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The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.
The Staff Data Engineer will focus on big data engineering, data wrangling, and analysis, emphasizing building data pipelines and implementing IT solutions in the healthcare sector. Collaborating with data engineers, analysts, and scientists, the role involves creating scalable and efficient software architectures while utilizing modern tools like Databricks and AWS services.
The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.
The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.
The Lead Data Engineer at Pendulum will be responsible for developing and optimizing data infrastructure, building and maintaining ETL pipelines, managing data warehouses, ensuring data quality, collaborating with Data Science teams, and implementing monitoring solutions for data systems.
As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.
As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.
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As a Sr. Data Engineer, you will design and build data pipelines for massive datasets, collaborate with data science teams, and construct supporting applications for data orchestration and monitoring.
The Lead Data Engineer at Hanna Andersson is responsible for designing, developing, and managing data warehouses, ETL processes, and data pipelines to drive reporting and business intelligence initiatives. They oversee the data engineering team, collaborate with technical teams and stakeholders, and ensure world-class standards of data integrity and system performance.
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As a Senior Data Engineer at Coinbase, you will build and maintain data pipelines, develop trusted data sources, create analytics products, and enhance data science productivity through automation. Your role involves enforcing best practices, ensuring data quality, and facilitating collaboration with cross-functional teams to support self-serve analytics.
The Staff Data Platform Engineer will build fault-tolerant infrastructure for Generative AI applications, design and deploy data pipelines, enforce engineering best practices, and collaborate across teams to support data science initiatives and enhance Generative AI capabilities.
As a Senior Engineer on the Core Data team, you'll design and build a Cloud Data Warehouse focused on incremental updates, develop ETL pipelines for petabytes of data, and collaborate to improve data processing and infrastructure scalability and efficiency.
As a Principal Engineer on the Data Platform team, you'll architect and build a scalable data platform, driving the development of products while engaging in the software development lifecycle. You'll collaborate with stakeholders, oversee data governance, and ensure data infrastructure is efficient and cost-effective in a fast-paced environment.
As a Data Platform Engineer, you will lead data engineering initiatives, implement data ingestion connectors, build scalable job management on Kubernetes, optimize Spark and Flink applications, and tune clusters for efficiency. Your role will involve troubleshooting and ensuring operational excellence while collaborating with an engineering-focused team.
As a Principal Engineer on the Data Platform team at Nextdoor, you will drive product development, machine learning, data science, and provide world-class data infrastructure and tools. Responsibilities include envisioning and building a scalable data platform, participating in all phases of the software development lifecycle, and developing partnerships with key stakeholders. Requires 7-10 years of experience in data infrastructure at petabyte scale, knowledge of SQL, Spark, computer science fundamentals, software engineering, data science, machine learning, cloud technologies, and strong communication skills.
As a Data Platform Engineer, you will build ML data infrastructure, collaborate with the ML team to understand data needs, and develop data workflows and pipelines. You'll ensure strong data management practices and support innovative AI solutions.
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