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Data Engineer — AI & Agentic Solutions
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
Senior Data Engineer (AWS)
Designs and maintains scalable data pipelines and lakehouse architectures on AWS, specializing in PySpark, ETL/ELT workflows, and serverless automation for fintech/regulatory data.
Data Engineer Data Engineer (Snowflake, DBT & AWS)
The Data Engineer will design, build, and maintain scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The role involves developing data models, ensuring data quality, and implementing security and governance standards for enterprise data solutions.
Senior Data Engineer
Senior Data Engineer leading data engineering delivery for data lakes, platform modernization, and reporting solutions at Manulife in Hong Kong, using Azure Cloud, Databricks/Spark, and AliCloud big data tools.
Analytics Engineer
Builds and maintains data pipelines, lakehouse architecture, and BI tools (e.g., Qlik Sense) to transform raw data into actionable business insights for Telia Finance’s decision-making.
Sr Data Engineer
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse datasets to power analytics, ML, and business applications at Hertz.
Data Domain Architect Assoc
Data Domain Architect at JPMorgan Chase designing scalable data architectures, domain models, and data products within a medallion-architected lakehouse environment for the International Consumer Bank, using SQL, ETL, and data warehousing technologies.
Senior Technical Business Analyst- Onshore (W)
Senior Healthcare Business Analyst bridging clinical/pharma data needs and Databricks data engineering—designing Lakehouse structures for clinical trials, EHR data, and CDISC-compliant regulatory submissions using SQL, Python, and Delta Lake.
Software Engineer V, AI Digital & Engineering Software
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Software Engineer III, AI Digital & Engineering Software
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
Microsoft Fabric BI Developer
Design, develop and optimise Microsoft Fabric data solutions, migrating Power BI reports to Fabric and building semantic models to power finance reporting and analytics across multiple data domains.
Microsoft Fabric BI Developer
Build and optimise enterprise reporting and analytics solutions on Microsoft Fabric and Power BI, focusing on finance reporting, semantic models, and stakeholder engagement in a hybrid London role.
Databricks Data Architect
Designs and builds scalable Databricks-based data architectures to power analytics and AI initiatives for a growing enterprise.
Engineering-L2-Dallas-Analyst-Software Engineering
Software Engineer on the Data Platform team in Dallas, building and supporting batch and streaming data pipelines, curated datasets, and data quality controls on a modern Lakehouse/AI data stack using SQL, Spark, Python/Java, and tools like Snowflake, Databricks, and Iceberg.
Senior Data Engineer
Senior Data Engineer designing and building scalable Azure Databricks-based data pipelines, ETL processes, and lakehouse architectures using Python, SQL, Apache Spark, and Delta Lake at a law firm.
Sr Data Engineer
Designs and optimizes data pipelines for Disney/ESPN’s marketing analytics, ingesting vendor data (paid media, attribution, etc.) into Databricks/Snowflake for reporting and dashboards.
Lead Software Engineer
Lead Software Engineer at Nike manages technical projects, data pipelines, and team performance, focusing on scalable data solutions, LakeHouse architectures, and optimizing data workflows using Spark, SQL, Python, and cloud services.