Top Data Engineer Jobs in Washington DC,
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 Data Engineer at Demyst, you will build data-driven solutions for financial institutions, leveraging external data and innovative datasets through the company's proprietary software architecture and cloud infrastructure. Responsibilities include data analysis, ETL, API development, and collaborating with stakeholders to deliver insights that meet business objectives.
As a Principal Data Engineer, you will lead data engineering initiatives, architect integrated data platforms, maintain ETL pipelines, and utilize AWS services. Collaborating with various teams, you will ensure data efficiency and regulatory compliance while mentoring fellow engineers and optimizing data processes using advanced statistical methods and technologies like Docker, Snowflake, and Spark.
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
The Staff Data Engineer will collaborate with data analysts and scientists, building and managing data pipelines, designing databases, and driving data-driven decision-making across departments. Responsibilities include improving development processes and mentoring junior staff while engaging in impactful projects.
The Senior Data Engineer will be responsible for designing and developing a robust data ingestion platform utilizing Azure technologies. Duties include creating complex data pipelines, writing SQL queries, ensuring data quality, and collaborating with teams for data modeling and analysis while adhering to compliance policies and practices.
The VP of Data and Content Engineering will lead data strategy and content initiatives, develop data models, enhance user experiences, promote engineering excellence, and collaborate with cross-functional teams to drive customer value and innovation for Flexera's platforms.
The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.
As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.
The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.
Top Companies in Washington DC, Hiring Data + Analytics Roles
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