Top SQL Developer Jobs

The Data Engineer will develop, maintain and optimize ETL processes, write optimized code for large datasets, conduct data analysis, implement data processing systems using SQL and Python, collaborate with teams for data requirements, ensure data quality and security, monitor data infrastructure performance, and provide ongoing support for ETL tasks.

Seeking a Data Engineer to design, develop, test, and deliver data pipelines and integrations for clients, create product-based solutions, advise on technology development, and evaluate new technologies. Responsibilities include collaborating on data requirements, developing ETL processes, implementing infrastructure automation, ensuring data quality, designing database schemas, writing SQL queries, and monitoring data pipelines. Requires a Bachelor's degree in Computer Science, 3-5+ years of data engineering experience, strong Python skills, familiarity with database systems, cloud platforms, and containerization technologies.

The Sr. Data Architect at CDK Global will design and optimize data platforms, ensuring data integrity, security, and efficient processing. They will collaborate with stakeholders to align business needs with technical solutions across various data functionalities, and oversee the implementation of data models and architecture for diverse applications.

As a Senior Data Engineer at Mozilla, you will focus on the Analytics Engineering team, designing and maintaining scalable data models and ETL pipelines, improving data infrastructure, and ensuring data quality and compliance. You'll collaborate with data scientists and other engineers to support data-driven decisions and improve access to data across the organization.

As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.

The Data Engineer II will design and maintain the data warehouse, focusing on ETL processes and data architecture. They will collaborate with various teams to gather data requirements, support data analysis, and develop reporting mechanisms. This role demands proficiency in big data tools and analytical skills to create efficient data solutions.

As a Data Engineer, you will collaborate with scientists and software developers to design, develop, test, and maintain programs for NCBI's biomedical data resources. You will focus on implementing bioinformatic algorithms and developing cloud-ready tools and pipelines for managing large genetic datasets effectively.

The Cloud Data Solutions Architect designs and implements data warehousing solutions in cloud environments, translating business needs into data models, optimizing existing systems, and collaborating with teams to ensure data integrity and alignment with business strategies. Additionally, they manage cloud data solutions, improve ETL processes, and oversee data governance and security frameworks.

As a Principal Data Engineer at Material Bank, you will design scalable database systems for an eCommerce catalog, emphasizing BOM management and decentralized data ownership. Responsibilities include creating data models, developing ingestion pipelines, and ensuring data quality across multiple platforms. You will also lead the development of a self-serve data infrastructure for domain teams to autonomously create and manage data products.

The Database Administrator will provide support for database systems involved in planning and executing missions for the Joint Navigation Warfare Center, develop data processing protocols, and monitor databases for optimal performance.

The Principal Database Administrator will manage and improve database environments, particularly PostgreSQL and Aurora-PostgreSQL, focusing on performance, scalability, and availability. This role involves administering databases in cloud infrastructure, collaborating with engineering teams, ensuring security, and supporting software development with complex queries and optimization.

The Sr. Data Engineer will design, code, and maintain data pipelines, ensuring data is clean, processed, and harmonized from various sources. Responsibilities include implementing scalable data pipelines using ETL, optimizing data architecture, and utilizing cloud technologies to meet business objectives.

The Senior Data Engineer will design, code, and maintain data pipelines, ensuring efficient data processing and analysis. Responsibilities include architecting scalable pipelines, optimizing data storage, and leveraging cloud technologies to support business objectives.

The Senior Principal Engineer, Data Infra will enhance data consumption across Cardlytics by collaborating with data science and analytics teams to improve workflow efficiencies, conducting infrastructure audits, developing proof of concepts, optimizing data infrastructures, and leading transitions to new technologies.

The BI Developer will facilitate communication between the Data Reporting Team and customers to align software objectives with business needs. Responsibilities include understanding business requirements, creating specifications for reports and dashboards, managing project delivery, and providing support during implementation.

The Senior Data Engineer will work with data warehousing team to transform transactional data into datasets for reporting and analytics. Required skills include ETL development, database development, data integration, and strong SQL experience. Experience with large complex data systems, software administration, and ability to learn new tools quickly is crucial.

The Data Engineer will analyze datasets from various sources to ensure accuracy, automate ETL processes, and support traders in generating insights. The role requires programming skills, SQL experience, and the ability to communicate findings effectively.