Data Engineer
Design, build, and maintain scalable ETL/ELT pipelines to ingest data from various travel-related sources. Collaborate with cross-functional teams to deliver high-quality datasets and implement data quality monitoring.
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Design, build, and maintain scalable ETL/ELT pipelines to ingest data from various travel-related sources. Collaborate with cross-functional teams to deliver high-quality datasets and implement data quality monitoring.
Design and build scalable data pipelines and ingestion frameworks to support AI-enabled workflows for revenue cycle management. Manage cloud-native data platforms and ensure data quality, lineage, and governance across enterprise systems.
The role involves maintaining and expanding data models and Databricks pipelines to transform complex healthcare data into actionable insights. You will also partner with cross-functional teams to execute technical roadmaps and mentor junior engineers.
Develop and implement comprehensive data quality strategies, testing methodologies, and automation frameworks for data pipelines and analytical datasets. Collaborate with data engineering and stakeholder teams to ensure data accuracy, integrity, and reliability across the software development lifecycle.
The Senior AI Software Engineer will own software architecture and design while building AI-powered systems in a regulated healthcare environment. They will also champion AI-forward development workflows and collaborate across teams to deliver scalable, high-quality technical solutions.
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The Lead Data Engineer manages the data engineering team and provides technical direction for infrastructure, pipelines, and data systems. This role involves hands-on technical development while partnering with business leaders to translate organizational needs into scalable data solutions.
Design, build, and maintain scalable data pipelines and infrastructure to support AI-powered products and analytics across the organization. Collaborate with cross-functional teams to operationalize machine learning models and ensure data quality, governance, and accessibility.
You will design, build, and maintain scalable data pipelines and platform infrastructure to support enterprise reporting, analytics, and AI-driven decision-making. You will collaborate with cross-functional teams to translate raw data into reliable, governed, and consumption-ready data products.
You will lead architectural improvements to the data infrastructure and manage the transformation layer within the data warehouse. Additionally, you will build and productionize machine learning models while enhancing CI/CD processes for data quality.
The engineer will evaluate, deploy, and operate low-code tools and agent builders within the organization's cloud infrastructure. They are responsible for integrating these tools with corporate systems and writing custom Python or TypeScript code to handle complex requirements.
You will lead the design, development, and deployment of enterprise-scale data engineering solutions and AI-powered data pipelines. You will also collaborate with cross-functional teams to optimize ETL/ELT architectures and drive data governance across healthcare data sources.
Develop and maintain backend and data processing systems using Python to handle large-scale geospatial imagery. Collaborate with the team to build reliable data pipelines and optimize system performance for geospatial analysis.
The role involves designing, building, and maintaining scalable BigQuery datamarts and analytical tables to support BI reporting. You will also develop data pipelines and transformation workflows while ensuring data quality and governance across the environment.
You will own the architecture of the ingestion and integration platform, setting technical standards for data freshness and reliability. You will lead design across team boundaries and mentor engineers to ensure the platform scales effectively.
The IT Project Manager and Business Analyst will plan and manage multiple technology projects to ensure they are delivered on time, within scope, and on budget. They will act as a liaison between business partners and technical teams to gather requirements, define success metrics, and manage project dependencies.
The Solutions Architect will design, build, and scale an enterprise data platform while bridging strategic vision with technical execution. This role involves leading data ingestion strategies, implementing medallion architecture, and optimizing Snowflake performance and costs.
The Data Engineering Solutions Specialist will drive sales execution and customer adoption for Snowflake's ingestion and data engineering workloads. This role involves developing sales strategies, managing client relationships, and collaborating with cross-functional teams to meet revenue targets.
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You will build and lead the decision science team to turn data into actionable insights for product, pricing, and operating plans. This role involves setting the function's strategy, mentoring team members, and presenting complex analytical findings to executive leadership.
You will build and maintain production backend services, APIs, and data pipelines for warehouse intelligence platforms. You will also collaborate with senior engineers to troubleshoot production systems and improve overall platform reliability and performance.
You will take ownership of core analytical models by reverse engineering existing R code and conducting rigorous statistical analysis. Additionally, you will design and deploy new predictive models while mentoring junior team members and collaborating with data engineering.
You will own and optimize core analytical models by deconstructing existing R algorithms and conducting rigorous statistical analysis. Additionally, you will design new predictive models, refactor code for production, and mentor junior team members.
Architect and implement scalable data pipelines while developing ETL/ELT processes to ingest data from various sources. Collaborate with cross-functional teams to perform exploratory data analysis and design data models that support high-quality analytics.
Architect and implement scalable data pipelines while developing ETL/ELT processes to ingest data from various sources. Collaborate with cross-functional teams to perform exploratory data analysis and design data models that support high-quality analytics.
You will be responsible for the design, development, integration, and maintenance of data pipelines and applications. You will also architect scalable technical solutions and diagnose production issues while collaborating with the development lead.
The Senior Manager, Data Engineering is responsible for creating, managing, and optimizing data and BI platforms while partnering with stakeholders to deliver robust data pipeline solutions. This role also involves leading sprint planning, managing team members, and ensuring the operational excellence and governance of data architecture.
You will build and operate the data platform for fleet telematics products, managing end-to-end workstreams from architecture to production deployment. Responsibilities include developing streaming and batch pipelines, ensuring data reliability, and implementing observability and cost-optimization strategies.
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You will design and operate production services for data ingestion, normalization, and enrichment to deliver threat intelligence. You will also build reliable event-driven pipelines and establish reusable engineering patterns for the team.
The Senior Data Engineer will lead the design, development, and scaling of the company's data warehouse and analytics platform. They will also partner with internal teams to build models and dashboards while ensuring data quality, security, and compliance.
You will lead the development of core products by architecting scalable systems and integrating AI-native workflows into the development lifecycle. You will also own the full feature lifecycle, from technical strategy and design to post-launch performance monitoring and business impact analysis.
The CRM Operations Manager will strengthen the data foundation and operational mechanics of lifecycle marketing programs by managing platforms like Braze and Amplitude. This role involves enabling team efficiency through automation, process documentation, and cross-functional collaboration to deliver personalized user experiences.
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