Tech jobs
Job listings
Lead Data Engineer (Spark) @ Addepto
Lead a team building scalable data pipelines and platforms for enterprises using Spark, Airflow, and cloud tech to process terabytes of streaming and batch data for analytics and ML.
Big Data Engineer IV @ OpenX
Design and build large-scale data pipelines and systems to process billions of ad requests daily, using Java/Scala/Python, Spark, and BigQuery on GCP/AWS.
Senior Data Engineer/ML
Senior Data Engineer/ML Engineer builds and deploys ML models and pipelines in a banking context using Python, Spark, and AWS services like SageMaker and Glue.
Data Engineer — Big Data & Cloud Analytics
Designs and implements big-data pipelines and analytics solutions using Hadoop and Python for a data-focused tech company.
Senior Big Data Engineer: Spark, Scala & Pipelines
Builds and maintains scalable big-data pipelines using Spark, Hadoop, and Elasticsearch to process financial crime and fraud data for a global bank.
Senior Big Data Engineer
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
AI Data Engineer (Data Engineering, Cloud Platform, Python)
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Data Engineer | TMB
Build and maintain data pipelines, ETL processes, and data lakes using GCP, Spark, Kafka, and SQL to ensure reliable data flow for analytics and reporting.
Lead Data Engineer
Lead a team building and optimizing scalable ETL/ELT pipelines in Python using Hadoop, Spark and Splunk to deliver reliable data for HR analytics and reporting.
Big Data Engineer
Builds and optimizes distributed data pipelines using Apache Spark (Python/Scala) to process large datasets for enterprise clients.
Data Engineer
Designs and builds scalable data pipelines and warehouses using cloud tools (AWS/Azure), SQL/NoSQL, and big-data frameworks (Spark, Kafka) to enable analytics and ML for clients.
Data Engineer
Designs and builds cloud-based data pipelines and ETL workflows on Azure or GCP, using Python/Java/Scala, Spark, Kafka, and Airflow to modernize and migrate enterprise data systems.
Lead Data Engineer: Scalable Pipelines & Platforms
Designs and builds scalable ETL/ELT pipelines and data platforms using Hadoop, Spark, and Splunk, integrating HR data sources and collaborating with BI and analytics teams.
Data Engineer
Build and maintain data pipelines, storage, and processing systems using AWS Glue, Lambda, and Python to support analytics and business processes for global clients.
Junior Data Engineer: Build Secure Data Pipelines
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Senior Data Engineer - On-Prem & Hybrid Data Pipelines
Designs and builds secure, scalable on-prem and hybrid data pipelines using SQL, Spark, and Hadoop for enterprise-scale solutions.
Senior Data Engineer: Build Scalable Pipelines & Data Lakes
Senior Data Engineer designs scalable data pipelines and lakes, builds robust data models, and optimizes processes using Hadoop, Spark, Python, Java, or Scala.
Data Engineer
Designs and maintains Big Data pipelines, data warehouses, and analytics platforms using Spark, Hadoop, and cloud tools to enable data-driven business decisions.