Top Data Engineer Jobs

The Senior Data Engineer will design, implement, and maintain backend data processing pipelines for the company's SaaS product. Responsibilities include leading complex projects, optimizing data pipelines, and providing mentorship. This role requires strong expertise in data engineering, Python programming, and cloud computing.

As a Senior Data Engineer at Clear Capital, you will design and develop data movement applications using AWS services, build data pipelines, implement a data governance strategy, and collaborate with cross-functional teams in an Agile environment.

Design, develop, and maintain scalable data pipelines using Spark, Hive, and Airflow. Develop API services and interactive data visualizations. Monitor and optimize data infrastructure performance. Implement data quality and validation jobs. Collaborate with DevOps engineers on CI/CD processes. Maintain data security and privacy.

The Senior Data Engineer will design and implement data products, collaborate with teams using Agile/Scrum, and develop high-volume data processing solutions. Responsibilities include optimizing existing solutions, analyzing data, managing data pipelines, automating processes, and ensuring quality across engineering practices while mentoring other engineers.

As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.

As a Senior Big Data Engineer at Nexxen, you will build and maintain scalable big-data solutions, oversee end-to-end feature development, and enhance the data infrastructure of the company while collaborating with various stakeholders.

The Senior Data Engineer at Appian will be responsible for building foundational datasets and pipelines across various business functions. They will collaborate with stakeholders to understand data needs, develop data pipelines, provide data architecture recommendations, and drive data governance standards. Preferred experience includes 7+ years in data/software engineering with expertise in ETL/ELT pipelines using cloud-based 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.

As a Senior Data Engineer, you will develop and enhance data infrastructures, improve data quality, and design systems for performance and reliability. You'll partner with product managers and data teams, build batch and streaming pipelines, and ensure effective data governance. You will also drive technical projects and optimize workflows.

As a Senior Data Engineer, you will design, develop, and maintain complex data pipelines, focusing on flexibility and developer experience. Responsibilities include collaborating with teams to enhance machine learning capabilities, ensuring data quality, and mentoring junior engineers while improving the system architecture and performance.

The Senior Data Engineer will work with a cross-functional team to enhance the AI self-service portal, build and support data platforms, and develop data pipelines. Responsibilities include collaborating with product owners, integrating best practices, and evaluating software options while applying AI, machine learning, and data analytics solutions.

Lead a team managing the AI self-service portal and microservices for Ex Parte. Collaborate with product owners to create solutions addressing complex client challenges. Build and maintain a distributed platform, enhancing data pipelines while documenting software options and best practices. Evaluate and troubleshoot code, ensuring quality and scalability.

Design, implement, test, deploy, monitor, and support new and existing modules of the Data Platform for a high-tech home security company. Collaborate with external companies, internal teams, analysts, and data scientists to analyze data and ensure home security. Embrace a hybrid work model with flexibility between office and home.

The Staff Data Engineer will lead the development of AI-driven data solutions, create real-time data pipelines, define architecture for Cloud Data Platform, and mentor staff on data engineering best practices, while collaborating with various teams to achieve enterprise data initiatives.

The Sr. Azure Data Engineer is responsible for leading the development of data-driven solutions while designing architecture and delivering projects. The role includes collaboration across teams, engaging clients, and implementing Advanced Analytics solutions using Microsoft Azure and Databricks. Extensive experience in data engineering and Microsoft technologies is essential.

The Cloud Data Engineer III will architect, develop, and implement cloud data solutions. Responsibilities include optimizing data pipelines, implementing ETL processes, and working with big data technologies on AWS. The role involves collaborating with software engineers and data scientists to maintain and enhance existing data systems.

The Lead Data Engineer will lead the development and implementation of data integration solutions. Responsibilities include managing a team, designing robust data pipelines, ensuring data quality, and optimizing workflows. This role involves collaboration with stakeholders and mentoring junior members in a fast-paced environment.