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The Associate Data Engineer will design, build, and maintain scalable data pipelines and platforms to support BlackRock's enterprise data products. The role involves working with technologies like Python, Java, Scala, Snowflake, and various cloud platforms to ensure high-quality, governed data delivery.
Lead Data Engineer on the Customer 360 Data Product, responsible for designing data integration pipelines, building scalable cloud data capabilities, and governing data products across the Customer & Sales domain.
This is a pre-sales technical role focused on designing and presenting cloud-native data engineering and streaming architectures to enterprise clients. The specialist will lead Proofs of Concept, influence product roadmaps, and provide deep expertise in technologies like Apache Spark, Kafka, and Flink to support AI-ready data foundations.
Data Analyst on the Commercial Lines Data Monitoring and Implementation team, extracting, modeling, and analyzing data using SQL, SAS, Python, R, Power BI, and Denodo to support business intelligence and decision-making at a large insurance/financial services cooperative.
Lead Digital Product Manager owning the strategy, roadmap, and governance for an enterprise knowledge platform that powers AI agent marketing workflows via RAG, automated ingestion, and retrieval capabilities at Wells Fargo.
Lead the architecture, scalability, and reliability of enterprise observability and telemetry platforms at Wells Fargo, focusing on Splunk, Cribl, ITSI, and agentic AI systems in hybrid and cloud environments.
The Senior Manager, Commercial Markets Operations, is responsible for leading all aspects of information management and analysis within Commercial Markets Operations. This role evaluates complex corporate information…
Associate Data Engineer building and supporting ETL/ELT data pipelines, data quality processes, and a Snowflake-based cloud data platform for a large dental healthcare network.
Design, develop, and maintain scalable data pipelines and platforms using Databricks, Delta Lake, SQL, Java, and Python for a Fortune 10 healthcare company.
Hands-on Solutions Engineer designing and delivering enterprise-scale data engineering solutions on Microsoft Azure and Microsoft Fabric, building data lakehouses, pipelines, and platforms for public sector and regulated industry clients.
Design, build, and maintain scalable data ingestion and transformation pipelines using Databricks, Python, PySpark, and SQL in cloud environments to support analytics and AI initiatives.
The Data & Analytics Solutions Architect will lead the design and implementation of scalable enterprise data platforms and AI capabilities using GCP and Snowflake. The role involves migrating legacy systems, establishing data governance, and providing technical leadership to cross-functional engineering teams.
Senior Data Engineer building scalable data platforms, ETL/ELT pipelines, and data lakes on Azure and AWS using PySpark, Databricks, and Apache Spark.
An AI Forward Deployed Engineer embedding with enterprise clients to build production-grade applications on proprietary foundation models, involving RAG pipelines, model fine-tuning, agentic workflows, and inference optimization using Python, PyTorch, vector databases, and cloud infra.
The AWS Data Engineer will design, build, and maintain end-to-end data lake and lakehouse solutions on AWS. The role involves developing ingestion pipelines, managing data transformation workflows, and enforcing security and governance standards using AWS services.
Design, develop, and maintain scalable ETL data pipelines on Databricks and Azure, integrating diverse data sources to support analytics, reporting, and ML while ensuring governance and reliability.
The Software Development Engineer II will design and scale data services for Ring, focusing on real-time search, log analytics, and data management. The role involves building automation tools, implementing predictive modeling, and maintaining REST-based APIs to support observability across Ring's device and cloud ecosystem.
Lead Data Engineer designing and maintaining enterprise data warehouses, data lakes, and ETL/ELT pipelines using Snowflake, DBT, and AWS cloud services for a U.S. bank's India GCC.
Senior Data Engineer designing, building, and maintaining scalable data ingestion frameworks and data infrastructure on AWS using Python, PySpark, SQL, and big data technologies like Hadoop and Spark.
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