Top Data Engineer Jobs
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.
Featured Jobs
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.
The Sr. Data Engineer will be responsible for the architecture, design, development, and maintenance of analytical data streams. They will manage data pipelines, data warehousing, and business intelligence environments while collaborating with users to define requirements and enhance existing solutions.
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
The Senior Cloud Data Engineer will maintain a real-time data streaming platform using AWS services, design and implement data pipelines, manage cloud data targets, and craft SQL queries for data accuracy and efficiency. The role requires expertise in data engineering and cloud technologies to fulfill complex data needs.
The Sr Cloud Data Engineer will lead data integration efforts, create and maintain data management standards, develop data pipelines using AWS services, manage complex data models, and present data insights to both technical and non-technical stakeholders. They will ensure data quality and facilitate collaboration among various departments.
As a Data Engineer II, you will design, develop, and maintain data warehouses, manage SQL Server databases, and develop REST API services. You will work with T-SQL and various OLAP/OLTP data sources, optimize performance, and collaborate with teams to meet data requirements while ensuring compliance with business needs and HIPAA regulations.
The Data Engineer will architect, design, and implement advanced analytics capabilities, focusing on data integration, pipeline development, and reporting support. Key tasks include maintaining data synchronization with Oracle and Snowflake, optimizing data models, and using Airflow and Python for data processing.
As a Data Engineer on the Data Platform team, you will design and build data transformations, develop big data systems, and establish best engineering practices to support the company's core products and enhance data products for business teams.
As a Data Engineer Manager at PGIM, you will design and implement scalable data pipelines using Azure services, develop data models, optimize data retrieval, and ensure data integrity while collaborating with analysts and data scientists.
The Principal Data Engineer for Geospatial Platforms at AiDash will design, build, and optimize data pipelines and architectures for managing large-scale geospatial data. The role involves collaborating with data science teams, ensuring data quality, proposing big data solutions, and providing technical leadership to enhance data infrastructure.
The Senior Snowflake Data Engineer will design and implement data models, manage data quality, optimize data processes, and mentor offshore engineers. Responsibilities include building scalable data solutions, collaborating with stakeholders to deliver analytics products, and driving improvements in data management practices.
The Data Engineer will design, implement, and maintain data pipelines and data warehousing solutions. Responsibilities include extracting data from various sources, transforming it for usability, and loading it into Azure data storage solutions. The role also involves ensuring data quality, collaborating with stakeholders, and documenting processes.
The Data Engineer will design, develop, and maintain scalable data pipelines and ETL processes, collaborate with teams to meet data needs, optimize workflows, and troubleshoot issues. This role requires strong analytical and problem-solving skills while ensuring efficient data storage and compliance with governance practices.
The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.
As a Data Engineer at Aristotle, you will be responsible for developing data load processes, designing and implementing solutions using .NET/SSIS/SQL Server technologies, building web-based reporting systems, collaborating on data transformation rules, and optimizing ETL processes. You will work on enhancing system performance, creating documentation, and following industry-standard practices.
The Intermediate Data Engineer will enhance data warehousing and clean room architecture, collaborate to build data models, and develop features using agile methodologies while working with various teams on requirements.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
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