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Lead a team building scalable fintech platforms in Java/Spring, modernizing enterprise systems with AI-first practices and event-driven architectures for millions of users.
The Data Science Engineer III will design, develop, and maintain scalable batch and streaming data pipelines on GCP to support AI/ML-driven travel products. This role involves collaborating with cross-functional teams to ensure high data quality and performance within Sabre's cloud-native data intelligence platform.
The Senior Lead Data Engineer will design and build scalable, low-latency streaming data platforms and pipelines using technologies like Flink, Spark, Kafka, and cloud-based data warehouses. The role involves leading engineering teams in an agile environment to deliver robust data solutions that support financial services.
Job Description What is the opportunity? As a Manager, Digital Product Analytics, you will report to the Director of Digital Product Analytics to help digital teams understand the customer acquisition journey in our…
Cloud AI/ML Engineer at Evernorth (Cigna Group) in Hyderabad, operationalizing ML models into production-ready batch jobs using Python, PySpark, and AWS within an agile team.
A senior engineer embedded with Databricks’ strategic customers to design and build custom full-stack applications on the Databricks platform, blending data engineering, AI, and application development for enterprise clients.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
The Lead Data Engineer will design and optimize data infrastructure for banking analytics using the Quantexa platform. The role involves leading a team to build Spark-based data pipelines, managing containerized deployments on OpenShift, and collaborating with DevOps to maintain high-performance data systems.
Cloud AI/ML Engineer operationalizing machine learning models into production batch jobs using Python, PySpark, and AWS within an agile team at a large healthcare services organization.
Senior Data Engineer building high-volume data processing pipelines on Redshift, Athena, Iceberg, Spark, and Airflow to support data scientists analyzing global internet performance data.
Builds and maintains geospatial data infrastructure to track Amazon’s environmental impact (carbon, water, waste) by designing pipelines, automating ETL/ELT processes, and enabling risk assessments using AWS tools and Python/Scala/Java.
Senior Data Engineer at Amazon designing and building large-scale AWS data products (Kinesis, Spark, EMR, Glue, Redshift) to measure, govern, and improve AI-driven seller interactions for millions of Amazon Selling Partners.
Contract Full Stack Developer focused on an AV Sync project involving iOS mobile prototyping, on-site testing in Salt Lake City, and building scalable web/mobile apps using frontend frameworks (React/Angular), backend technologies (Node/C#/Java), and SQL/NoSQL databases.
Design and deploy scalable data and analytics products for Unilever's Customer Operations, bridging business strategy with enterprise data platforms and AI/ML capabilities using SQL, Python, PySpark, Azure, and visualization tools like Power BI and Tableau.
Build and deploy ML, graph, and deep-learning models to solve complex banking problems, turning data into actionable strategies for BBVA’s global operations.
Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of relevant experience in data engineering roles with primary skills on…
Hands-on lead engineer building scalable data and cloud solutions for regulatory model applications using PySpark/Python, Databricks, and AWS on cross-functional teams at JPMorgan Chase.
Senior ML Engineer building fraud detection and identity security models (credential stuffing, ATO) at Disney, using Python, scikit-learn, pandas, and TensorFlow/PyTorch on large-scale data.
The Lead Architect at Cox Automotive will define architectural vision and drive platform modernization for retail and inventory management systems. The role involves leading solution design, integrating generative AI, and mentoring engineering teams while working in a hybrid environment.
The Machine Learning Engineer will build and deploy scalable ML models for ad targeting, identity resolution, and audience signals within Netflix's ad-supported tier. The role involves working with low-latency real-time systems, big data tools like Spark, and cross-functional teams to optimize advertising performance.
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