Top SQL Developer Jobs
As a Staff Data Engineer, you'll design, develop, and maintain efficient data workflows and cloud infrastructure for GM Commercial Software. Your focus will be on optimizing streaming data pipelines, automating data processing, and transforming data within the data lakehouse for fleet insights and machine learning applications.
As a Senior Lead Data Architect at JPMorgan Chase, you will develop high-quality data architecture solutions for software applications, drive business impact, and shape global architecture strategies. Responsibilities include evaluating technologies, ensuring data compliance, developing and tracking KPIs, leading data model design, and contributing to engineering practices.
As an Oracle PL/SQL Developer at Citi, you will be responsible for implementing and coordinating application systems while collaborating with teams. You'll analyze requirements, design defect-free solutions, and apply DevOps practices to support application development, ensuring high performance and effective customer support.
The Data Engineer will collaborate with various stakeholders to deliver high-quality datasets, develop ETL pipelines, manage data warehousing solutions, ensure data integrity, and implement security practices to ensure compliance with data regulations. Responsibilities include supporting data pipelines and on-call duties.
As a Data Engineer at Arcadia, you will be responsible for developing solution architecture and data pipeline connectors between client data management platforms and Arcadia's analytic solutions. Your role involves designing connectors, unit testing, participating in scrum methodologies, and ensuring project timelines are met. You'll work collaboratively to enhance and support integrations for healthcare clients.
This Senior Data Engineer role at Liberty Mutual involves designing, developing, and testing data warehouse reporting solutions in a Cloud-based environment. The role requires working in an agile team to build data pipelines, workflows, and data provisioning solutions for the Claims business partners.
As a Lead Data Engineer at Capital One, you will collaborate with Agile teams to design, develop, and implement technical solutions using a modern tech stack. You will mentor other engineers, lead initiatives in cloud-based solutions, and drive innovations in credit card processing, all while leveraging big data technologies to enhance financial empowerment for customers.
As a Lead Data Engineer, you will create and manage data models, implement data platform solutions, evaluate data access controls, and support a diverse team culture. The role requires extensive experience in ETL, data lifecycle management, and working with both relational and NoSQL databases.
Featured Jobs
As a Senior Data Engineer at GoodRx, you will design and develop data pipelines using cloud technologies, collaborate with teams to define data specifications, and ensure the integrity of data being processed. You will lead projects, enhance infrastructure, and architect solutions to meet business needs while promoting data standards.
As a Software Engineer on the Infrastructure team at Verkada, you'll build and maintain data infrastructure and pipelines, enabling data-driven decision-making. Your responsibilities include developing data ingestion and processing systems, ensuring data quality, and collaborating with engineering teams to design data products.
As a Lead Data Engineer at Capital One, you will design, develop, and support technical solutions while collaborating with Agile teams. Your role involves developing full-stack solutions, utilizing big data technologies, mentoring junior members, and delivering cloud-based applications that empower financial outcomes for customers.
The Sr. Data Engineer at GoodRx will collaborate with cross-functional teams to build and maintain data pipelines and warehouses. Responsibilities include designing ETL processes, ensuring data integrity, and leveraging cloud technologies to support business decisions. The role requires expertise in big data technologies and analytical skills to drive product enhancements.
The Data Engineer III at Chewy will be responsible for developing and optimizing data systems, managing data integration and SSOT tables, providing leadership and mentorship, deploying innovative solutions, and collaborating with strategic partners. They must have a Bachelor's or Master's degree in a related field, at least 5 years of data engineering experience, expertise in SQL and Python, and strong problem-solving skills.
The Data Architect will set data architecture standards for the Configuration Management Database (CMDB) within the ITSM platform, ensuring quality and usability of the data. Responsibilities include defining policies, participating in governance activities related to the CMDB and ServiceNow platform, and developing Data Engineering solutions to support critical business metrics and data flow architecture.
The Sr. Data Engineer at GoodRx will build and maintain data pipelines and warehouses, collaborating with cross-functional teams to ensure data accuracy and integrity, while utilizing various big data technologies and cloud services.
As a Lead Data Engineer, you will design and implement scalable data solutions, build and manage robust data pipelines, and ensure data integrity for stakeholders. You will collaborate with Agile teams, mentor peers, and drive innovation using big data technologies on cloud platforms.
The Senior Data Engineer will collaborate in Agile teams to design, develop, and support technical solutions using full-stack tools and technologies. Responsibilities include leveraging big data technologies, mentoring team members, and delivering cloud-based solutions for enhancing customer experiences.
As a Senior Lead Data Architect at JPMorgan Chase, you will focus on developing high-quality data architecture solutions, driving data architecture decisions, providing technical guidance, and actively engaging with the engineering community. The role emphasizes collaboration, technical leadership, and the use of modern data processing technologies.
As a Senior Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement technical solutions, leveraging languages such as Java and Python, and handling big data technologies. You'll work on cloud-based data warehousing services, mentoring others and creating impactful data solutions for customers.
Seeking talented data engineers to build foundational datasets and pipelines, accelerate decision-making processes, and partner with stakeholders to design and monitor pipelines. Must have 4+ years of experience as a data engineer and expertise in SQL, cloud platforms, and data modeling.
As a Senior Data Engineer in Identity Data Engineering, you will design and build data pipelines, working closely with business, analytics, and infrastructure teams. You'll handle extensive data systems, defining technical requirements, implementing ETL strategies, and ensuring data quality. Collaboration with various teams for task definition, estimation, and refinement is key to this role.
As a Sr. Data Engineer, you will collaborate with cross-functional teams to design and implement data pipelines and data warehousing solutions, ensuring data integrity and accessibility. Responsibilities include developing ETL jobs, managing data processing in AWS, and enhancing infrastructure for reliability and efficiency.
Seeking talented data engineers to build foundational datasets and pipelines for robust financial reporting. Partner with Finance, Monetization Engineering, Business Intelligence, and Data Science teams to support critical financial reporting and analysis needs. Design, build, and monitor scalable pipelines.
The Data Engineer will be responsible for expanding and optimizing data architecture, data pipeline, and data flow for cross-functional teams. They will drive data initiatives and ensure optimal data delivery architecture. This role involves data mapping, data modeling, and data consumption. The Data Engineer will work on complex data issues, support multiple teams, systems, and products, and optimize company's data architecture for future products and initiatives.
The Lead Data Engineer will expand and optimize data and pipeline architecture, ensuring optimal data delivery and addressing the data needs of multiple teams. Responsibilities include designing data transformations, supporting QA testing, and documenting work phases. The role requires engagement in the data initiative lifecycle, conducting data analysis, and performing process analysis on key source systems.
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