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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…
Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion,…
Designs, implements, and supports Azure-based data lakes and lakehouse architectures, focusing on integrated data reserves and cloud-native database solutions.
Shannon & Wilson is a leading geotechnical engineering firm dedicated to delivering innovative solutions in infrastructure, transportation, and environmental projects. As part of our digital transformation journey,…
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…
As a Senior DevOps Engineer , you will take full ownership of designing, automating, and scaling cloud infrastructure and delivery processes on Microsoft Azure . Beyond hands-on engineering, you'll drive…
You’ll work with customers to modernize their data estates and implement AI solutions using Microsoft Fabric and AI-ready data foundations, guiding them from strategy to technical validation.
Build and maintain Power BI semantic models and Microsoft Fabric pipelines for a proptech SaaS company, reconciling Salesforce data to drive GTM decisions and revenue metrics.
Build and operate backend services and data pipelines that ingest high-volume security telemetry, turning it into detection and remediation for customers using TypeScript/Node.js, Python, Go, and Kubernetes.
Builds and maintains Power BI dashboards and semantic models on Microsoft Fabric to analyze law-firm financials, partner profitability, and operational metrics for leadership decisions.
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.
Leads data engineering teams to build and maintain ETL pipelines, data warehouses, and ML pipelines using SQL, Spark, and cloud platforms like Snowflake or Fabric, ensuring reliable data for analytics and AI initiatives.
Builds and maintains Azure-based data pipelines and Lakehouse architectures to ingest, transform, and model financial and operational data for clients, using Databricks, Data Factory, SQL, Python, and AI tools.
Designs and builds Azure Databricks-based data pipelines and governance for a multi-clinic healthcare provider, enabling HIPAA-compliant analytics and AI insights across clinical, financial, and operational domains.
An Introduction to Primer Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue -…
About AI71: AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready…
Builds and optimizes Salesforce Data Cloud to create unified customer profiles and AI-driven personalization for PVH’s fashion brands using Salesforce tools and cloud integrations.
Build and operate a high-throughput crypto market-data platform: ingest exchange APIs, run streaming/batch pipelines, and maintain storage backends (Iceberg, ClickHouse, MySQL/PostgreSQL) to feed trading desks, quants, and analytics.
Build and optimize a massive data platform for a large bank, handling batch and real-time pipelines with Hadoop, Spark, Kafka, and Iceberg in a Lakehouse architecture.
Builds and maintains ETL pipelines using Microsoft Fabric and Azure Data Factory, integrating data into OneLake and Lakehouse with SQL, Python, and PySpark.
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