Top SQL Developer Jobs

Looking for a Senior Data Engineer to develop and manage Data Pipelines, work with various data platforms, and optimize big data solutions. Must have experience in Apache Spark, SQL, and data warehousing. Strong problem-solving skills and effective communication are required.

The Data Engineer will support the Chief Digital Artificial Intelligence Office's efforts in the DoD's integrated biosurveillance program by managing data repositories, automating processes, and collaborating with multiple teams to implement and optimize data solutions.

The Principal Data Engineer will lead technical projects within the Data Platform Engineering team, collaborating with cross-functional stakeholders to ensure data architecture aligns with business needs. Responsibilities include establishing data governance, driving technology innovation, overseeing data migrations, mentoring team members, and ensuring compliance with best practices in data management.

As a Data Engineer on the U.S. Data Strategy team, you will design and develop applications and database management solutions, focusing on ETL processes, SQL Server development, and data ingestion pipelines using Azure technologies. You will collaborate with stakeholders to transform business requirements into technical solutions, ensuring data quality and integration across systems.

The Data Engineer will work on developing and maintaining web scraping processes to collect large-scale text and image data, ensuring quality and usability. Responsibilities include collaborating with data scientists, optimizing data pipelines, and participating in research on data engineering and machine learning.

The Staff Data Engineer will lead the development of AI-driven data solutions, create real-time data pipelines, define architecture for Cloud Data Platform, and mentor staff on data engineering best practices, while collaborating with various teams to achieve enterprise data initiatives.

The Big Data Architect is responsible for re-architecting the Data Model and Access Platform using Big Data technologies. This role requires providing technical direction to create a scalable data platform that supports analytics for security-related datasets, leveraging extensive experience with data implementations and open-source projects.

The Senior Analytics Engineer will design and implement MarTech products, develop data pipelines, perform data transformations, and collaborate with stakeholders to drive data analytics innovation. Responsibilities include ensuring the quality and automation of data processes and mentoring junior team members.

FreeWheel is seeking a Data Engineer to build and evolve Audience & Identity data platforms, focusing on data integration, processing, and analysis using AWS services and big data tools. Responsibilities include resolving technical issues, optimizing business processes, and collaborating with data teams to create high-quality cloud-native data solutions.

As a Senior Data Engineer, you will design, develop, and maintain complex data pipelines, focusing on flexibility and developer experience. Responsibilities include collaborating with teams to enhance machine learning capabilities, ensuring data quality, and mentoring junior engineers while improving the system architecture and performance.

As a Data Engineer at Edmentum, you will design and develop scalable data pipelines and storage solutions to handle large-scale datasets. Collaborating with a tech team, you will create data architecture and maintain integration with various data sources to enhance analytics. This role focuses on improving educational technology through innovative data systems.

The Staff Data Engineer will design and maintain a robust Big Data platform, collaborating with cross-functional teams to create scalable data pipelines, support AI initiatives, and contribute to technical documentation and knowledge sharing.

In this role, you will be responsible for designing and implementing complex data pipelines, ETL processes, and data integrations. You must have strong skills in Snowflake, SQL Server, Python, and SQL. A minimum of 10 years of experience in data engineering is required, along with excellent problem-solving skills and the ability to troubleshoot and resolve complex data engineering challenges. You will work collaboratively in a team environment and should have strong communication skills.

The SSIS Developer will develop ETL processes to integrate back office systems with downstream systems, leveraging skills in ETL, SQL Server, and experience in financial applications like Murex.

As a Senior Data Engineer, you will lead the design, development, and optimization of complex data infrastructure and pipelines to deliver high-impact reporting, analytics, and machine learning solutions.

The Sr. Software Systems Engineer / DBA will support Contract Lifecycle Management for a Federal Government Agency by conducting Business Process Re-engineering, developing automated tools, and ensuring effective contract management processes. The role requires managing testing environments and working on LEAN analysis for process efficiencies.

As a Senior Data Engineer / Architect at Flip, you will develop data strategies, build and scale data systems, support data science initiatives, and optimize system performance. You'll drive digital transformation and work collaboratively across teams to implement innovative data solutions.