Top SQL Developer Jobs

As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.

Design, build, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data. Collaborate with cross-functional teams to understand data requirements and implement solutions to address business needs. Stay abreast of emerging technologies and best practices in data engineering. 5+ years experience as a Software Engineer with a focus on building data pipelines and infrastructure using Python and relevant libraries.

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.

The Senior BI Developer will design data models, build visualizations for decision-making in mortgage operations, lead projects, and mentor team members. Responsibilities include collaborating with teams, developing KPIs, ensuring data governance, and implementing 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 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.

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.

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 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.

As a Data Engineer, you will design and maintain scalable data pipelines using Java and Spark, optimize SQL queries, and implement solutions with Snowflake. You'll collaborate with teams to understand data requirements and ensure efficient data processes, and may develop visualizations with Tableau.

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.

As a Data Engineer on the Proprietary Research team, you will design and build solutions for extracting insights from complex data sets, develop big data processing pipelines, and support visualization capabilities. Collaborating with investment professionals and data scientists, you'll leverage cloud technologies and handle both structured and unstructured data to create valuable research tools.

The Senior Cloud Engineer will optimize GridMatrix's data pipeline and cloud infrastructure, manage customer deployments, architect solutions for cost and performance, and build machine learning and analytics pipelines while measuring feature impact.

The Data Engineer will develop and maintain Addgene's data and bioinformatics pipelines, supporting analytics and AI capabilities. Responsibilities include improving data access, curating data reports, and enhancing existing workflows, all while collaborating with various teams to achieve data solutions.