Top Data Engineer Jobs
Exciting opportunity as a Data Engineer at 0x, a remote-first and fully distributed company revolutionizing decentralized exchange. Responsible for maintaining and upgrading technology to extract and process blockchain data. Collaborate with Data Scientists, Product Managers, and Engineers to drive product decisions and company strategy.
Design and build data pipelines to support machine learning systems, develop ETL processes, maintain high-quality data pipelines, design data models, collaborate with stakeholders, and ensure data compliance with regulations.
The Senior Data Engineer will support the Department of Defense by optimizing large-scale data pipelines and cloud infrastructure. Responsibilities include automating data transfers, maintaining security and health of data systems, and collaborating with functional groups to address client challenges and enhance data accessibility and analytics capabilities.
As a Senior Data Engineer at Fox Corporation, you will lead the creation and implementation of data pipelines and platforms that provide insights for the business. Responsibilities include aligning engineering roadmaps with cross-functional teams, ensuring data quality, and developing data products and tools to enhance analytics capabilities across the organization.
The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.
The Big Data Azure Engineer will architect, design, and implement advanced analytics capabilities, including batch and streaming analytics, machine learning models, and natural language generation, utilizing Azure and modern Big Data technologies.
As a Senior Data Engineer, you will design, build, and maintain data pipelines and infrastructure while collaborating with data scientists and analysts to facilitate data-driven decision making. You will apply your expertise in data engineering principles and the pharmaceutical/life sciences domain to enhance data integration and warehousing processes.
The Big Data Engineer will develop large-scale data systems, focusing on architecting and optimizing data pipelines. Responsibilities include providing technical leadership, analyzing project scopes, documenting designs, and enhancing data infrastructure with innovative technologies.
Featured Jobs
As a Senior Data Engineer at Synack, you will maintain and extend the data warehouse, develop ETL pipelines, build event streaming solutions, and support existing production products. You'll collaborate with engineers and product managers to drive actionable insights through innovative data analytics and contribute to data modeling for dashboards.
Seeking a Senior Data Engineer with extensive experience in Databricks on AWS or Azure to design, build, and maintain scalable data architectures, ensure data integrity, and optimize data flow and collection. Responsibilities include developing ETL processes, ensuring data quality and security, and leading data governance implementation. Required skills include proficiency in Databricks, AWS services, Unity Catalog, SQL, and big data technologies, along with strong communication and problem-solving skills.
As a Staff Data Engineer, you will implement enterprise data strategies, create scalable data solutions, and design efficient data pipelines. You will optimize data quality, ensure governance, collaborate with cybersecurity and architecture teams, and advance AI and ML capabilities while mentoring data engineering teams.
As a Senior Data Engineer, you'll lead end-to-end data solutions, partnering with architects to develop cloud-based data architectures. You will drive delivery of data products, ensure data engineering best practices, and engage with teams on complex implementations using technologies like AWS and Snowflake.
Hiring a Senior Data Engineer to build data architectures, migrate to a streaming and big data architecture, and enhance platform automation. Responsibilities include building data warehouse, event stream platform, and managing projects in dynamic environment. Requires Bachelor's/Master's in Computer Science, 5+ years of data pipeline building experience, Scala fluency, and knowledge of Apache Spark and streaming technologies.
The Staff Data Engineer leads the technical development for The Movement Cooperative, architecting data pipelines, implementing software development best practices, and mentoring the engineering team. Responsibilities include designing systems, maintaining the data warehouse, and ensuring code quality and security, while collaborating closely with team members and external partners.
The Sr. Data Engineer at T-Mobile will design and develop data architectures across various platforms, mentor team members, optimize data storage systems, lead data quality assurance, and ensure compliance with data security regulations while managing complex data workflows and architecture improvements.
As a Senior Data Engineer, you'll collaborate closely with the Data Science team to leverage claims data for predictive modeling. Responsibilities include building and optimizing data pipelines, ensuring data health, and working independently to resolve complex issues. You'll also assist application developers with data extraction for machine learning models and identify reporting improvements.
The Senior Big Data Engineer is responsible for development and implementation of systems in a Risk and Finance team. The role involves conducting feasibility studies, managing development processes, providing user support, and ensuring compliance with standards. The candidate will work on data consolidation and implement advanced programming solutions while mentoring junior analysts.
As a Senior Data Engineer, you'll design and develop efficient ETL pipelines, ensure data security, create data models, and manage data flow using AWS services while collaborating with analysts and scientists to meet data requirements.
Collaborate with customers to understand data needs, develop and implement data systems, perform statistical analysis, and provide data visualizations. Requires Top Secret Clearance, Bachelor's degree in Computer Science, and 10 years of experience in AI, statistics, and data modeling.
As a Senior Data Engineer, you will design and implement solutions for data sharing and processing. You will improve data pipelines, ensure performance and monitoring, and develop self-service analytics capabilities while implementing best practices for data governance and security.
Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.
The Senior Data Engineer/Tech Lead at The Hartford will be responsible for engineering and operationalizing a next-generation analytics solution suite using Oracle PL/SQL, Cloud (AWS), and Big Data Technologies. This role will involve creating, troubleshooting, and enhancing complex ETL processes, leading cloud environment operations, and providing technical consulting and leadership on data integration and distributed data systems.
As a Senior Data Engineer in the Global E-Commerce team, you will design and build data transformations, implement big data systems, and establish best engineering practices to enhance the data platform impacting core products and users.
As a Lead Data Engineer at Likewize, you will design and maintain a data platform that enables data-driven decision-making across the organization. Your responsibilities include leading data strategy, developing data pipelines, overseeing system performance, and collaborating with cross-functional teams to deliver actionable insights.
The Senior Data Engineer at TCGplayer will work with the Data Engineering team to enhance the organization's use of datastore technologies. Responsibilities include guiding datastore technology selection, optimizing database design, writing code for data management, supporting data flow strategies, troubleshooting and improving database designs, and providing leadership on datastore-related projects.
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