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Senior Data Engineer, Finance
Design and build cloud-based data pipelines and warehouses for T-Mobile’s Finance domain using Azure, Databricks, dbt, and Python to enable analytics, reporting, and compliance.
Senior Data Engineer
Senior Data Engineer builds and optimizes ETL/ELT pipelines using Azure Data Factory, Databricks, and PySpark, while enforcing data engineering standards and mentoring junior engineers.
Data Engineer
Build and maintain scalable ETL/ELT pipelines, cloud data warehouses (Snowflake/BigQuery), and orchestration workflows (Airflow) to deliver reliable, analytics-ready data for business intelligence and machine learning.
Data Analytics Manager
Lead a team of data analysts to build AI-augmented Power BI dashboards and SSAS Tabular models for commercial real estate analytics, using SQL, Snowflake, and Microsoft’s BI stack.
Data Engineer
Build and optimize ETL/ELT pipelines and data interfaces to feed BI systems, apps, and websites, using tools like Informatica or Azure Data Factory and advanced SQL.
Senior Data Engineer
Build and maintain Azure-based data pipelines, warehouses, and lakes using SQL, PySpark, and Azure services to support financial reporting and analytics.
Senior Data Engineer, BI
Build and maintain scalable data pipelines, warehouses, and BI reports using Microsoft Fabric, SSIS, SQL Server, and Power BI for a credit-union fintech.
Data Engineer
Designs and builds scalable data pipelines and warehouses in Azure, using Python, Spark, and T-SQL to transform healthcare data and support analytics for IEHP’s member services.
Data Engineer
Designs and maintains ETL pipelines, data warehouses, and analytics infrastructure using Azure tools, SQL, PySpark, and Databricks to ensure reliable healthcare data for reporting and modeling.
Cloud Engineer
Designs, implements, and maintains Azure cloud infrastructure and data platforms, focusing on Azure Databricks, SQL processing, and secure networking for a ceramics manufacturer.
Senior Azure Data Engineer - Remote/Hybrid (Fabric)
Design and build scalable Azure data pipelines using Data Factory, Synapse, and Fabric to deliver end-to-end analytics solutions for enterprise clients.
Big Data Platform Engineer
Engineer and maintain a Kubernetes-based big-data platform using Azure services, Apache NiFi, and CI/CD pipelines to ensure reliability and security.
Senior Azure/Fabric Data Engineer
Design and build a modern Azure/Microsoft Fabric data platform for a pharma CDMO, integrating ERP and manufacturing systems to support finance, supply chain, and quality functions.
Cybersecurity Engineer, Azure DevSecOps (Remote)
Build and secure cloud-native apps on Azure: embed security into CI/CD pipelines, protect AKS workloads and data platforms (Cosmos DB, Snowflake), and govern AI coding tools—using Defender for Cloud, Snyk, Terraform, and Kubernetes.
Technical Release Manager
About the Role The Technical Release Manager will own end-to-end release governance, deployment planning, production readiness, and change management across the EDO ecosystem, including Azure Databricks Lakehouse,…
Databricks Data Engineer
Build and maintain scalable data pipelines on Azure Databricks and Azure Data Factory using Spark, Python/Scala, and SQL.
Senior D365 Cloud Platform Engineer (Microsoft Dynamics D365/Power Platform Admin with DevOps, AI & GCP cloud skills)
Build and automate UKG’s Dynamics 365 and Power Platform infrastructure on Azure and GCP, using IaC, CI/CD, and AI tools to improve reliability, security, and developer self-service.
Microsoft Azure Cloud Engineer/Developer
Build and optimize cloud data pipelines on Azure using Spark, Kafka, Hadoop, and Databricks, plus ETL/ELT with Azure Data Factory and SQL Server Integration Services.
Data Engineer, Cybersecurity Sciences & Analytics
Build and maintain cloud-based data pipelines and ETL workflows for cybersecurity analytics, using Python, SQL, Azure, and streaming tech to ingest and process large-scale datasets.
Data Engineer
Build and maintain data pipelines and platforms for materials research, integrating lab data and enabling ML workflows to support sustainability and safety science.