Top SQL Developer Jobs

As a Staff Data Engineer, you will design and build data models for Business and Studio, develop APIs, monitor data pipelines, and collaborate with business partners and developers to meet project requirements. You will utilize your expertise in different data modeling methodologies and technologies to deliver data products and insights across the organization.

Seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure. Responsibilities include developing data architectures, managing ETL processes, optimizing databases, ensuring data quality, and collaborating with stakeholders. The role also involves performance tuning, documentation, and implementing data security measures.

Seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering to shape data architecture and pipelines for a fast-paced, data-driven environment. Responsibilities include leading the design and implementation of innovative data solutions, collaborating with cross-functional teams, and working on industries such as Oil & Gas, Titles & Leases, or Financial Services.

The Lead Data Engineer is responsible for designing, building, and optimizing data orchestration and pipeline architecture. This role involves maintaining data engineering architecture, implementing ELT and ETL processes, and mentoring junior engineers while supporting data needs across multiple teams and products.

As a Lead Data Engineer at DICK'S Sporting Goods, you will design and manage data platforms, ensuring scalability and reliability. Responsibilities include automating CI/CD pipelines, maintaining enterprise data solutions, creating dashboards for monitoring, and driving technical strategies for cloud resources. Proficiency in coding/scripting and experience with cloud platforms and Infrastructure as Code is required.

Lead Data Engineer responsible for overseeing data integration, pipeline management, and automation tasks in a team focused on AI and ML fraud detection. Collaborates with data scientists, leads cross-functional teams, partners with software engineering teams, and mentors junior data engineers.

The Chief Data Engineer leads multiple software teams, shaping Raft's Data Platform, and making architectural decisions that address current and future needs. This role requires extensive experience in Data Engineering, leadership of engineering teams, and technical expertise in various programming languages and data tools.

As a Data Engineer at SpaceX, you will develop strategies, key metrics, tools, and software services to assess the scalability and effectiveness of the Starlink Network. Responsibilities include maintaining infrastructure, automating metrics aggregation, and collaborating with various teams to enhance data usability.

The Data Engineer will collaborate with researchers to translate trading strategies into data variables, develop scripts for data processing, ensure data accuracy, and optimize data retrieval processes. They will assist with integrating new data sources and provide technical support for data issues.

The Senior Data Developer will develop and maintain data solutions using Python and Azure Databricks, focusing on high-quality coding practices. Responsibilities include managing data infrastructure, cloud services, and troubleshooting within SCRUM/Kanban workflows while applying a DevOps mindset.

The Staff Data Engineer will lead and contribute to data engineering projects, analyze data trends, collaborate with teams to define data requirements, design data models, optimize data architectures, maintain data pipelines, and develop tools to improve data management processes.

The Wireless Data Engineer is responsible for designing and maintaining scalable data architectures for processing large-scale network data. They will develop data flows, ensure data quality, collaborate with teams to meet business objectives, and optimize data processing systems while staying updated on emerging technologies.

The ETL Developer will support extract, transform, and load processes for a large Compliance Data Warehouse, create and maintain SQL scripts and stored procedures, optimize database performance through schema design, and document processes while potentially mentoring other developers.

Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.

The Martech Data Engineer will design and develop data collection and ingestion solutions using Snowflake, EventHub, and Kafka, focusing on Adobe data solutions and integrations with various marketing platforms. Strong experience in data engineering within the MarTech domain is necessary.

Data Engineer with 5+ years of experience in data engineering, proficient in Snowflake, SQL Server, Python, and SQL. Must have experience in designing and implementing data pipelines, ETL processes, and data integrations.

The Senior Data Engineer will expand and optimize data pipeline architecture, build data pipelines for the machine learning platform, and develop integration architecture for various data sources, while collaborating with cross-functional teams.