Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions using multiple technologies to address cross-functional business and technical needs, and translate architecture into functional and technical specifications.
Compensation
$179,500.00 - $246,500.00
Responsibilities
Architect and design complex, enterprise-scale Data Platform, Data Lake and Lakehouse solutions
Provide end-to-end architecture and technical leadership across cloud data platforms, Lakehouse, Data Lake, data integration, batch and streaming processing
Provide architecture leadership for ongoing Data Platform production support and operations
Lead resolution of complex cross-platform production issues involving Databricks, Spark, cloud infrastructure, storage, streaming, data pipelines, networking, security, data quality and downstream consumers
Lead technical Root Cause Analysis (RCA) for high-impact and recurring incidents
Senior Data Analyst supporting transportation analytics, reporting, shipment visibility, and data quality initiatives across RXO's transportation network.
Compensation
Compensation for this role is $73,976 - $92,440. The role may also be eligible for bonus or commission pay.
Responsibilities
Analyze transportation, shipment, and operational datasets to identify trends, exceptions, and opportunities
Support transportation visibility initiatives through data analysis, testing, validation, troubleshooting, and continuous improvement efforts
Develop and maintain SQL queries, datasets, and analytical models to support reporting, automation, and operational decision-making
Create and maintain dashboards, KPIs, scorecards, and reporting solutions using Power BI and related analytics tools
Identify and resolve data quality issues while supporting data governance and master data management initiatives
A hands-on, technically strong AI Automation & Innovation Analyst role to identify, design, build, and operationalize applied AI, automation, and data-driven solutions for LATAM operations.
Locations (2)
Bogota, Bogota, Colombia
Buenos Aires, Buenos Aires, Argentina
Responsibilities
Develop and implement automation solutions that streamline repetitive, manual, or time-consuming business processes.
Build AI-enabled workflows using Python, APIs, workflow automation tools, approved generative AI capabilities, and cloud-based data assets.
Design and build end-to-end solutions including data ingestion, backend logic, APIs, user interfaces, dashboards, lightweight web applications, and deployment-ready prototypes.
Work hands-on with the company’s AWS-based data warehouse to query, transform, integrate, and prepare data.
Partner with Analytics and Data Science teams to understand analytical assets, predictive models, business logic, and reporting products.
The Senior AI Security Engineer will own day-to-day enterprise security, lead technical incident response, and help Mercola use and secure AI across the business.
Compensation
Pay $130,000–$150,000 annual base, based on relevant experience and demonstrated capability.
Responsibilities
Own the incident queue, risk register, and remediation backlog.
Assign owners and deadlines, maintain policies and runbooks, and report progress and unresolved risks to leadership.
Lead technical incident response from triage through recovery validation.
Coordinate containment, preserve evidence, and involve Legal or specialist responders as needed.
Strengthen identity, access, and infrastructure controls across Microsoft 365, Entra ID, AWS, and connected applications.
Provide customer experience and solution support for TMS, including deployment, troubleshooting, automation, and DB health analysis.
Compensation
Competitive Salary, Christmas Bonus (30 days), Savings Fund, 15 Vacation Days first year and 60% Bonus, Major and Minor Medical Service insurance for you and your family, Life Insurance
Responsibilities
Deployment and troubleshooting application related issues
Troubleshooting, fixing, and preventing application availability issues
Application health monitoring
Developing automations (Python, Cycle, RPA etc.)
DB health analysis (statistics, fragmentation, query execution plan, indexes, delete, update, etc.)
Provide excellent customer experience and solution support to Blue Yonder's customers with ownership, proactive and innovative approach showing moderate competency in product and domain, Azure, solution architecture & relevant tools and technologies.
Compensation
Competitive Salary, Christmas Bonus (30 days), Savings Fund, 15 Vacation Days first year and 60% Bonus
Responsibilities
Deployment and troubleshooting application related issues
Troubleshooting, fixing, and preventing application availability issues
Application health monitoring
Developing automations (Python, Cycle, RPA etc.)
DB health analysis (statistics, fragmentation, query execution plan, indexes, delete, update, etc.)
ML Engineer focused on LLMs, agents, and reinforcement learning for autonomous supply chain decision-making.
Responsibilities
Design and implement LLM-powered agent environments for supply chain decision-making
Fine-tune, adapt, and evaluate LLMs for domain-specific reasoning and decision support
Design, test, and iterate on reward functions that capture the behaviors we want from LLM agents
Review LLM traces and rollouts to understand model reasoning, failure modes, reward hacking, and shortcut behaviour
Identify when an LLM is exploiting the reward function, escaping the intended RL process, or optimizing for proxy metrics instead of the real objective
Requirements
Nice to have: human-in-the-loop ML systems
Nice to have: evaluation frameworks for open-ended tasks
Engineer Lead (Java)NewStarbucks · Seattle, US
Senior AI Security EngineerNewMercola · US