Data Engineer

Sponsorship: Visa sponsorship is not available for this position.

A leading investment-focused organization is seeking a Data Engineer to join its AI & Data Platform Engineering team. This is a highly visible, hands-on role responsible for building the foundational frameworks, libraries, and platform capabilities that enable enterprise-scale data and AI initiativ

esThe ideal candidate will help define how data is structured, processed, and leveraged across the organization while developing reusable tooling that allows engineering teams to build, deploy, and scale data products more efficient

ly
Responsibilit

• iesDesign, develop, and maintain reusable data engineering frameworks, libraries, and platform compone
• ntsBuild scalable solutions supporting both batch and real-time data processing worklo
• adsEstablish engineering standards around code quality, testing, observability, documentation, and release managem
• entPartner with architecture, infrastructure, security, and product teams to drive adoption of common engineering patterns and best practi
• cesLead technical design discussions focused on framework architecture, integration strategies, and performance optimizat
• ionImprove developer productivity through standardized tooling and reduced engineering duplicat
• ionSupport platform reliability through monitoring, upgrades, and long-term framework maintena
• nceMentor engineers and contribute to a collaborative, high-performing engineering cult

ureQualificati

• ons4+ years of experience in Data Engineering, Software Engineering, or Platform Engineer
• ingStrong programming experience with Python, Java, or Sc
• alaExperience building reusable libraries, frameworks, APIs, or internal developer platfo
• rmsHands-on experience with modern data technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, or similar platfo
• rmsStrong understanding of distributed systems, data pipelines, orchestration, CI/CD, automated testing, and observabil
• ityExperience working within cloud-based environments and large-scale data platfo
• rmsAbility to collaborate across multiple engineering teams and influence technical direct
• ionExposure to AI, LLMs, or AI engineering frameworks is highly desira

ble.Why J

• oinOpportunity to shape the core data and AI platform supporting enterprise-wide initiati
• vesHigh-impact role with strong visibility across engineering and business leaders
• hipModern technology stack with significant investment in AI, cloud, and platform engineer
• ingCollaborative environment focused on innovation, technical excellence, and continuous improvem