big data technologies for data processing.