Top SQL Developer Jobs
As a Data Engineer, you will design and implement database solutions, build robust data pipelines for AI model training, and monitor system performance. The role involves working with various databases and cloud services to ensure data quality and reliability.
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 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.
As a Principal Engineer on the Data Platform team, you'll architect and build a scalable data platform, driving the development of products while engaging in the software development lifecycle. You'll collaborate with stakeholders, oversee data governance, and ensure data infrastructure is efficient and cost-effective in a fast-paced environment.
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.
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.
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.
Featured Jobs
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.
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.
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.
As a Data Engineer at Dashlane, you will design and maintain data pipelines and infrastructure, utilizing AWS and open-source tools. You will collaborate with various stakeholders to ensure data integrity, create scalable solutions for data processing, and leverage advanced technologies to extract insights from data to assist in decision-making.
As a Senior Data Engineer, you will design and build scalable distributed systems, collaborate cross-functionally, lead design sessions and code reviews, support reusable application components, and build reporting platforms. You will also mentor others, share best practices, and improve processes within the team.
Senior Data Engineer responsible for designing and building a company-wide data infrastructure. Must have 8+ years of experience in data engineering, expertise in Snowflake Cloud Data Platform, cloud platforms like GCP and Microsoft, and advanced skills in SQL and Python.
As a Senior Database Engineer at GliaCell, you will support a U.S. Government project focusing on modernizing IT systems, documenting existing workflows, and migrating data from legacy systems. Your role includes optimizing platforms based on user needs and collaborating with various stakeholders.
The Staff Data Platform Engineer will build fault-tolerant infrastructure for Generative AI applications, design and deploy data pipelines, enforce engineering best practices, and collaborate across teams to support data science initiatives and enhance Generative AI capabilities.
The Senior Data Engineer will enhance May Mobility's data infrastructure by building data pipelines, creating automated metric systems, and developing UIs and APIs for data access. The role focuses on providing efficient data management solutions that support the overall operations and decision-making within the company.
As a Lead Data Engineer, you will design and maintain advanced data pipelines using cloud technologies, analyze and implement data solutions, provide technical leadership, and stay updated with cloud methodologies. You will work collaboratively with clients to create sustainable data practices.
The Data Platform Engineer will join the Digital Experiences team to deliver cloud-native Big Data solutions, collaborating with engineers, product managers, and designers. Responsibilities include developing tools for data management, building high-performance solutions, writing efficient code, and contributing to the overall engineering efforts within a multi-disciplinary team following Agile and DevOps practices.
The Principal Database Engineer will provide technical expertise to sustain critical government mission-related software and systems, focusing on Oracle database administration and ETL operations, while applying industry-standard software stacks within Agile methodologies.
As a Data Engineer, you will develop and support a cloud data lake platform, working on ETL applications using Python and Spark, collaborating with project stakeholders, designing software applications, and providing technical leadership. You will also cover on-call responsibilities periodically and engage in training staff on developed software.
As a Data Ops Engineer, you will support project teams by managing and monitoring database and cloud environments, provide user access while ensuring security, and participate in an on-call rotation. You will have diverse database development responsibilities with a focus on Python or C# and related technologies.
The Software Developer will be responsible for developing, designing, and deploying database architectures, integration jobs using SQL Server and Access, and maintaining programming code. The role involves implementing requirements using various software solutions and ensuring quality control through technical and process documentation.
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