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Top Data Engineer Jobs
As a Senior Data Engineer at Natera, you will work on high-impact projects, collaborating with software engineers and product managers to develop and improve data integration and storage platforms for genomic applications using AWS and various database technologies. Your role involves design, implementation, development of applications, and mentoring other engineers.
The Sr. Data Engineer will design and build data pipelines for massive datasets, collaborating with data science and engineering teams. Responsibilities include constructing pipelines for integrating millions of entities, running ML models, and developing data services to support Windfall's core data asset.
The Lead Data Engineer is responsible for designing and building solutions for banking data management. Key duties include collaborating with teams to develop data solutions, maintaining data platforms, and mentoring team members, while ensuring high-quality standards and regulatory compliance.
As a Senior Data Engineer at Lynx, you'll develop and implement robust scalable data solutions, create complex ETLs, and collaborate with multiple teams to drive the data platform, transforming patient care through effective data utilization.
The Software Engineer will develop, maintain, and enhance complex software systems while participating in design reviews, testing, and problem resolution. Responsibilities include supporting teams like API, DevOps, Customer Support, UI, and Data Management using various programming skills and methodologies.
The Senior Data Engineer will design and implement data solutions for Digital Marketing Analytics, focusing on data integration and reporting. Responsibilities include developing data models, managing ELT processes with dbt, ensuring data quality, mentoring teammates, and resolving operational issues.
Join the Data Platform Team at Altruist as a Senior Data Engineer to develop and maintain scalable data pipelines, build data integrations, collaborate with teams on data models, perform data analysis, manage data tools, and provide support for product teams. Requires 5+ years of experience in data lakes and data warehouses, familiarity with object-oriented programming languages, and expertise with various data tools and technologies. Degree in Computer Science or equivalent experience is required.
The Senior Data Engineer will design and build infrastructure for data ingestion, transformation, and loading, utilizing technologies like Spark, SQL, and AWS. They will develop CI/CD pipelines, anomaly detection systems, and collaborate with teams to resolve data-related technical issues, all while managing a growing volume of diverse data.
Featured Jobs
The Senior Battery Data Engineer at Fluence is responsible for developing and optimizing data pipelines for battery performance data, integrating data from various sources, and providing technical leadership. They collaborate with teams to support data-driven decisions and monitor system performance.
As a Senior Data Engineer, you will build and optimize data architectures for real-time analytics and reporting, focusing on event streaming and data warehousing. You will enhance automation processes and ensure data security, performance, and reliability while mentoring team members and managing projects within a collaborative environment.
As a Senior Data Engineer, you will collaborate with clients to identify their data needs and propose solutions. Your responsibilities will include developing data systems, performing statistical analyses, preparing reports, and creating data visualizations. Utilizing strong programming skills, you will apply advanced methodologies to analyze complex datasets and improve operational performance.
As a Senior Data Engineer, you will design and maintain data infrastructure, optimize data pipelines, and collaborate with teams to enhance data visualization and reliability. You will ensure accurate data processing, leverage business acumen for data mart development, and apply site reliability engineering practices.
The Senior Data Engineer will develop and maintain the data infrastructure and Business Intelligence systems using Snowflake. Responsibilities include optimizing data pipelines, creating SQL queries, and developing automated reports and dashboards, while collaborating with various stakeholders to ensure data integrity and scalability.
As a Lead Data Engineer, you will construct data pipelines for ingested data, collaborate with data science for ML models, and build applications to monitor data systems, ensuring robust data asset management at Windfall.
The Lead Data Engineer will develop and optimize data pipelines and systems, collaborate with cross-functional teams, ensure data quality, and mentor other engineers. This role involves leveraging tools like Talend and SQL on platforms such as Google Cloud and Snowflake, implementing best practices in data governance, and utilizing Agile methodologies for project delivery.
The Senior Data Engineer will design and implement data pipelines and architectures, develop scalable data workflows, ensure data quality, mentor junior team members, and collaborate with stakeholders for robust data processing solutions within the healthcare domain.
As a Data Engineering Consultant at CompassX, you will help clients tackle complex data engineering and analytics challenges by designing, developing, and implementing technical data solutions. You will work on data modelling, ETL, and reporting while leveraging your expertise in enterprise-level architectures and cloud solutions to deliver effective outcomes.
The Senior Data Engineer will design, develop, and maintain data pipelines, storage solutions, and ensure data quality. Collaborating with cross-functional teams, the engineer will optimize data systems and enforce data governance policies while staying updated on emerging technologies.
The Analytics Engineer at MERU will own individual workstreams, engaging with stakeholders to gather requirements and deliver high-quality code. They will mentor junior team members, proactively address issues, and contribute to proposal development while ensuring effective communication with both technical and non-technical audiences.
The Senior Data Engineer at GoodLeap will implement data integrations, participate in project design, uphold data quality, provide mentorship, and collaborate on data architecture. The role requires creating intuitive customer experiences through solid technical skills in data analysis and development.
The Sr. Data & Analytics Platform Engineer will design, implement, and maintain secure data platforms, focusing on automation, compliance, and cost-efficiency. Responsibilities include managing role-based access in Snowflake, establishing DevOps practices, driving self-service capabilities, and collaborating on analytics solutions, while ensuring adherence to cybersecurity standards.
The Senior Data Engineer will manage the ingestion, validation, transformation, and storage of healthcare data. Responsibilities include designing scalable data pipelines using Databricks and PostgreSQL in AWS, maintaining data quality standards, optimizing performance, and mentoring team members while collaborating across departments to meet data needs.
As a Senior Research Engineer, you will design and optimize large-scale machine learning data pipelines, collaborate with researchers on data preprocessing for robot training, develop tools for data labeling, and ensure data quality. You will implement PyTorch data loading modules for video processing on large GPU clusters.
The ADAS Sensor Data Software Engineer will manage and synchronize various sensor data for advanced driver-assistance systems. Responsibilities include developing software tools for processing sensor data from camera, LiDAR, and radar systems, collaborating on ADAS feature integration, and optimizing data pipelines while ensuring safety standards are met.
As an ADAS Sensor Data Software Engineer, you will manage and synchronize data from various sensors, developing software tools and algorithms for processing this data while ensuring accuracy for ADAS features. Collaborating with teams, you will optimize data handling on Linux, contributing to the development of advanced driver-assistance systems.
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