Top SQL Developer Jobs

The Data Engineer will be responsible for developing and deploying data pipelines for streaming and batch data from multiple sources. They will create data models, implement business logic, and work with a variety of technologies including Azure Databricks, Apache Spark, and data storage solutions. Excellent communication skills are required.

The Lead Data Engineer will design, implement, and maintain data pipelines using cloud technologies while providing technical leadership and innovative solutions to clients. They will partner with business stakeholders to analyze requirements and ensure data engineering solutions align with customer needs.

As a Senior Data Engineer, you will design, implement, and maintain scalable data infrastructure. Responsibilities include building data pipelines using Databricks, implementing DevOps tools for CI/CD, optimizing performance, ensuring data quality, collaborating with teams, and providing mentorship.

The Senior Data Engineer will develop and maintain ETL/ELT pipelines, analyze and model complex data, and collaborate across teams to optimize data solutions for performance and scalability. Responsibilities include working with technologies like SQL, Python, and AWS, and ensuring data privacy and security in architectures.

The Senior Data Engineer will lead the design and development of data infrastructure, ensuring scalable and trusted data pipelines. They will optimize data solutions, mentor junior engineers, and collaborate with teams to enhance data models, while driving data quality improvements and best practices.

The Senior Data Engineer will develop and maintain scalable ETL pipelines, troubleshoot issues, and work with external APIs and large datasets in cloud environments to improve data quality and accessibility. They will also mentor team members and enable data-informed decisions crucial for the company’s growth.

As a Data Engineer Consultant, the candidate will be responsible for designing and optimizing data infrastructure, creating scalable ETL processes, developing complex SQL queries, implementing dimensional models, and providing data visualization solutions. The role involves close collaboration with clients to ensure their data needs are met effectively.

As a Data Engineer, you will build and operationalize complex data solutions, design data management systems, and collaborate across teams. Your role will involve scripting in Python and SQL, utilizing cloud platforms like AWS, and assessing data sources for analytics. You will focus on supporting AI and business insights through data transformation and quality solutions.

The Data Engineer will design, develop, and maintain data pipelines and ETL processes, manage data storage solutions, collaborate with stakeholders for data requirements, optimize system performance, and mentor junior engineers. The role emphasizes data integrity and incorporates best practices for data governance within a fast-paced AI-driven environment.

The Database Engineer IV will manage critical database systems globally, providing support through the application life cycle and ensuring high availability and performance. Responsibilities include database installation, monitoring, optimization, and collaborating with IT and business units to enhance database tools and solutions.

The Senior Data Engineer will focus on integrating data across source systems to create a robust data environment for analytics and reporting. Responsibilities include ETL work, data warehouse implementation, pipeline creation in AWS, and supporting other data engineers.

As a Senior Data Engineer at Clear Capital, you will design and develop data movement applications using AWS services, build data pipelines, implement a data governance strategy, and collaborate with cross-functional teams in an Agile environment.

As a Database Engineer, you will assist in designing and developing database systems, optimizing performance, performing maintenance, troubleshooting issues, testing, bug fixing, and ensuring data integrity. You will also develop database functions and scripts while providing technical assistance regarding various database-related challenges.

The Associate Data Engineer at T-Mobile is responsible for building and maintaining data infrastructures, optimizing data delivery, and creating analytics tools. Key duties include managing data pipelines, addressing technical data issues, and working with teams to enhance data system functionality, aiming for improved business performance metrics.

As a Data Engineer at Demyst, you will build data-driven solutions for financial institutions, leveraging external data and innovative datasets through the company's proprietary software architecture and cloud infrastructure. Responsibilities include data analysis, ETL, API development, and collaborating with stakeholders to deliver insights that meet business objectives.

The Database Developer at NT Concepts will maintain customer databases, ensuring accessibility of information. Responsibilities include addressing customer queries related to Oracle database modules, requiring skills in SQL and PL/SQL, and reviewing procedures in Oracle as needed. The role demands problem-solving abilities and attention to detail to support the complex Military Housing system.

The Data Engineer will architect, implement, and maintain data infrastructure to ensure quality and consistency. Responsibilities include collaborating with business partners on data engineering requests, utilizing SQL and Python for data integration, and supporting BI platforms while adhering to data management best practices.