Top SQL Developer Jobs
As a Data Engineer, you will design, develop, and maintain data pipelines, conduct data analysis to provide insights, collaborate with teams using Agile methodologies, and optimize pipeline performance while participating in the software development lifecycle.
As a Senior Data Engineer at CrowdStreet, you will build and influence the architecture of a new data platform, handle the full lifecycle of software development, and work with various teams to translate data needs into actionable initiatives. Responsibilities include optimizing data ingestion and modeling, maintaining data pipelines, and collaborating to enhance data operations.
The Database Administrator is responsible for managing, supporting, and developing databases for TNS products. This includes tasks such as backup and recovery, troubleshooting SQL bugs, maintaining data integrity, and providing 24x7 on-call support. The role requires extensive knowledge in various database technologies and leading projects.
The Staff Engineer will develop and deploy complex data solutions, lead technical planning and architecture efforts, collaborate with cross-functional teams, and enhance data standards and processes, ensuring system integrity and performance.
The Senior Data Engineer at onX is responsible for creating and maintaining the data ecosystem to enhance data discoverability. Responsibilities include designing scalable data pipelines using GCP services, developing data models, optimizing data processing for performance, ensuring data quality and security, and collaborating with cross-functional teams for effective data solutions.
The Senior Data Architect Lead will establish and maintain a data infrastructure, lead data software product development, manage work using Agile methodologies, and design scalable data architecture solutions. This includes collaborating with stakeholders, performing data analysis, supporting data governance, and ensuring high-quality and performance standards for data processes.
The Power BI Developer will build end-to-end solutions using Power BI, focusing on data querying, transformations, data modeling, visualization, report development, and distribution via Azure. The role requires proficiency in SQL and DAX, as well as strong communication skills for project management.
As a Senior BI Engineer at DigitalOcean, you'll design and implement data models using dbt, develop ETL processes, build and maintain data warehouses, and optimize performance of data pipelines. You'll collaborate with teams to understand business requirements and document data architectures and processes.
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As a Lead Data Engineer, you will design and implement data pipelines, provide technical leadership, and collaborate with stakeholders to analyze requirements and deliver scalable data engineering solutions using cloud technologies. You will also mentor other engineers and stay updated on cloud advancements.
As a Data Architect, you will drive data architecture strategies, implement data governance practices, and create data models. You'll collaborate with senior leadership and stakeholders to modernize UMB's data infrastructure to enhance analytics and ROI.
The Sr Data Engineer will be responsible for expanding and optimizing the data pipeline architecture, collaborating with business leaders to create data assets, and participate in the design of the AWS-based data platform. The role demands extensive experience with SQL and AWS technologies, and involves building analytics tools for actionable business insights.
As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.
As a Senior Software Engineer in Data Platforms, you will design and develop big data solutions on cloud infrastructure, lead project teams, and collaborate with stakeholders to create scalable data integration systems. Your role includes implementing real-time data processing and continuous deployment workflows, leveraging various technologies.
The Athenix Database Engineer role involves providing technical expertise for database design, development, and analysis to support systems for national defense. Responsibilities include managing database structures, implementing systems using cloud methodologies, and ensuring compliance with information assurance standards.
The Enterprise Data Architect will develop and optimize database solutions, ensure system functionality, migrate data from legacy systems, design data models, and coordinate with Data Science to meet future needs. They will also define security and backup procedures and enhance system performance through testing and troubleshooting.
Lead Data Engineer responsible for designing, implementing, and maintaining data pipelines on cloud platforms. Provide technical leadership, collaborate with teams, and stay updated on latest cloud technologies. Must have experience with ETL, data warehousing, SQL/NoSQL databases, programming languages, DevOps tools, and big data concepts.
The Data Architect at McKesson will design and implement data architectures, ensuring effective data storage, integration, and governance. Responsibilities include developing data pipelines, collaborating on architectural deliverables, and supporting data needs across multiple teams. A focus on deploying data lakes and warehouses, as well as optimizing Microsoft Power BI, is required.
As a Lead Data Engineer, you will design, implement, and maintain modern data pipelines using cloud technologies. You'll collaborate with product owners to analyze requirements, provide technical leadership, and stay updated on the latest cloud innovations, ensuring solutions meet customer needs.
Seeking a Senior Data Engineer with extensive experience in Databricks on AWS or Azure to design, build, and maintain scalable data architectures, ensure data integrity, and optimize data flow and collection. Responsibilities include developing ETL processes, ensuring data quality and security, and leading data governance implementation. Required skills include proficiency in Databricks, AWS services, Unity Catalog, SQL, and big data technologies, along with strong communication and problem-solving skills.
As an ETL Developer, you will be responsible for developing and maintaining ETL processes to transfer data to our enterprise data warehouse. You will collaborate with team members to ensure data migration accuracy, manage scheduling, and monitor production jobs. Additionally, you will contribute to the decommissioning of Hadoop and the migration to Snowflake.
As a Senior BI Engineer, you will design and implement data models and architectures, develop ETL processes, build and maintain data warehouses, and create BI reporting infrastructure. You will collaborate with various teams to translate business needs into data solutions while optimizing data performance.
As a Senior BI Engineer, you will design data models, develop ETL processes, maintain data warehouses, and optimize data pipelines. Collaborate with various teams to translate business requirements into technical solutions while documenting data architectures and processes.
The Database Developer will design and develop enterprise-wide database systems for the City of Chicago, focusing on inventory and work order management. Responsibilities include ensuring data integrity, collaborating with analysts and users, and participating in all development life cycle stages—from planning to delivery and debugging.
The Lead Data Engineer at CapTech will design, implement, and maintain advanced data pipelines utilizing cloud technologies. The role involves providing technical leadership, collaborating with product owners, and ensuring solutions align with customer requirements. A focus on continuous learning and problem-solving in a team environment is vital.
Principal Analytics Engineer responsible for developing and maintaining platforms, patterns, pipelines, assets & BI solutions for cross-functional data operations & analytics. Must have pharmaceutical experience and be able to empower others to adopt successful patterns & practices in data management.
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