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The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
Data Architect responsible for defining, evolving, and governing Toyota LatAm's lakehouse data platform architecture, including data modeling, security standards, and governance practices using cloud data platforms like Azure, AWS, and Databricks.
Senior Data Engineer designing, building, and optimizing ETL/ELT pipelines with Databricks and Azure Data Factory to support enterprise data warehousing and analytics at a biotech/pharmaceutical company.
Lead data engineering for LillyDirect, a direct-to-patient pharmacy platform, building HIPAA-compliant data pipelines, consent governance, and semantic layers using SQL, Python, Databricks, and cloud DW tools in a regulated pharma environment.
Lead a small team of data analysts overseeing regulatory reporting submissions (OCC, FRB) at a bank, using SQL, Python, and Databricks to build data pipelines and apply AI/ML to automate reporting workflows.
Lead a team of five experienced data engineers building and operating Databricks-based data pipelines for a Fortune 500 analytics program, setting technical direction, engineering standards, and delivery practices.
The Senior Data Engineer will design and maintain enterprise data pipelines and infrastructure using Azure Databricks, Apache Airflow, and containerized technologies. This role focuses on building scalable data solutions, ensuring data observability, and collaborating with cross-functional teams to support advanced analytics.
The MLOps Lead Engineer will design and automate end-to-end machine learning production lifecycles on the Databricks Lakehouse platform. This role involves leading technical implementations, managing CI/CD/CT pipelines, and providing governance and upskilling for client-side engineering teams.
The Solution Architect will design and implement scalable multi-cloud and Generative AI solutions for clients, bridging business requirements with technical execution. The role focuses on AWS, Azure, and GCP environments, utilizing LLMOps, RAG, and agentic AI frameworks to deliver production-grade platforms.
Designs and delivers multi-cloud, AI-driven enterprise solutions (GenAI/Agentic AI, RAG, LLMOps) for clients, leading architecture, POCs, and technical delivery across AWS/Azure/GCP.
The Databricks Data Engineer will design and implement scalable ETL/ELT pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role requires deep expertise in the Databricks ecosystem, including Spark, Delta Lake, and Unity Catalog, to build robust, secure, and governed data solutions.
The Databricks Data Engineer will design and implement scalable data pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role involves working with the Databricks platform, cloud-native environments, and ETL/ELT workflows to deliver robust, secure data solutions.
The Applied AI Scientist builds and deploys generative AI and agentic systems to automate regulatory submissions and R&D processes within a GxP-regulated environment. The role focuses on leveraging LLMs, NLP, and Databricks to analyze scientific documentation and improve cycle times for pharmaceutical product development.
The Data Engineer will design and maintain scalable ETL/ELT pipelines using Databricks, Python, Spark, and SQL to support analytics and AI/ML workloads. The role also involves modernizing existing Microsoft-based data environments, including SQL Server, SSIS, and SSRS.
The Dairy Data Scientist will analyze complex biological and operational dairy data to improve herd performance and farm decision-making. The role involves applying statistical modeling and programming (Python, R, SQL) to support research and develop analytical tools for the dairy industry.
Data Engineer designing and maintaining ETL/ELT pipelines in Databricks (Python, Spark, SQL) to power reporting, analytics, and AI/ML workloads while modernizing legacy SQL Server/SSIS/SSRS infrastructure.
Dairy Data Scientist applying statistics, predictive modeling, and programming (Python, R, SQL, Databricks) to analyze dairy production, herd health, and sensor data and turn it into actionable insights for dairy operations.
The Lead Software Engineer will design and deliver services for an engineering-intelligence platform, focusing on backend APIs, data pipelines, and AI-assisted development workflows. The role involves building scalable, secure, and cloud-native solutions using Java, Python, and AWS technologies within a regulated financial environment.
Build and maintain Allstate’s Microsoft Fabric data platform, designing Bronze-to-Gold pipelines, dimensional models, and Power BI semantic layers to power insurance analytics, Copilot-ready reporting, and regulatory compliance.
Principal Data Engineer designs and owns Blattner’s Microsoft Fabric-based data lakehouse, mentors the team, and builds pipelines from 30+ enterprise systems.
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