Top Remote Data Engineering Jobs

Lead end-to-end data acquisition, ingestion, curation, and storage for foundation models (3D, video, image, audio). Ensure legal compliance, negotiate vendor contracts, develop tooling and standards for searchable, indexed datasets, and align data strategy with research and product roadmaps while managing cross-functional teams and vendor relationships.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

Client-facing data scientist supporting clinical data transfer, ETL, validation, analysis, and Power BI dashboards. Build R scripts, assist data harmonization, support internal tools and basic web interfaces while working with cross-functional teams on clinical trial data.

Design, build, and maintain scalable, tested data models and transformation pipelines (dbt, Snowflake). Partner with Data Science, Product, and Engineering to codify business logic, enable downstream BI (Hex), enforce Git-based workflows, automated tests, and CI/CD, and drive data quality and observability for clinical and financial analytics.

Serve as a subject matter expert for data requests and system updates: design database structures, build and maintain data pipelines, write and optimize SQL, clean and transform data with SQL and Python, create dashboards and visualizations, analyze large datasets, and automate processes to improve data quality and workflows.

The Principal will lead data engineering projects, support pipeline development, ensure compliance with regulations, and collaborate with researchers to meet data requirements.

Design and implement data models and views for integrating legacy systems with ITBA, focusing on managing various data sources and deriving KPIs for scorecards.

As a Senior Analytics Engineer, you'll build data pipelines and dashboards, partner with stakeholders for KPI development, and ensure data quality across the company.

Lead the Core Analytics team, manage data engineering standards, design analytics architectures, and mentor team members while ensuring data integrity and analytics effectiveness.