You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact, protecting our way of life in the digital age by preventing successful cyber attacks.
Compensation
$90,000.00 - $147,500.00/yr
Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy software solutions with agility and rapid iteration.
Use and experiment with AI-assisted development tools (e.g., Cursor, Claude Code) to boost productivity and improve code quality.
Help define and evolve new engineering practices that leverage AI for code generation, testing, documentation, and refactoring.
Write clean, maintainable, and well-documented code, and actively participate in peer reviews and team design discussions.
Contribute to the automation of development, deployment, and monitoring processes as part of a DevOps culture.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Machine Learning, or a similar technical field
Elaborar y liderar el plan de trabajo técnico para implementar, desplegar, capacitar y estabilizar proyectos y mejoras en GCP, con reporting en Power BI.
Diseñar arquitecturas de datos escalables y seguras en BigQuery, Cloud Storage, Dataflow, Dataproc, Composer y Pub/Sub.
Definir estándares de modelamiento, calidad, observabilidad, CI/CD e IaC; gestionar documentación, pruebas y control de versiones.
Interactuar con usuarios, científicos de datos e ingenieros para priorizar requerimientos, desbloquear dependencias y mentorizar al equipo.
Resolver issues productivos en GCP y Power BI, optimizando performance y costo, coordinando escalamiento con proveedores cuando aplique.
Requirements
Profesional universitario en Ingeniería de Sistemas, Ingeniería de Software o carreras afines
The Analytics Analyst applies descriptive and prescriptive analytics to generate actionable insights from large-scale healthcare transaction data.
Compensation
At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $95,300 - $116,500 per year.
Responsibilities
Execute analytics workstreams under guidance, including data extraction, cleaning, feature creation, exploratory analysis, and results validation.
Build and maintain recurring reporting and dashboards that communicate key trends, performance signals, and product/customer insights.
Translate business questions into analytic tasks (metrics definitions, cohorts, time windows, segmentation) with support from senior teammates.
Attend and participate in product discovery for new products, supporting senior teammates and stakeholders as requirements take shape.
Explore available data sets and document their contents; build basic charts and prototypes so stakeholders can confirm what they need before development begins.
Requirements
Bachelor’s degree in data science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field
Oxy is forming a new team to address emerging technologies like Virtual Reality, Drones, Cloud, IoT and Blockchain. The role involves using design thinking to form strategies for incorporating latest technologies into the workplace.
Responsibilities
Have a passion for technology, being current on and understanding the latest IT trends
Use design thinking to form strategies and create roadmaps for how best to incorporate the latest technologies into the workplace
Present complex topics to senior leaders in an easy to understand way
Apply creative approaches to how best to leverage technology
Assist the Pricing Development team in developing, enhancing, and testing insurance pricing models and applications.
Compensation
Salary Range: $20-22.
Responsibilities
Gain knowledge of the insurance industry and how your function contributes to organizational success
Contribute to team projects, analysis, and reporting
Support the execution of day-to-day activities and special initiatives within your function
Participate in problem-solving and process improvement efforts
Communicate effectively with team members and share insights with managers and mentors
Requirements
Bachelor’s degree in a relevant field (e.g., Business, Finance, Economics, Accounting, Mathematics, Information Technology, Computer Science, Risk Management)
Join a global engineering organization building AI-powered digital experiences used by millions of consumers worldwide, rebuilding the real-time event and consumer backbone.
Responsibilities
Design and build highly scalable cloud-native services, APIs, event streams, and data pipelines processing customer data and business events at global scale
Design and implement asynchronous messaging with Kafka and cloud-native equivalents (e.g., Azure Event Hub, Google Pub/Sub)
Design and maintain consumer analytics datasets, data models and transformation workflows via modern data platforms (e.g., dbt, Spark, Databricks) to support reporting, personalization and AI use cases
Collaborate with senior engineers and architects to design solutions across APIs, event streams, and distributed systems
Translate ambiguous business problems (working with product, data, and business teams) into scalable technical solutions
