Top SQL Developer Jobs

As an Associate Staff Engineer in DBA SQL, you will utilize your technical knowledge to address client challenges and enhance your team's solutions, contributing to impactful product engineering.

The Data Architect is responsible for the design, development, and maintenance of data structures and repositories, integrating data from multiple sources, and ensuring data processes meet business needs. They will implement architectural standards, develop ETL workflows, and collaborate with cross-functional teams to solve data-related challenges while ensuring data quality and security.

The Principal Data Engineer will lead code development and manage data engineering solutions utilizing Python and SQL. Responsibilities include developing scalable applications on cloud platforms (AWS/GCP), maintaining databases, implementing search technologies, ensuring adherence to security practices, and training users while collaborating closely with cross-functional teams.

As a Data Architect, you will help build and deploy analytics solutions for healthcare providers, transforming raw data into actionable information and designing scalable data models. Your expertise in SQL and cloud technologies will guide customers through complex technology requirements, ensuring high-quality project deliverables.

Design, develop, and maintain scalable data platforms for deep learning and computer vision applications. Build and optimize data pipelines for large-scale data collection and processing, and ensure seamless model deployment. Collaborate with AI teams to create efficient infrastructures for training and evaluating models.

The BI ETL Developer III designs, develops, and supports BI solutions, transforming data for business use. Responsibilities include creating data integration jobs, producing reports, troubleshooting issues, and collaborating with various teams to meet business objectives.

The Data Engineer at CapTech is responsible for building advanced data systems, developing data pipelines, and enabling efficient data processing using AWS, Azure, or GCP. They collaborate with clients and team members to maximize data value and provide strategic technological advice while focusing on engineering best practices to solve complex data problems.

The Sr Talend Data Engineer will develop complex Talend data pipelines, perform data reconciliation and unit testing using SQL, and interact with AWS services, specifically reading data from S3 and writing to Redshift.

Design, develop, and maintain scalable data pipelines using Spark, Hive, and Airflow. Develop API services and interactive data visualizations. Monitor and optimize data infrastructure performance. Implement data quality and validation jobs. Collaborate with DevOps engineers on CI/CD processes. Maintain data security and privacy.

As a Senior Analytics Engineer, you will develop data models, implement data governance, monitor ETL pipelines, and collaborate across functions to support Go-To-Market initiatives. You'll manage large databases, ensure data integrity, and provide insights for strategic decision-making, contributing to continuous improvement in processes.

As a Data Engineer, you will modernize and maintain backend manufacturing data architecture, develop ETL pipelines, manage databases, and ensure data integrity while collaborating with teams to deliver insights and efficiencies.

Lead Database Engineer role at Trusted Concepts division of Two Six Technologies, responsible for designing, implementing, and testing complex data infrastructure. Requires collaboration with various teams and ensuring high-quality solutions. Key responsibilities include network architecture design, continuous improvement recommendations, and technical documentation updates.

The Database Developer (GIS) will design and develop enterprise-wide database systems with a focus on GIS Enterprise Geodatabases for the City of Chicago. Responsibilities include ensuring data quality, providing support to the GIS team, monitoring database performance, and participating in all development life cycle stages.

As a Principal Engineer on the Data Platform team at Nextdoor, you will drive product development, machine learning, data science, and provide world-class data infrastructure and tools. Responsibilities include envisioning and building a scalable data platform, participating in all phases of the software development lifecycle, and developing partnerships with key stakeholders. Requires 7-10 years of experience in data infrastructure at petabyte scale, knowledge of SQL, Spark, computer science fundamentals, software engineering, data science, machine learning, cloud technologies, and strong communication skills.

As a Sr. Data Engineer, you will develop data infrastructure and pipelines, ensuring data is organized, centralized, and readily accessible. You'll support database planning, analyze new data sources, maintain data structures, and deliver user interfaces for further analysis.

The Lead Data Engineer will design, implement, and maintain advanced data pipelines, leveraging cloud technologies to provide solutions that meet client needs. They will collaborate with product owners and ensure technical alignment across teams while mentoring junior engineers and staying updated on industry trends.

The Staff Data Platform Engineer role involves collaborating with customers to evaluate needs and provide architectural guidance, designing scalable data solutions, and integrating DevOps practices to enhance service adoption. This role requires hands-on problem-solving and driving technical initiatives to improve user experience.