Top SQL Developer Jobs

The Big Data Engineer will lead the technical planning for data migration projects, design and implement scalable data pipelines using Azure Databricks, and ensure data quality and integrity. Responsibilities include working with cross-functional teams on data solutions across various functions and providing technical support during and after migration.

As a Senior Analytics Engineer, you will enhance the data infrastructure, ensuring high data quality and availability. You will manage data projects from ingestion to reporting and collaborate with business and engineering teams to design effective data models and processes.

CEC Entertainment is seeking a Senior Power BI Developer to join their team at the Corporate Support Center in Irving, TX. The developer will be responsible for turning raw data into actionable insights, collaborating with senior management and stakeholders, designing effective BI solutions, and advocating for best practices in Power BI and data analytics.

Seeking an experienced Senior Analytics Engineer to build and activate company-wide data assets using Snowflake. Responsibilities include data modeling, metrics development, and enabling self-service analytics solutions. Must have 5+ years of relevant industry experience and expertise in SQL, Python, and data engineering tools.

The Senior Data Engineer will enhance and improve the data platform services, designing scalable solutions and ensuring data quality and security. The role includes building self-service capabilities, developing data ingestion services, and monitoring system performance while participating in on-call support.

As a Software Engineer in the Database Engine team at Databricks, you will design and implement advanced database and storage systems. Responsibilities include query compilation, distributed query execution, and resource management focusing on performance optimization and customer impact.

Lead the replication administration team focusing on server software upgrades, licensing, and vulnerability remediation. Manage replication tasks, set up new endpoints, and oversee various database systems. Participate in strategic IT objectives, mentor staff, and ensure project success through effective communication and monitoring. Engage in hands-on coding and problem-solving while adhering to best practices in data governance and software development.

The Power BI Developer will design and develop reports and dashboards, translate business requirements into technical specifications, perform ETL processes, and collaborate with stakeholders to ensure data visualization needs are met. The role involves optimizing Power BI solutions and providing training to end-users.

The Senior Data Engineer will develop and optimize data pipelines, manage and analyze large datasets, and ensure data integrity. They will collaborate with cross-functional teams to provide insights and support data-driven decisions, leveraging cloud technologies and ETL processes.

As a Staff/Senior Staff Data Engineer at Valo Health, you will lead the development of complex data transformation initiatives, integrating real-world data into analysis-ready products, while collaborating with scientists and engineers. Responsibilities include building data pipelines, maintaining data quality, and providing technical leadership within the data engineering team.

We are looking for strong ETL Developers with experience in Wealth or Banking. The role requires expertise in ETL tools and the ability to work with specific technologies. Candidates should be local to the Bay Area and can work in either Fremont or San Francisco.

The Staff Observability Data Pipeline Engineer will design, implement, and manage data pipelines from various sources, optimizing data workflows for large-scale analytics. Responsibilities include monitoring and troubleshooting pipelines, using technologies like Vector.dev and Airflow, and collaborating with data teams. Mentorship of junior engineers is also expected.

The Data Engineer Manager at Freddie Mac oversees the design, implementation, and maintenance of data infrastructure, leading a team to develop scalable data processing systems. This role involves collaboration with data analysts, ensuring data governance, and managing projects while mentoring staff.

The Lead Data Engineer will design and implement scalable data pipelines on Google Cloud, ensuring data quality and automation. Responsibilities include mentoring junior engineers, leading security initiatives, and driving data governance best practices while overseeing a transformation to cloud-based solutions.

The Lead Data Engineer will design and grow products and data warehouses, manage large data transformations using cloud technologies, build and maintain streaming data pipelines, and mentor a team while collaborating with stakeholders for effective data solutions.

As a Data Engineer, you'll collaborate with Product Owners, Architects, and Developers to build, deploy, and maintain complex applications using microservices, Node.js, and Python in an AWS environment. You'll focus on ensuring high-quality software delivery through automation, testing, and continuous integration while mentoring team members.

The Big Data Engineer will lead the technical planning for data migration, design and implement data pipelines, ensure data quality, and support the team during migration phases while staying current with advancements in data engineering.