Top Data Engineer Jobs
The Sr. Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, mentor junior engineers, and collaborate with various teams to enhance customer experience through Nordstrom's analytical platform.
The Senior Data Engineer will design, implement, and maintain data architecture and pipelines, focusing on scalable data workflows and advanced analytics integration. Responsibilities include optimizing data workflows for performance, ensuring data quality, implementing data security measures, mentoring junior staff, and collaborating with cross-functional teams to meet business needs.
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.
As a Senior Data Engineer at Zencore, you will leverage Databricks to assist clients with data application modernization and cloud migration, driving transformation by acting as a trusted advisor on various topics including ETL, data modeling, security, and governance. You will develop production-ready Spark applications, utilize the Databricks tech stack, and implement data pipeline best practices.
The Staff Data Engineer will focus on big data engineering, data wrangling, and analysis, emphasizing building data pipelines and implementing IT solutions in the healthcare sector. Collaborating with data engineers, analysts, and scientists, the role involves creating scalable and efficient software architectures while utilizing modern tools like Databricks and AWS services.
The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.
The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.
Featured Jobs
The Lead Data Engineer at Pendulum will be responsible for developing and optimizing data infrastructure, building and maintaining ETL pipelines, managing data warehouses, ensuring data quality, collaborating with Data Science teams, and implementing monitoring solutions for data systems.
As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.
As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.
As a Sr. Data Engineer, you will design and build data pipelines for massive datasets, collaborate with data science teams, and construct supporting applications for data orchestration and monitoring.
Join a team of data engineers at Egen, a data engineering and cloud modernization firm, to build scalable data platforms and fault-tolerant pipelines using Python, SQL, Linux, Bash, and cloud services. Responsibilities include leading data engineering teams, designing data pipelines, consulting with teams, preparing documentation, and facilitating data migrations. Requires a Bachelor's degree in a related field, experience with EDA leveraging Kafka, data warehousing knowledge, and strong programming skills in SQL, Python, and Bash.
The Lead Data Engineer at Hanna Andersson is responsible for designing, developing, and managing data warehouses, ETL processes, and data pipelines to drive reporting and business intelligence initiatives. They oversee the data engineering team, collaborate with technical teams and stakeholders, and ensure world-class standards of data integrity and system performance.
As a Senior Data Engineer at Coinbase, you will build and maintain data pipelines, develop trusted data sources, create analytics products, and enhance data science productivity through automation. Your role involves enforcing best practices, ensuring data quality, and facilitating collaboration with cross-functional teams to support self-serve analytics.
As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.
As a Senior Data Engineer at CrowdStreet, you will build and influence the architecture of a new data platform, handle the full lifecycle of software development, and work with various teams to translate data needs into actionable initiatives. Responsibilities include optimizing data ingestion and modeling, maintaining data pipelines, and collaborating to enhance data operations.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
In this role, you will design and implement data pipelines, manage data integration on cloud platforms, ensure data accuracy, and maintain compliance with healthcare regulations. You will lead collaborations with clients and teams, optimize data processes, and mentor junior engineers while staying informed on industry trends.
The Senior Data Engineer will develop a cloud-based data transformation and workflow solution for the U.S. Army. Responsibilities include managing data pipelines, data security governance, and delivering high-quality software. The role entails communicating design decisions to different audiences and requires extensive collaboration across teams to solve complex problems.
As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.
As a Sr Data Engineer, you will design and develop scalable data solutions, mentor peers, and enhance data infrastructure. You'll collaborate across teams to implement best practices in data governance and manage complex workflows.
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
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.
As a Senior Data Engineer at Mozilla, you will focus on the Analytics Engineering team, designing and maintaining scalable data models and ETL pipelines, improving data infrastructure, and ensuring data quality and compliance. You'll collaborate with data scientists and other engineers to support data-driven decisions and improve access to data across the organization.
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