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Builds and maintains scalable data pipelines to ingest, transform, and store data from diverse sources (relational, event-based, unstructured) for analytics, reporting, and AI/GenAI use cases, collaborating with business and IT teams to enable agile data delivery.
A VP-level Principal Software Engineer leads development of intraday trading tools for Structured Credit & Financing, collaborating with traders, risk teams, and global tech to enhance workflows, resolve production issues, and build scalable solutions for trade booking, risk/PnL, margin, and reporting in a fast-paced financial services environment.
Principal Data Engineer designs and leads enterprise-scale data platforms on GCP, integrating AI/ML and ensuring reliability, security, and governance for global-scale systems.
Build and optimize AWS-based data pipelines and products using Python, PySpark, and Scala to power CommBank’s Business Banking analytics and AI-driven solutions.
Develops AI-driven predictive models for credit risk and customer behavior using advanced ML techniques, explainability tools, and large-scale data analysis to inform underwriting decisions in a regulated fintech environment.
Leads AI platform engineering for Capital One’s distributed Gen AI systems, designing scalable LLM inference, guardrails, and vector search infrastructure to power real-time banking applications.
Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
Designs and modernizes data pipelines, migrating SQL Server to Hadoop/Databricks while enabling AI-driven insights and real-time analytics for Visa’s global payments infrastructure.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms to support enterprise reporting and AI-driven initiatives. The role utilizes technologies such as Azure, Databricks, Snowflake, and dbt to ensure high-quality data availability for the foundation's mission-driven work.
Fullstack engineer on Criteo's App Growth team, building and debugging backend services, APIs, data pipelines, and internal tools with C#, ASP.NET Core, Angular, and TypeScript to improve app product performance and reliability.
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines to support analytics and AI/ML workloads. The role focuses on creating observable, reliable data systems using modern cloud platforms and tiered data architectures.
Senior Director owning the technical vision and end-to-end delivery of JPMorganChase's Consumer & Community Banking Risk Feature Engineering Platform, a Databricks/Apache Spark-based feature store and real-time feature generation system.
We are looking for an Experienced Data Engineer with strong hands-on experience in Databricks -based data platforms. The role focuses on building, optimizing, and maintaining scalable data pipelines, data lakes, and…
Design, automate, and scale the infrastructure for a fintech AI platform that detects money laundering and fraud using Linux, Kubernetes, and cloud tools.
**A Day in the Life** The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and workflows that support analytics, business intelligence, machine learning, and…
Designs and leads cloud-native, secure architectures for large-scale public-sector digital transformation programmes to improve citizen services.
This role involves building and maintaining large-scale distributed data processing systems and AI-driven workflows to support Apple's media services like Apple TV+. Engineers will work with big data technologies and LLM integration to create scalable, privacy-focused infrastructure.
Leads data pipeline architecture and optimization for a mortgage lender, designing ELT workflows in Snowflake/Informatica to integrate internal/external data sources (e.g., Zillow, CoreLogic) for analytics, reporting, and business insights while ensuring security, scalability, and cost efficiency.
Data Engineer building and maintaining data pipelines, ETL/ELT processes, and analytics tools on Azure/GCP using Databricks, Python, Spark, and SQL for a software development services company.
This role will be based in Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this…
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