Top SQL Developer Jobs

As a Senior Big Data Engineer at Nexxen, you will build and maintain scalable big-data solutions, oversee end-to-end feature development, and enhance the data infrastructure of the company while collaborating with various stakeholders.

The Senior Data Engineer will design, build, and maintain ETL pipelines to manage data operations efficiently. Responsibilities include ensuring secure data handling, leveraging cloud systems, and using tools such as SQL, Python, and Spark, while collaborating in an agile environment to meet business requirements.

The Data Developer will create a modern data platform, enhance data models, build scalable ETL pipelines, ensure data quality, and develop analytics tools in collaboration with various teams.

As a Data Engineer, you will prepare data for AI applications through ETL processes, ensuring data quality, cleansing, and compliance while developing data pipelines for model training and deployment.

As a Senior Data Integrations Engineer, you will be an expert on all integrations within the Enable platform. You will work with Customer Success Managers and our onboarding teams to configure data integrations in and out of Enable. You will be on hand to assist in customer data imports, exports, and technical queries becoming the go-to expert for our data ingestion and egress products.

As a Data Engineer at Brex, you will transform raw data into actionable insights, design and maintain data models and pipelines, collaborate with teams, and ensure data quality for analysis. You will also integrate data sources and establish standards across the organization.

As an Analytics Engineer, you will create and manage reliable datasets, establish new data sources, improve the data platform's performance, and collaborate with team members to support inclusive engineering practices. You'll also contribute to technical discussions and promote a positive team culture.

The Senior Data Engineer will develop production-ready data models, integrate multiple data sources, and collaborate with business and technical teams. Responsibilities include advocating for best practices, executing data strategies and architectures, managing data workflows, and improving data engineering capabilities while ensuring compliance and data quality.

The Senior Data Engineer designs and develops business applications as part of an Agile team, engages with stakeholders to gather requirements, and implements solutions using Azure technologies. They are responsible for data movement, dashboarding, and ensuring architecture aligns with best practices, mentoring team members, and conducting vendor evaluations.

The Senior Data Engineer collaborates with data scientists and analysts to design and implement data solutions, including building and optimizing data pipelines, performing data analysis, and mentoring junior engineers. They work with cloud operations to manage performance and cost, while staying updated with new data engineering technologies.

Senior Data Engineer at Penn Interactive (PI) working on event-driven distributed systems, streaming data pipelines, and collaborating with data science teams. Strong background in Java, distributed systems, and cloud platforms required.

The Oracle Software Engineer will be responsible for understanding and documenting requirements, design, development, testing, and defect resolution of software systems using Oracle databases, including administration and SQL performance tuning.

As a Snowflake Data Engineer, you will develop data infrastructure and pipelines, work with various data sources, and ensure effective data flow for analytical needs. You will collaborate with teams to improve operations through automation and contribute to strategic decision-making on analytics.

Seeking a highly skilled and motivated Data Engineer to design, develop, and maintain data infrastructure using Python, PySpark, ETL processes, and CI/CD. Responsible for data architecture, ETL development, Python and PySpark development, data integration, and streaming/batch workflows. Required qualifications include a degree in Computer Science or a related field, proven experience as a Data Engineer, strong programming skills in Python and expertise in PySpark, and familiarity with ETL tools and processes.

As a Senior Software Engineer in the Data Platform team, you'll architect, develop, and operate a scalable data platform, ensuring high-performance data processing infrastructure for machine learning operations, interface with data science teams, and implement data governance protocols.

As a Data Engineer, you will build and operationalize complex data solutions, design data processes, analyze data sources, ensure data governance and quality, and collaborate with teams to enhance data products and analytics. You will also troubleshoot and resolve data system issues and conduct testing on data transformations.

As a Senior Data Engineer, you will build and operationalize complex data solutions to support Artificial Intelligence and Machine Learning initiatives. Your role includes designing data strategies, ensuring data quality, and educating stakeholders on data products. You will also lead efforts to incorporate new data sources and modernize the analytics landscape at Travelers.