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Job Summary We are seeking a seasoned Senior Data Engineer to architect, enhance, and sustain our primary data infrastructure. In this role, you will be responsible for creating dependable pipelines, overseeing…
About Strategus Strategus is a CTV‑first, fully managed service partner and pioneer in programmatic Connected TV-focused on defining "What's Next" in data‑driven advertising. Our culture is built on three…
Hands-on data engineering leader driving data enhancements across SQL Server/SSIS/SSRS, DBT, Python, and Fivetran, focused on architecture, code quality, CI/CD, observability, and coaching engineers at a Manila-based company.
Data Engineer building a composable CDP (Atlas) at an entertainment marketing agency, working with Snowflake, dbt, Python pipelines, and AI-assisted development tools.
On a regular basis you will Immerse yourself in data, uncovering insights that drive strategic decisions and proactively investigating operational trends Develop and maintain dashboards that tell meaningful stories…
Design and optimize cloud-based data pipelines and warehouses for a global connectivity platform, using Python, SQL, and modern data tools.
If you're ready to join a team of talented developers, you belong here. We are seeking Data Engineers to join our Software + Solutions Developer team and work with subject matter experts to develop, construct, and…
About Us At Blue Margin, we’re on a mission to build the go-to data platform for PE-backed mid-market companies. We provide hosted data platforms that help executives and operators turn data into a strategic advantage.…
The Data Engineer will design and maintain a cloud-based data lakehouse on Azure to support clinical analytics and AI initiatives. The role involves building batch and real-time data pipelines, migrating healthcare data from legacy systems, and ensuring data integrity and compliance.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Data Engineer building and scaling cloud-based data platforms and pipelines (batch and streaming) using SQL, Python, dbt, Databricks, AWS, and Snowflake for a pet insurance holding company's enterprise analytics organization.
Design scalable solutions and system integrations for EQT's financial operations, establishing technical standards and partnering with tech leads, engineers, and external vendors across complex, high-availability systems.
Designs and builds Snowflake-native data architectures, ETL/ELT pipelines, and developer utilities to enable analytics and data products, focusing on performance, security, and governance.
Why Rogo Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy,…
Lead the design and delivery of modern data platforms for private equity clients, guiding teams to build scalable solutions on Snowflake, Azure, and Databricks while managing budgets, timelines, and client relationships.
Manager, Commercial Solution Engineering San Francisco, CA (hybrid, 4 days/week onsite) Sigma is the AI runtime environment for the modern enterprise. Teams build apps, agents, and analytics directly in Sigma, with…
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
The Data Engineer will design and maintain scalable data infrastructure and pipelines using AWS, Snowflake, Airflow, and DBT to support analytics and ML initiatives. The role involves building robust data models and collaborating within an Agile team to improve data quality and processing efficiency.
Build Harbor Compliance's first end-to-end data platform — designing real-time streaming/CDC pipelines, vector database infrastructure for AI use cases, and a cloud warehouse/lakehouse layer using Kafka/Flink/Debezium, dbt, and Snowflake/BigQuery/Databricks.
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