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Top Data Engineer Jobs in Orlando, FL
The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.
As a Data Engineer at Bonterra, you will design scalable data models, build data pipelines, and deliver analytical solutions to empower nonprofit clients. You'll collaborate with cross-functional teams, solve complex data challenges, and mentor colleagues to promote best data engineering practices.
The Data Engineer will design and implement scalable analytics solutions, build data pipelines, and deliver impactful data models. They will work collaboratively with teams to develop insights that help nonprofit clients make data-driven decisions.
The Marketing Technology Data Engineer will design and build data solutions for managing and integrating real-time and batch data, focusing on data quality and availability for enterprise clients. The role involves developing data pipelines, implementing CI/CD processes, and collaborating with teams to meet client needs while leveraging Google Cloud services.
As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.
Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.
As a Data Engineer at Vetcove, you will design and maintain scalable data pipelines and optimize data workflows using advanced methods like Large Language Models (LLMs). You will collaborate with backend engineers to ensure data integration and utilize databases for efficient data storage and querying.
The Google Cloud Data Engineer Manager at PwC leads the design and implementation of data infrastructure and solutions, develops data pipelines, and integrates data. This role involves mentoring team members, ensuring project success, and fostering collaboration with stakeholders to enhance data-driven decision-making.
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As a Senior Manager in Google Cloud Data Engineering at PwC, you will design and implement data infrastructure solutions and develop data pipelines. You'll manage teams, coach staff, and leverage cloud technologies to enhance data architecture and compliance with governance policies, while acting as a strategic advisor for clients and developing solutions to complex challenges.
As a Data Engineering Manager at PwC, you will lead the design and implementation of data solutions, manage team performance, and enhance data architecture strategies. Your role involves developing data pipelines, integration, and transformation solutions while mentoring team members. You will ensure projects meet quality standards and collaborate with stakeholders to address data requirements, all while upholding PwC values and professional standards.
As a Senior Data Engineer at Arcadia, you will design and develop data pipeline connectors for healthcare data integration, manage technical documentation, participate in team projects, code reviews, and scrum ceremonies, while ensuring timely delivery of solutions and collaborating with various internal teams to enhance analytic capabilities.
The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer, you will transform operational data into analytical data, perform data analysis, write schema changes, and maintain ELT pipelines. You will champion a data-driven culture and interface with internal clients to understand their data needs, alongside troubleshooting data issues.
As a Senior Data Engineer at Instacart, you will build and maintain data pipelines to support paid marketing campaigns, collaborating with cross-functional teams while ensuring high-quality scalable solutions. You will drive data-driven decisions and enhance marketing strategies.
The Associate Principal Engineer (Data Engineer) will focus on data integration and warehousing, translate client requirements into technical designs, and oversee architecture and design practices while ensuring adherence to best practices. The role involves problem-solving, POCs development, and collaboration with development teams in an Agile environment.
Lead data engineer role at Wipfli focusing on the continuous advancement of a modern data lakehouse. Responsible for translating requirements into effective data models, developing in data technologies, managing project life cycle activities, achieving/maintaining proficiency in required skills, and collaborating with team members.
The Senior Full-Stack Data Engineer will lead the development and support of ETL processes and Business Intelligence solutions for government clients. Responsibilities include managing data warehousing tasks, developing BI reports, collaborating with stakeholders for data delivery, and maintaining data models and environments using Agile methodologies.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
The Staff Data Science Engineer will spearhead data-driven innovations for online grocery delivery at Instacart, focusing on building intelligent systems, enhancing data collection methods, and developing user-friendly tools for data scientists. This role requires strategic collaboration across teams, prioritizing various data initiatives, and implementing complex technical solutions that impact multiple facets of the business.
As a Senior Manager Big Data Engineer at Allstate's Arity, you will design and implement scalable architecture solutions for high-performance systems. Collaborating with cross-functional teams, you will tackle real-time decision-making challenges, focusing on cloud-native systems and high-throughput computing to enhance scalability and reliability.
As a Software Engineer at Doximity, you will improve data pipelines, enhance an intelligent content prioritization system, and collaborate closely with product managers and data analysts to streamline data architecture and efficiency.
The role involves designing and overseeing data deployment and operations for structured and unstructured data sources, developing scalable data pipelines, analyzing data trends, and collaborating with various teams to improve business outcomes.
The Data Engineer will develop, test, and maintain scalable Python applications, collaborate with teams to deliver quality software, write clean and efficient code, and contribute to system design while staying updated with industry trends.
As a Data Engineer at Abbott, you will design, develop, and maintain data architecture and pipelines to analyze large data sets. You will solve complex data problems, manage data sources, and ensure data security. The role includes mentoring and creating best practices for data capturing and management, utilizing SQL and other programming languages to support research scientists.
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