Top Tech Jobs & Startup Jobs
The Associate Principal Engineer (Data Engineer) will focus on data integration and warehousing, translate client requirements into technical designs, and oversee architecture and design practices while ensuring adherence to best practices. The role involves problem-solving, POCs development, and collaboration with development teams in an Agile environment.
As a Senior Data Engineer, you will improve Grubhub's big data and machine learning pipelines, delivering data products while collaborating with data scientists and analysts. Responsibilities include managing high-volume data processing using Spark and AWS technologies, maintaining technical documentation, and applying data engineering best practices.
As a Senior Data Engineer II - Technical Lead at Zoro, you will lead projects, design and build cloud-native data pipelines, mentor junior engineers, and drive initiatives for data warehousing, AI, and ML. You will ensure data integrity through integration and governance practices, aligning the engineering efforts with the company's strategic vision.
Collaborate with Agile teams, design and develop technical solutions using full-stack development tools and technologies, work with machine learning and microservices, stay updated on tech trends, mentor team members, and deliver cloud-based solutions for financial empowerment. Conduct unit tests and code reviews for performance optimization.
This role involves managing and synchronizing sensor data from camera, LiDAR, and radar systems for advanced driver-assistance systems (ADAS). Responsibilities include collecting, processing, and analyzing sensor data, developing software tools in C++ and Python, collaborating with teams to integrate data into ADAS, and ensuring performance and reliability on Linux systems.
The Data Engineer will modernize and maintain the data technology infrastructure, focusing on ETL tasks, data modeling, and building data pipelines. Responsibilities include developing database architecture, designing secure data pipelines, troubleshooting performance, ensuring data governance, and collaborating with the analytics team to enhance data products.
As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to develop technical solutions in a full-stack development environment, leverage machine learning and distributed microservices, and implement cloud-based data solutions while mentoring other engineers.
Lead the design, development, and deployment of large-scale data systems. Build and maintain data pipelines, ensure data quality, and collaborate with teams for data-driven insights. Optimize ETL processes and troubleshoot data inconsistencies while recommending data integration solutions.
Featured Jobs
The Senior Staff Engineer - Data Engineer will develop and optimize data pipelines using Snowflake on Azure, implement data models, design data products like SQL pipelines and dashboards, and collaborate with business teams to understand their data needs, all while ensuring performance and scalability.
The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.
The Senior Staff Engineer will focus on data integration and warehousing, delivering solutions that meet client requirements. Responsibilities include translating business needs into technical designs, guiding developers, ensuring implementation best practices, and resolving technical issues. Involvement in architecture reviews and creating proofs of concept is also essential.
As an Associate Principal Engineer, you will design and implement data migration and integration solutions, focusing on AWS DMS and Collibra. Your role includes understanding client requirements, providing technical direction, and ensuring adherence to best practices in data architecture and governance.
Seeking an Associate Principal Engineer with over 10 years of experience in delivering data engineering projects with Python. Strong proficiency in Python for data analysis and scripting, hands-on experience in AWS technologies, and expertise in ETL, data warehousing, and business intelligence.
The Sr. Data Engineer will join the Data Activation team to ensure high-quality delivery of data solutions. Responsibilities include designing data models, developing ETL processes, utilizing big data technologies like Spark and Snowflake, and automating tasks. The engineer will engage with stakeholders, conduct code reviews, and support the go-live process while fixing bugs and addressing issues post-launch.
As a Principal Full Stack Engineer, you will architect and build ad verification and fraud solutions, lead the software lifecycle, mentor junior engineers, and collaborate with the product team to enhance ad analytics products. Your role includes ensuring best engineering practices and managing multiple priorities in a scalable environment.
As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.
The Data Engineer at ICF Next will collaborate with data scientists and stakeholders to ensure data availability and integrity. Key duties include monitoring data systems, optimizing database performance, translating business use cases to solution architecture, and implementing best practices for data management and governance.
The Data Engineer will collaborate with various teams to implement and manage data engineering solutions using GCP technologies, develop automation methods for data pipelines, and maintain data quality. The role also involves testing and evaluating competing solutions, providing deep technical expertise, and delivering scalable data platforms.
The Senior Data Engineer will focus on building and maintaining data platforms, developing efficient data pipelines, and architecting resilient distributed systems. Responsibilities include collaborating with teams to enhance user experience and ensuring data quality while supporting analytics and reporting needs.
The Data Engineer at Cornell University will develop and support data solutions for data analytics, data warehousing, and data lake ecosystems. Responsibilities include collaborating with customers, supporting data feeds and transformations, documentation, migrating ETL code, and participating in on-call support.
As a Data Engineer at Testlio, you will develop data models, create and maintain data pipelines, automate data integration processes, and implement data mart systems. You will work closely with the Business Operations team to enhance the organization's data accessibility and reporting capabilities.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
As a Senior Data Engineer, you will enhance data integration pipelines and maintain data quality within data lakes and warehouses. Collaborating with team members and stakeholders, you'll optimize data transformations and ensure the efficiency of systems. You'll also participate in code reviews and uphold coding standards while ensuring infrastructure security and data integrity.
As a Senior Data Engineer at Capital One, you'll work collaboratively within Agile teams to develop and support technical solutions. You will utilize programming languages and cloud-based services to solve complex problems, drive transformation, and mentor peers while maintaining high coding standards and performance.
As a Lead Data Engineer at Klaviyo, you will own the data automation framework, optimize infrastructure for analytics, coach engineers, and drive technical vision. You will address technical challenges and ensure the system supports business needs for over 50,000 customers.
Top Companies Hiring
See All
All Filters
No Results
No Results
