Top Senior Level Data Engineer Jobs in Washington DC,

The Data Engineer will design, develop, test, and deploy scalable data architecture solutions, handle complex queries for data extraction, and support data collection platforms while collaborating with stakeholders to meet business needs.

As a Senior Database Administrator at the Wikimedia Foundation, you will manage database systems, focusing on troubleshooting, optimization, and maintenance tasks in a fast-paced environment. You will implement and monitor relational database systems, upgrade versions, and contribute to the overall performance and reliability of high-traffic websites used globally.

The Lead Data Engineer will design and implement cloud data lakes and large-scale data architectures. Responsibilities include collaboration with AI/ML teams, establishing data governance, and mentoring junior engineers. This role requires expertise in big data technologies, tabular data formats such as Apache Iceberg and Parquet, and proficiency in cloud platforms like AWS, Azure, or GCP.

As a Data Architect, you'll develop datasets for data visualization and machine learning while working with structured and unstructured data. Responsibilities include automating data pipelines, building data ingestion frameworks using Data Bricks and Apache Spark, and collaborating with stakeholders to deliver data products.

As a Senior GTM Data Strategist, you will lead analytics initiatives to enhance student safety solutions, build data infrastructure, and develop strategic insights for growth. Responsibilities include creating dashboards, managing ETL processes, and mentoring team members while collaborating with C-Suite executives.

The Senior Data Engineer is responsible for analyzing existing data sets, defining data requirements, and performing statistical modeling to improve decision-making processes. Key responsibilities include managing projects, coaching lower-level professionals, developing reports using SQL, and delivering analytic solutions while ensuring data quality and compliance with development standards.

As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.