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The Sr. Software Database Engineer is responsible for analyzing data requirements to support the development of large-scale information systems, ensuring alignment with IT architecture standards, and providing technical leadership while mentoring teams in software design and development best practices.
The Data Systems Engineer will interface with data teams to support data access and availability, extract and clean data for a cloud database, oversee data quality initiatives, implement process improvements, and assist stakeholders with technical data issues.
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
The Sr Talend Data Engineer will develop complex Talend data pipelines, perform data reconciliation and unit testing using SQL, and interact with AWS services, specifically reading data from S3 and writing to Redshift.
As a Staff Engineer in the Document Databases team, you will design and maintain the core database infrastructure supporting Stripe’s engineering efforts, solve high-scale distribution issues, and automate operational processes while ensuring a superior customer experience for database infrastructure.
The Principal Data & Integration Engineer will lead agile software development efforts, ensuring data governance and development best practices. Responsibilities include understanding business and IT strategy, mentoring staff, managing projects, and enhancing system reliability and performance. This role also requires hands-on programming and problem-solving.
The Senior Data Engineer leads the development of components of Azure Data Lake, collaborating with various teams to build data solutions. Responsibilities include designing complex software applications, ensuring code quality, advising on data structures, developing integration test specifications, and troubleshooting issues, all while adhering to best practices.
As a Principal Data Engineer, you will design and build data ingestion pipelines, conceptualize high-performance data processing, and collaborate with multiple teams to deliver analytical solutions using Azure and big data technologies. You will also ensure the quality and scalability of your code while engaging with stakeholders across the organization.
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As a Software Engineer at Snowflake, you will design and support a petabyte-scale cloud database, build reliable software for large companies, analyze performance bottlenecks, and implement novel query optimization and distributed data processing algorithms for enhancing data warehousing capabilities.
The role involves configuring Adobe Experience Platform (AEP) to collect data, using AWS Glue and Spark for ETL processes, designing technical solutions for new use cases, and developing complex ETL solutions.
The Staff Data Platform Engineer will define the roadmap for the data platform, lead architectural design, and ensure maintenance of distributed data and middleware infrastructure. Responsibilities include collaboration with cross-functional teams, managing project backlogs, optimizing system performance, and mentoring junior engineers while ensuring compliance and risk management within the platform.
As a Lead Data Engineer, you'll work on developing and maintaining advanced data solutions, design modern data pipelines, provide technical leadership, and collaborate with clients to meet their data needs.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
As a Database Integrations Engineer, you will develop and maintain ETL processes, manage integrations with various databases and APIs, resolve database performance issues, and collaborate on AI and machine learning workflows. The role requires strong technical expertise in database systems and integration strategies.
The Data Engineer will leverage expertise in Informatica Cloud (IICS) for ETL processes, work with Oracle databases, SQL scripting, and Salesforce. The role demands strong analytical reasoning, problem-solving skills, and a solution-oriented mindset, with a requirement for in-person interviews and hybrid work.
The Senior Database Developer at CoStar Group is responsible for designing, building, testing, and deploying scalable applications that handle large datasets. The role includes collaborating with teams, owning complete development cycles, and advocating for technical and non-technical improvements.
As a Senior Data Engineer for Mission Control, you will architect and deploy applications and data systems, creating data pipelines and user interfaces. You will collaborate with stakeholders to optimize data systems, write automations, and develop documentation, all while adhering to Shift4's core values.
The Database Engineer at sFOX will design, build, and maintain high-volume RDBMS systems for real-time trading applications. The role involves collaborating with software engineers, resolving complex database issues, and enhancing data management standards. Strong knowledge of MySQL and experience in transaction-heavy systems are crucial.
The Senior Data Engineer will develop and optimize data pipelines, manage and analyze large datasets, and ensure data integrity. They will collaborate with cross-functional teams to provide insights and support data-driven decisions, leveraging cloud technologies and ETL processes.
As a Senior Data Integrations Engineer, you will manage data integration processes on the Enable platform, assist with data imports/exports, create custom data pipelines using SQL and C#, and work collaboratively with various teams. You will also mentor team members while providing technical support to clients and contributing to process improvements.
As a Tech Lead Data Engineer at Freddie Mac, you will develop data storage and analytic solutions using cloud technologies and microservices architecture, focusing on ETL processes, data governance, and collaboration with analysts to drive business insights.
As a Data Systems Engineer, you will develop key technology for processing blockchain data, implement storage strategies, optimize performance in multi-tenant systems, and build data transformation pipelines. You will also leverage Apache DataFusion and contribute to the engineering of core components of The Graph.
The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.
The Staff Data Platform Engineer will support cloud-based data platforms, particularly Snowflake, by standardizing services, building architectures, maintaining compliance, and enhancing operational excellence. The role requires working collaboratively within Agile teams and mentoring junior staff while driving improvements and scalability.
The Senior Data Engineer/Tech Lead at The Hartford will be responsible for engineering and operationalizing a next-generation analytics solution suite using Oracle PL/SQL, Cloud (AWS), and Big Data Technologies. This role will involve creating, troubleshooting, and enhancing complex ETL processes, leading cloud environment operations, and providing technical consulting and leadership on data integration and distributed data systems.
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