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Data Engineer (Azure Data Platform) + Informatica
Design and build ETL/ELT pipelines using Informatica and Microsoft Azure tools, migrating enterprise data to cloud-based Microsoft Fabric and integrating AI services like Azure OpenAI.
Senior AI Data Engineer
Designs and operates enterprise-grade data and AI platforms using GitOps, building scalable ETL pipelines, feature stores, and RAG systems to power Netwrix’s security-focused AI products.
Mid/Senior Data Engineer (Databricks)
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
Senior Fabric/Data Engineer | SB
Build and migrate enterprise data platforms to Microsoft Fabric, designing cloud-based analytics, pipelines, and governance for large-scale transformations.
Data Engineer (all genders)
Build and maintain Mettler Toledo’s data platform, creating scalable pipelines and ensuring high-quality data flows for analytics and AI/ML using Databricks, Snowflake, and Python.
Data Engineer Azure @ Connectis_
Build and maintain a global enterprise data platform in Azure, designing ETL/ELT pipelines with PySpark and Databricks to support reporting, analytics, and financial processes worldwide.
Senior Staff, Data Engineer
Design and maintain high-scale data pipelines processing billions of ad events daily, modernize legacy systems into cloud-native lakehouse architectures, and ensure low-latency, privacy-compliant data delivery for monetization and decisioning.
Senior Staff, Data Engineer
Designs and maintains high-scale data pipelines processing billions of ad events daily, modernizes legacy ad-tech systems into cloud-native lakehouse architectures, and ensures reliable, low-latency data delivery for monetization and analytics.
Senior Staff, Data Engineer
Senior Staff Data Engineer builds and optimizes high-throughput ad-tech pipelines processing billions of daily events, modernizing legacy systems into cloud-native lakehouse architectures.
Data Engineer (all genders)
Designs and maintains scalable data pipelines and a central data platform using Databricks and Snowflake to power analytics and AI/ML across the organization.
Data Engineer (all genders)
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Senior Data Engineer – Data Platform
Build and evolve a cloud-native AWS data platform with reusable ETL pipelines, self-service components, and observability tooling for large-scale data processing.
Senior Data Engineer
Senior Data Engineer ensures banking data quality and regulatory compliance, maintains data lineage, and supports BCBS239 initiatives using SQL and governance frameworks.
Data Engineering Lead
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Data Engineer
Build and maintain the data pipelines and warehouse that power a quantitative investment firm’s ML-driven equity strategy, using Python, Snowflake, Airflow, DBT, and AWS.
Data Engineer
Design and optimize data pipelines for research data egress and dashboard ingestion, ensuring high availability and integration with AI tooling in a financial services environment.
Data Engineer
Build and maintain data pipelines, integrations, and governance tools to ensure transparent, traceable, and trusted financial data across systems.
Data Architect
Designs and implements scalable, secure cloud data architectures across GCP, AWS, and Azure to support analytics, AI/ML, and real-time systems for a cloud-first enterprise.
Data Engineer: Governance, Pipelines & Quality
Builds and maintains data pipelines, ensures lineage and quality, and operationalizes governance for a fintech company.
Data Architect
Design and implement a cloud-native data ecosystem on Azure for a credit union, using Databricks, Spark, Unity Catalog, and Purview to build secure, scalable, and compliant data pipelines and governance frameworks.