Tech jobs
Job listings
Senior Data Engineer - Product
Build and maintain scalable data pipelines and Lakehouse assets on AWS, Snowflake, and Databricks to power real-time and batch analytics for Domain’s property platforms.
Data Engineer
Design and build scalable data pipelines and Lakehouse/Data Warehouse solutions using Microsoft Fabric, Azure Synapse, and Databricks to enable analytics and AI workloads.
Senior Data Engineer - AI Platform & Architecture
Design and evolve a Databricks Lakehouse platform for an AI-first company, defining Medallion layers, Unity Catalogue governance, and compute optimizations to power large-scale AI workloads.
Senior Data Engineer, AI Platform & Lakehouse Architect
Design and evolve a Databricks Lakehouse platform, owning architecture and modern data foundations with Databricks, Delta Lake, Unity Catalogue, Python, SQL, and PySpark.
Cloud Solution Architect
Design and advise on Microsoft-based Data & AI solutions, guiding customers through analytics, AI, and data-platform modernization using Azure, Fabric, and Power BI.
Data Architect
Designs and builds enterprise-scale cloud data platforms using Databricks, Snowflake, AWS and GCP to power advanced analytics and AI solutions in a regulated financial-services environment.
Data Architect
Design enterprise-scale cloud data platforms for UK insurance firms using AWS, Databricks, and MongoDB, while ensuring regulatory compliance and modernizing legacy systems.
Head of Data Engineering - Microsoft Fabric
Lead a team to build Microsoft Fabric-based data pipelines and lakehouse solutions, set engineering standards, and integrate enterprise platforms like Salesforce and Workday.
W2 Role : Data Platform Engineer
There are 2 locations: Austin, TX or Sunnyvale, CA (Hybrid) Job Summary We are seeking an experienced Data Platform Engineer to architect, build, and operate our cloud-based data lakehouse platform. The role is…
Data Engineer
Builds and maintains data pipelines on GCP, develops PySpark transformations, and designs lakehouse layers in BigQuery for a large Polish bank’s data-driven transformation.
Databricks Architect (Insurance Domain) - Remote
Designs and delivers a Databricks-based enterprise data platform on Azure, using Spark, Delta Lake, and Lakehouse principles to support analytics, ML, and AI for an insurance client.
Technical Product Owner/Business Analyst
Owns data-centric product requirements for a healthcare tech platform, turning business needs into SQL-backed specs, acceptance criteria, and delivery plans while collaborating with engineering, QA, and stakeholders.
Staff Data Engineer, Data Platform
Lead the architecture and scaling of a healthcare-focused enterprise data platform using Databricks, AWS, Terraform, and Python, ensuring governance, security, and high-quality data products.
Data Engineer - Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA, Hartford, CT.
Designs and builds cloud-native data platforms using Databricks, Delta Lake, Snowflake, and Apache Iceberg to support enterprise analytics and AI/ML initiatives.
AI Data Engineer
Build and maintain scalable data pipelines and AI agents using Azure Databricks, Python, and SQL to power analytics and automated workflows in a modern engineering environment.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data platforms using Python, SQL, Airflow, and Redshift, focusing on dimensional modeling and cloud migrations for a fintech environment.
Data engineer
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Data Analyst Officer
Analyze media and business data to uncover trends and anomalies, build reports, and maintain data quality and lineage for stakeholders across Kompas Gramedia’s ecosystem.
Data Engineer (Azure/Databricks)
Senior Data Engineer builds and maintains scalable Azure/Databricks pipelines, Data Lakes, and Lakehouses, processing structured and unstructured data for AI and analytics use cases.
Data Architect/Modeler
Designs enterprise data models and lakehouse architectures in Azure, focusing on scalable, performant structures like Delta Lake and Data Vault to support analytics and operational reporting.