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Designs and manages healthcare data architecture for analytics, BI, and clinical decision-making, integrating EHR/EMR systems and ensuring HIPAA compliance.
Analyst on Disney's Licensing Analytics team using SQL, Snowflake, and Tableau to build dashboards, run retail/marketing analyses, and present data-driven insights to senior executives.
Builds and maintains data pipelines using SSIS/Fabric to extract, transform, and load data for business reporting; ensures data quality and collaborates with analysts to deliver dashboards and insights.
The Senior Data Analytics Developer will design, develop, and maintain enterprise data models and analytics solutions using Power BI and Snowflake. This role involves migrating legacy BI systems, building ELT processes, and collaborating with stakeholders to support data-driven decision-making.
Query and analyze healthcare quality-measures data, design and maintain ETL solutions and the Enterprise Data Warehouse in SQL, and build reports/dashboards using Tableau or Power BI for a health insurer.
The Licensing Analytics Analyst supports Disney Consumer Products by analyzing retail and licensee data to drive business strategy and decision-making. The role involves building data pipelines, creating visualizations, and developing insights using tools like SQL, Snowflake, and Tableau.
Analyst supporting Molina Healthcare's risk adjustment predictive analytics—designing suspect/targeting systems, building QA reporting, and analyzing claims/pharmacy/lab data using SQL, Power BI, and cloud platforms (Azure/AWS).
Application Developer I Job Summary The Developer I, Application for Asset Technology AMI position within Gas Technology Delivery will work with limited supervision to design and develop custom applications to support…
The Sr. Data Analyst is responsible for acting as Single Family Operations’ primary data analyst and report developer for Single Family Operations. This role involves collaborating closely with Single Family…
Builds and maintains scalable data warehouses and BI solutions using SSAS, DAX, SQL Server, and ETL tools to deliver high-quality data for business teams.
Designs and maintains scalable data pipelines, ETL/ELT processes, and analytics solutions using Databricks, Spark, dbt, and Power BI to support business intelligence and stakeholder collaboration.
Azure Data Engineer on a 6+ month contract designing, building, and optimizing ETL/ELT data pipelines and analytics solutions using Databricks, dbt, Apache Spark, Python, Azure Data Factory, SQL Server, and Power BI.
This is an early-career ETL developer role focused on data warehousing and integration tasks using tools like Informatica, Python, and SQL. The position is a contract-to-hire opportunity based in Pittsburgh, PA.
Designs and implements cloud-based data analytics solutions for enterprise clients using Azure technologies, focusing on data modeling, ETL/ELT pipelines, and analytics services like Azure Synapse and Analysis Services.
Develop and maintain a data and cloud migration framework to move on-premise assets to Snowflake and Azure, working extensively with Python, SQL, and Kubernetes in an agile environment.
Senior Python/SQL Data Engineer building data and cloud migration frameworks to move on-premise software assets to Snowflake and Azure Cloud platforms for a financial industry client.
abra professional services is seeking a Data Engineer (.NET / Kafka / ETL) ! In this role, you will design and develop data services across cloud and on-premises environments. The position requires strong expertise in…
Senior ETL Developer building and optimizing IBM DataStage ETL pipelines for data warehousing, with strong SQL, Unix shell scripting, and full-stack .NET/C# experience in an Agile environment.
Senior software engineer building and integrating enterprise healthcare payer systems on the QNXT platform, improving operational efficiency for a healthcare client.
Senior data engineer at a Dutch government nuclear safety authority, designing and building ETL/ELT pipelines, a medallion-architecture data warehouse, and data integrations using SQL Server, Python, and Power BI on a managed environment transitioning to cloud-native.
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