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Overview You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally. Responsibilities Develop,…
The Senior Cloud Data Engineer will design, build, and maintain GCP infrastructure and data pipelines to support analytics and modernize legacy workloads. The role involves using tools like Terraform, BigQuery, and dbt to deliver secure and scalable data solutions.
The Analytics Engineer will join the Technology and Innovation team to build data marts, define KPIs, and transform raw data into clean models using SQL Server and PostgreSQL. They will prepare datasets for reporting tools like Tableau and SSRS while collaborating with business stakeholders.
Design and build data warehouses, BI reports, and AI-ready semantic layers using Microsoft Fabric/Power BI, then evolve into architecting governed data foundations for trustworthy AI agents.
Designs and builds scalable data pipelines and shared data products using BigQuery, dbt, and Python to power Wpromote’s marketing analytics platform, improving standardization and reliability across client solutions.
The Senior Database Developer will design, develop, and optimize enterprise-grade database solutions on SQL Server and AWS (RDS/EC2) to support life sciences operations. The role involves leading technical architecture, ensuring regulatory compliance (GxP, HIPAA), and collaborating with cross-functional teams to manage clinical and commercial data.
Senior Data Engineer designing and delivering enterprise data and AI platforms on Azure and Databricks, building scalable batch/streaming pipelines and implementing DevSecOps practices for a not-for-profit organisation.
The Data Engineer will design and implement scalable data pipelines, data warehouses, and semantic models to support enterprise analytics in the healthcare domain. The role involves leveraging AWS cloud services, Power BI, and dimensional modeling to ensure data governance and high-performance reporting.
Designs, builds, and maintains data pipelines and sources for analytical and business units at a healthcare system, working heavily with SQL, relational databases, ETL processes, and BI tools.
The Data Engineer will design, develop, and maintain an enterprise data platform using Snowflake and Azure Data Factory. They will build scalable data pipelines and transformation processes to support reporting and analytics in Power BI.
Senior Data Analyst designing and supporting enterprise-scale Snowflake data solutions for healthcare data domains, using advanced SQL to prepare trusted data assets for AI and analytics.
Designs and maintains large-scale data pipelines and warehouses using Ab Initio and Snowflake, focusing on ETL/ELT, healthcare data integration, and cloud modernization in an Azure environment.
Build and maintain Allstate’s Microsoft Fabric data platform, designing Bronze-to-Gold pipelines, dimensional models, and Power BI semantic layers to power insurance analytics, Copilot-ready reporting, and regulatory compliance.
Job Title: AWS Database Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Public Trust Employee Type: Regular Percentage of Travel Required: Up to 10% Type of…
Advanced Experience in Power BI, including DAX, data modelling, and building complex dashboards. Advanced Excel skills, including pivot tables, power query, data modelling, and automation (VBA/Macros). and dashboard…
At FHLB Des Moines, we work each day to develop an inclusive culture that supports and leverages the complexity of a diverse workforce. This enables us to effectively serve the needs of our members and help them…
Senior Data Engineer at a consulting firm serving financial clients, designing and implementing enterprise-scale data platforms using Microsoft Fabric, building ETL/ELT pipelines, and implementing Medallion Architecture with SQL, Python, and Azure technologies.
Builds and optimizes data pipelines for risk modelling and strategy at a major bank, focusing on SQL/Spark/Python-based data integration, quality monitoring, and real-time analytics to support financial decision-making.
Lead a small global data engineering and analytics team at a health-tech company while hands-on building batch and event-driven pipelines, dashboards, and data platforms using AWS (Redshift, Glue, Lambda, S3), dbt, Airflow, PySpark, and BI tools like Sigma/Looker.
Designs and builds scalable Azure-based data pipelines and warehouses, then leads the team that maintains and optimizes them for analytics and reporting.
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