Tech jobs
Job listings
Software Engineer
Build and maintain enterprise lottery and betting systems using C#, .NET, and SQL Server, focusing on backend APIs, stored procedures, and performance tuning.
Lead Technical Support Engineer
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment…
IT Systems Analyst Lead
Lead enterprise system upgrades, patching, and maintenance for Windows/Linux and SQL/Oracle databases while coordinating with cross-functional teams to deliver scalable IT solutions.
Senior Software Engineer - Murex
Build and maintain Murex-based derivatives systems, integrating trade data with reporting and accounting platforms using SQL, .NET/C#, Java, and ETL tools.
Lead Software Engineer - Murex
Lead a team building and integrating Murex-based derivatives systems for investment accounting, regulatory reporting, and trade lifecycle automation using SQL, .NET/C#, Java, and cloud data tools.
Lead QA Automation Engineer ,Vice President
Lead a QA automation team to design and maintain Selenium-based frameworks, validate ETL pipelines, APIs, and dashboards, and ensure data integrity across Citi’s financial platforms.
Senior Software Engineer
Build and maintain full-stack enterprise software for a commercial real-estate firm, using C#/.NET, React/Angular, and JD Edwards while ensuring security and cloud-native deployment.
Manager Data Warehouse - Health Plan
PCHP- Parkland Community Health Plan Primary Purpose Parkland Community Health Plans (PCHPs) Manager, Data Warehouse is responsible for providing oversight of PCHPs Data Warehouse Team to advance and maintain PCHPs…
Software Engineer
Build and maintain database-driven applications using C#, .NET, React, and SQL Server for a university-focused organization.
Data Scientist
Builds data pipelines and predictive models to power executive dashboards and analytics for a defense contractor, using SQL, Tableau, and ETL tools.
Data Engineer Co-Op
Build and maintain data pipelines to extract, transform, and load manufacturing and business data, collaborating with senior engineers to optimize ETL processes using tools like Azure Data Factory and Microsoft Fabric.
Data Scientist
Build and optimize machine learning models for time-series forecasting and predictive analytics using Python, PySpark, and SQL to drive business value in healthcare logistics.
Amazon Data Engineer, Business Operations Analytics
Build and maintain scalable data pipelines and warehouses for Amazon Business’s B2B ecommerce supply chain, using SQL, Python, Spark, and big-data tools to support analytics and ML.
Amazon Data Engineer, Cross Border Science and Analytics
Build and maintain data pipelines and warehouses using SQL, Python, Spark, and Hadoop to support cross-border analytics and customer experience at Amazon.
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
Design and build enterprise-scale data pipelines, ETL/ELT processes, and data warehouses to support analytics and reporting for a $66B financial institution.
Procurement Business Intelligence Engineer
Procurement BI Engineer III Location: San Pedro Garza Garcia-Nuevo Leon-Mexico Time Type: Full time Job Description Johnson Controls, a global leader in thermal management, mission-critical building systems, energy…
Data Architect
Design and optimize large-scale, cloud-ready data architectures for an insurtech platform, focusing on SQL, NoSQL, and cloud data pipelines to support high-performance, secure systems.
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
Senior Data Engineer designs and maintains enterprise-scale data pipelines, ETL/ELT workflows, and data lakes using Databricks, Spark, SQL, Kafka, and AWS services to support analytics and AI/ML initiatives.