Top SQL Developer Jobs
The Senior Big Data Engineer will lead the modernization of Master Data Management systems, designing and building data solutions across various platforms. Responsibilities include collaborating with cross-functional teams to implement data engineering services, maintaining data quality, and optimizing cloud and big data environments for operational and analytic applications.
The Database Engineer will support the monitoring and maintenance of Multi-Site Progressive systems and Downloadable Gaming Services. Responsibilities include architecting MSSQL solutions, troubleshooting network issues, managing database performance, ensuring system availability, coordinating installations, and providing 24-hour support to service staff and customers.
As a Go-to-Market Analytics Engineer, the role focuses on developing a data platform, architecting scalable data pipelines, managing metrics and models, and designing tools like dashboards that transform data into actionable insights, all within a growth-oriented environment.
The Automation Data Analytics engineer at Bristol Myers Squibb is responsible for providing data engineering and analytics solutions for biologics manufacturing. Key responsibilities include system administration support, development of analytics tools, troubleshooting incidents, and training users on automation platforms.
The Database Engineer is responsible for designing, developing, and maintaining databases, implementing data storage solutions, conducting analysis, and optimizing systems. The role involves creating queries and scripts, supporting Agile development processes, and ensuring compliance with user requirements while working in a secure environment.
The Database Engineer will provide expertise in database design and development, focusing on information storage, retrieval, and data flow analysis. This role includes the development of relational and Object-Oriented databases, database parsers, and improving existing systems. Responsibilities also involve translating requirements into usable database schemas, working within the project lifecycle from inception to system acceptance.
As a Data Engineer, you will design and optimize scalable data pipelines, develop and maintain data architectures, collaborate on business requirements, and implement data quality checks. You will provide technical guidance to junior staff and stay updated on industry trends to drive innovation.
The Data Engineer will design, develop, and maintain data infrastructure and systems for efficient data processing, storage, and analysis. Responsibilities include creating scalable data architectures, implementing ETL processes, and ensuring data alignment with business needs.
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The Software Developer will be responsible for developing and maintaining data platforms, creating automations, and supporting enterprise applications. They will work collaboratively within cross-functional teams, leveraging Python and SQL for data analysis, integration, and application development, while providing insights for business decisions.
As a Senior Data Engineer in Marketing Technology, you will design and maintain data pipelines, develop data models, and collaborate with cross-functional teams to drive marketing insights and improvements. Your work will involve ensuring data quality and building scalable data solutions for effective decision-making.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
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 Software Engineer, Data will develop and automate data pipelines, ensuring technical excellence. Responsibilities include collaborating with senior engineers, supporting technical initiatives, and improving the speed and quality of data solutions within a growing marketing intelligence platform called Polaris.
As a Data Engineer at Coinbase, you will build and maintain data solutions, design robust data pipelines, ensure data quality, and develop automation tools to enhance data science processes and empower user access to accurate data.
The BI Developer will collaborate with engagement leads to create analytics and reporting solutions, leveraging advanced data visualization skills in Tableau and Power BI, alongside expertise in SQL and Azure. Responsibilities include developing and maintaining BI solutions, delivering actionable insights, and enhancing reporting efficiencies.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
The Software Engineer develops software across all layers, works on production support and maintenance for existing software, and collaborates with business analysts to ensure functional requirements are met. They operate autonomously on projects and initiatives vital to business operations.
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.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
The Data Engineer will work on data and analytics solutions, creating data pipelines, designing and implementing analytic solutions, and innovating with digital capabilities to drive business value for Dow.
The Data Engineer II will design and maintain data warehouse capabilities, manage SQL Server databases, develop REST API services, and implement ODBC and OAuth connections for secure data access. Collaborating with cross-functional teams, the role emphasizes delivering optimal data solutions while maintaining high performance and reliability.
The Staff Data Engineer will design and develop data platforms and pipelines, ensuring performance, quality, and service levels. This role involves leading a team of data engineers and collaborating with stakeholders to refine data core platforms, while also mentoring engineers and ensuring adherence to standards in enterprise data infrastructure.
The GCP Data Engineer will design, develop, and implement data solutions primarily utilizing BigQuery and GCP services, manage data pipelines, oversee data engineering projects, and collaborate with stakeholders to ensure data quality. Experience in SQL, Python, and ETL processes is essential.
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
The Data Integration Software Engineer will develop integration strategies, manage third-party developers, and support key end-users in integrating LCP with their systems. Responsibilities include guiding integration practices, managing inquiries, updating documentation, and driving development of integrated solutions.
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