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Senior Data Engineer designs and maintains enterprise-scale data pipelines, ETL/ELT workflows, and data lakes using Databricks, Spark, SQL, Kafka, and AWS services to support analytics and AI/ML initiatives.
Build and maintain Azure-based data pipelines, warehouses, and lakes using SQL, PySpark, and Azure services to support financial reporting and analytics.
Designs, implements, and maintains Azure cloud infrastructure and data platforms, focusing on Azure Databricks, SQL processing, and secure networking for a ceramics manufacturer.
Own and manage data & platform capabilities, driving a 'Data as a Product' model to make data discoverable, trusted, and AI-ready while aligning with business outcomes and regulatory standards.
Designs and implements Databricks-based lakehouse architectures for healthcare data, using PySpark, Delta Lake, and cloud platforms like Azure/AWS/GCP.
Designs and builds scalable Azure-based data pipelines using PySpark and Spark SQL in Databricks to ingest and transform enterprise data for analytics and reporting.
Design and govern a secure Azure Databricks Lakehouse that replicates and transforms utility customer data for billing, analytics, and AI, ensuring reliability and compliance for 4.8M customers.
Builds scalable Lakehouse solutions on Databricks using Delta Lake, Unity Catalog, and cloud-native services, writing Python/SQL pipelines and automating deployments with DABs and CI/CD.
Build and maintain high-throughput C++ and Python systems to record, transfer, validate, and catalog petabyte-scale autonomous-truck sensor data for replay and ML.
Build and maintain the Kubernetes-based platform that runs petabyte-scale data processing, simulation, and ML training for an AI company.
Design and build AI-powered apps and scalable data platforms using Python, AWS, Databricks, and Spark, plus LLM-driven services and data pipelines.
Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using…
Owns and optimizes PostgreSQL, MongoDB, and Databricks at scale to keep Skan AI’s agentic AI platform fast, reliable, and cost-efficient while preventing outages.
About the role We are looking for a Senior Data Engineer with strong Databricks experience to build and optimize modern data platforms. You will develop scalable ETL/ELT pipelines, process large datasets and contribute…
About the role We are looking for an experienced Databricks Architect to design and lead modern data platforms built on the Databricks ecosystem. In this role you will define architecture standards, establish…
Build and scale ML infrastructure for Tinder’s recommendation and moderation systems, using Spark, Kafka, and LLM-serving frameworks while ensuring reliability and cost efficiency.
Build and maintain robust data models, pipelines, and dashboards in Looker and AWS Athena to power global finance products for a fintech startup.
Designs and builds scalable data pipelines and AI/ML systems using SQL, Python, Spark, Delta Lake, and big-data tooling.
Principal engineer defining Mastercard’s global data architecture, modernizing legacy systems to cloud-native platforms, and enabling secure, real-time analytics across hybrid cloud.
Forward Deployed Engineer partners with enterprise data teams to design, deploy, and prove value for Granica’s AI infrastructure, troubleshooting distributed systems and translating feedback into product improvements.
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