Top Remote Senior Level Data & Analytics Jobs in Washington DC,

The Senior Data Engineer will develop and enhance data pipelines and APIs, utilizing technologies like Python, SQL, and Go within a production-facing team. Responsibilities include mentoring, optimizing data solutions, and participating in the full product lifecycle.

The Senior Data Quality Analyst will mentor junior analysts, lead data quality initiatives, manage data issues, enforce quality standards, and collaborate across teams to ensure data governance and compliance with regulations.

As a Senior Analytics Engineer, you will collaborate with various teams to create data models and flows, automate data acquisition, and enhance decision-making tools. You will also build data quality tests and support business users in query and dashboard monitoring.

As a Senior Data Analyst/Steward, you will lead data governance projects, manage centralized data documentation, and perform data analysis to support business initiatives. Collaboration across teams is key as you oversee data quality and communicate governance standards.

The Staff Data Scientist will develop statistical and machine learning models to enhance the operations platform at Honor. Responsibilities include collaborating with teams, designing predictive models, integrating ML into applications, and mentoring team members throughout the project lifecycle.

The Senior Data Engineer will act as a liaison between data science, engineering, and business teams, building a data platform and managing projects from requirements to maintenance. Responsibilities include optimizing data pipelines and infrastructure, working with various stakeholders, and mentoring team members.

The Data Strategy & Operations Lead will drive modernization efforts for Guidepoint’s data operations, focusing on data quality, governance, and integration with third-party sources. The lead will collaborate with various teams to design strategies, establish data procedures, and ensure compliance with regulatory standards, while developing scalable data pipelines and overseeing data catalogs.