Big Data Engineer Jobs

Explore the latest big data engineer jobs from companies hiring across the globe. This page features curated opportunities for data engineers specializing in building and managing large-scale data processing systems.

Big Data Engineers design and operate distributed data systems that handle petabytes of data. They work with Apache Spark, Hadoop, Kafka, Flink, and Hive to build batch and real-time data processing pipelines. Employers seek candidates with strong skills in Java, Scala, or Python, along with expertise in data lake architectures, columnar storage formats (Parquet, ORC), and cloud-based big data services (AWS EMR, Google Dataproc, Azure HDInsight).

These roles are critical at organizations generating massive data volumes — including ad-tech, social media, IoT, telecommunications, financial services, and e-commerce companies. Experience with data governance, performance tuning for distributed queries, and cost optimization for cloud compute is highly valued.

Our curated listings include remote, hybrid, and onsite positions across global markets. Many roles offer competitive salaries, opportunities to work with cutting-edge distributed systems, and career advancement into data platform leadership.

Each job posting provides detailed technical requirements, big data platform expertise needed, and application instructions to help you find the right big data engineering role.