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Top Senior Level Data Engineer Jobs in Washington DC,
As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve data technologies including ETL processes and data pipelines. Your role will involve working with AWS and tools like Airflow and PySpark to create automated data solutions, develop data products, and ensure data quality and governance.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
The Staff Data Engineer at Wellth will design scalable data systems to process healthcare data, enabling advanced analytics and predictive modeling. They will lead the development of data pipelines, manage data sources, enhance data quality, and collaborate with various teams to align data strategies with business objectives.
The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.
As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.
The Data Architect will design and implement cloud solutions focusing on data collection, ETL processes, and analytical reporting. This role involves supporting data architecture development, migration activities, technical communications with stakeholders, and leading technology evaluations within a dynamic agile team working with the Department of Transportation.
The Head of Analytics at Peerspace will lead the analytics team, develop data strategies, and drive decision-making through data insights. Responsibilities include optimizing analytics infrastructure, establishing reporting frameworks, and collaborating with cross-functional teams to enhance marketplace efficiency.
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