Associate Data Engineer

POSITION SUMMARY Our company is growing rapidly and is hiring Associate Data Engineers to support our data solutions team. This individual will be on a team that is using cutting edge technology to build solutions that work with large volumes of data across multiple platforms. They will partner with our team of data scientists, data gurus, and product owners to maintain, support & deliver products that will help drive decision making. ESSENTIAL JOB FUNCTIONS: L2 Support: Manage and respond to platform Incidents, service requests and managing ITSM process using ServiceNow following ITIL practices (SLA adherence) Monitor and triage Palantir Foundry pipelines and data health checks Handle critical incidents with timely resolution and keeping stakeholders informed Provide technical support and troubleshooting for Palantir software implementations Ensure compliance with data security Collaborate with cross-functional teams to support & deliver high-impact data solutions. Maintain runbooks and SOPs for recurring issues Creating & maintaining data pipelines using Pipeline Builder and Code Repositories Establishing data connections, building data health monitors, and analyzing data lineage Work with the Development Team and translate business needs, challenges and requirements into solutions that deliver value to the organization and do minor enhancements and bug fixing from time to time. Participate in shift rotations to ensure 24x7 coverage Qualifications EDUCATION & EXPERIENCE: MINIMUM REQUIRED QUALIFICATIONS Bachelor’s or master’s degree in computer science, Information Technology, or other related fields Strong academic performance (CGPA ≥ 7.0 or equivalent). Knowledge in languages/ frameworks such as Python, SQL, Pyspark, Typescript . Demonstrated interest in data engineering for data applications with Machine Learning, analytics, or software development. Preferred Certifications such as Foundry Application Developer Foundry Data Analyst, Foundry Data Engineer a plus Knowledge of analyzing data using tools like Code Workbook, Contour and Quiver Familiarity with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch). TECH STACK, KNOWLEDGE AND ABILITIES Languages: Python, SQL, TypeScript Frameworks: PySpark Platforms: Palantir Foundry Data Tools: Pipeline Builder, Data Connections, Code Repos, Contour, Quiver, Workshop Self-Starter, Problem Solving Aptitude & Challenging status quo Continuously researches and evaluates emerging technologies Team player, Excellent Communication & inter personnel skills

Location: Mexico, MX

Posted Date: 8/26/2025