Senior Data Engineer
Design and scale data infrastructure and pipelines to process massive volumes of ad-tech and CRM data for real-time analytics. Develop ETL/ELT workflows and data models to optimize campaign performance and supply analysis.
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Design and scale data infrastructure and pipelines to process massive volumes of ad-tech and CRM data for real-time analytics. Develop ETL/ELT workflows and data models to optimize campaign performance and supply analysis.
Own the strategy and execution of Next Best Action (NBA) and Next Best Offer (NBO) frameworks to drive customer engagement and retention. Manage end-to-end data pipelines and technology stacks to activate targeted audiences across multiple marketing channels.
Lead and mentor a team of software engineers to scale distributed systems and drive platform quality. Collaborate with cross-functional teams to define project scopes, manage technical initiatives, and implement scalable software solutions.
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Design and develop AI-powered features and agentic workflows to help users analyze large datasets. Take ownership of the full development lifecycle from rapid prototyping to shipping scalable production-grade solutions.
Design and develop AI-powered features and agentic workflows to help users analyze large datasets and enterprise data. Take ownership of the full development lifecycle from rapid prototyping and experimentation to shipping scalable production software.
Design and develop AI-powered features and agentic workflows to help users analyze large datasets and enterprise data. Take ownership of the full development lifecycle from rapid prototyping and experimentation to shipping scalable production features.
Design and develop AI-powered features and agentic workflows to help users analyze and organize large datasets. Take ownership of the full development lifecycle from rapid prototyping to scaling production-grade AI solutions.
Design and develop AI-powered features and agentic workflows to help users analyze large datasets. Take ownership of the full development lifecycle from rapid prototyping to shipping scalable production-grade solutions.
The role involves translating business needs into technical deliverables for data and reporting solutions. You will coordinate between Data Engineering, Product, and external partners to ensure the successful delivery of data products.
Own the end-to-end video production process from concept and scripting to editing and publishing for various B2B social platforms. Create high-performing short-form content, AI-native videos, and motion graphics to translate complex technical cloud stories into engaging visual assets.
Build and grow the company's Data Warehouse by developing ETL/ELT pipelines and modeling payment and product data. Create clear dashboards for business teams and implement data validation tests to ensure reliable reporting.
Design, build, and maintain scalable cloud-based data pipelines and ETL/ELT processes. Ensure data governance compliance while collaborating with cross-functional teams to evolve data infrastructure.
Build and optimize cloud-native data pipelines on AWS using AI tooling to power analytics and ML systems. Design data models and implement governance and testing to ensure high data reliability and auditability.
Build and optimize cloud-native data pipelines and infrastructure on AWS to power AI and analytics. Design scalable data models and implement governance to ensure reliability for operational and financial reporting.
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Lead complex healthcare customer engagements to migrate legacy Teradata environments into modern cloud Lakehouses. Design and implement automated cloud infrastructure using Terraform while ensuring strict HIPAA and PHI compliance.
Design and maintain scalable backend services and APIs to power digital experiences and personalization platforms. Implement data ingestion, transformation, and secure integrations between upstream data sources and downstream applications.
Develop and deploy scalable machine learning models, including recommendation engines and predictive analytics, to enhance customer intelligence. Collaborate with cross-functional teams to translate business requirements into production-quality code and data pipelines.
Lead the creation of portfolio risk and opportunity analyses and standardized retention playbooks to empower the Customer Success organization. Design and launch a subscription-based Value-Added-Services offering to monetize retention expertise and drive new revenue.
Define and execute the long-term ML technical vision for the Trust organization to combat fraud and ensure platform safety. Lead the design and productionization of scalable ML models and pipelines, including Agentic AI and anomaly detection.
Partner with Product and Operations to identify growth opportunities and shape strategy through data-driven hypotheses. Design and iterate on experiments while building AI-powered analytics platforms and self-service tools.
Design and build scalable Data and AI platform capabilities to support analytics, data science, and Generative AI workflows. Develop reusable frameworks and standardize data pipelines while ensuring security, reliability, and operational excellence.
Lead the design and implementation of the TERA Automated Gateway platform using Azure cloud integration and data pipelines. Provide technical oversight, establish engineering standards, and collaborate with cross-functional teams to ensure secure interoperability with DoD systems.
Lead the stewardship of critical Pharma R&D data domains to ensure data quality, compliance, and usability across the research value chain. Manage a team of data stewards to operationalize governance standards and deliver trusted data products for AI/ML and business insights.
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Design, build, and optimize scalable data pipelines and lake architectures using AWS-native services. Develop distributed data processing workflows and maintain robust ETL/ELT processes to support data-driven decision-making.
Design, build, and optimize scalable data pipelines and lake architectures using AWS-native services. Develop distributed data processing workflows and maintain robust ETL/ELT processes to enable data-driven decision-making.
Design and build full-stack applications using React and Python/FastAPI to enable clinicians to access and visualize clinical data. Develop data models, transformation pipelines, and REST APIs while ensuring high standards for code quality and data reliability.
Ensure the end-to-end reliability, quality, and operational health of healthcare data pipelines from ingestion to consumption. Implement SRE principles, AI-powered observability, and monitoring frameworks to maintain strict data SLAs and compliance.
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