Top Data Engineer Jobs

Seeking a highly skilled and motivated Data Engineer to design, develop, and maintain data infrastructure using Python, PySpark, ETL processes, and CI/CD. Responsible for data architecture, ETL development, Python and PySpark development, data integration, and streaming/batch workflows. Required qualifications include a degree in Computer Science or a related field, proven experience as a Data Engineer, strong programming skills in Python and expertise in PySpark, and familiarity with ETL tools and processes.

As a Data Engineer at Datavant, you will create and maintain ETL processes, collaborate with development teams to define data flows, and ensure the quality of data models. You will document data architecture, audit data quality, and identify inefficiencies in current processes. Your role involves participating in agile projects and producing documentation to support development.

Join Glass Health as a Founding AI/Data Engineer and play a key role in designing and building platforms, developing user-facing generative AI features, and collaborating with cross-functional teams. You will ensure reliability, security, and performance in a startup environment focused on advancing healthcare technology.

The Sr MDM Data Engineer is responsible for building high-quality data pipelines and data repositories to support downstream analytics and reporting. They work with business, IT, and analytics teams to design optimized solutions and leverage best practices for timely, reliable, and scalable data products.

The Data Engineer II will develop and maintain data pipelines, implement ELT processes, and ensure data quality. The role involves collaboration with various teams to design data products and optimize queries for performance while modernizing the data pipeline platform.

As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.

The Data Engineer will focus on building and optimizing the data architecture for products, including migrating databases to big data systems, enhancing automation, and building a data streaming platform. Responsibilities include managing data migration, defining event feeds for real-time analytics, and providing mentorship to team members in a collaborative environment.

As a Data Engineer at Qarik, you will design and implement production-quality ETL pipelines, manage data lakes, and create insightful reports and dashboards. Your role involves collaborating with clients to understand their data objectives and employing tools like Databricks and Python for effective data strategies. You will also communicate technical concepts to diverse audiences and ensure optimal performance in data processing.

As a Data Engineer II, you will collaborate with data scientists to build data pipelines, manage data marts, and support predictive modeling. Your role involves ensuring data quality, developing architectures for data extraction, and presenting findings to stakeholders.

As a Lead Data Engineer at Capital One, you will design, develop, test, and support technical solutions while collaborating with Agile teams. Responsibilities include utilizing programming languages and cloud-based services, mentoring team members, and ensuring code quality through reviews and testing.

The Principal Data Engineer will lead the development of data solutions, focusing on a digital email assistant tool while collaborating with teams to enhance customer engagement. Responsibilities include using ETL tools, optimizing data processes, and applying strategic thinking to solve technical challenges.

As a Principal Data Engineer, you will design, develop, and maintain large scale ETL processes and Graph Data platforms, while influencing architectural choices and providing technical guidance. You will work with large data sets to derive actionable insights and collaborate with leadership in an Agile environment on AWS.

The Data Engineer will integrate new data sources with Azure Fabric's existing data Lakehouse, curate data using Python or SparkSQL, and develop Power BI dashboards. Responsibilities include creating DAX calculations, ensuring data security, training end users, and supporting technical documentation.

The Mediation Data Engineer will design and maintain data processing systems for billing and analytics, focusing on creating mediation pipelines to process large transaction volumes, ensuring accuracy and compliance. Responsibilities include developing ETL processes, real-time event processing, data transformation, and collaborating with various teams to align data flows with business needs.

The Data Engineer will develop database designs and architecture in an Azure environment, contribute to technical designs, secure data migrations and transformations, conduct data profiling and cataloging, and migrate ETL and SSIS packages to Azure Synapse.

As a Backend/Data Engineer, you will develop backend data tools and services, work with the Data Analytics team on technical implementations, review code, and architect cloud infrastructure on AWS while integrating APIs from platforms like Discord and Spotify.

As a Senior Data Engineer, you will design and maintain data pipelines for tax computation and reporting, ensuring data accuracy while collaborating with various teams to understand their data needs. You will also develop expertise in payroll taxation and assist in managing data infrastructure.