Remote Data Jobs

Seeking an experienced and highly skilled Business Intelligence (BI) Developer who can translate complex data into actionable insights, and also take ownership of BI solutions from development through deployment. The ideal candidate will have hands-on, in-depth experience with Power BI, data modeling, and a strong business acumen, coupled with the critical soft skills that ensure high-quality solutions.

As a Remote Data Management Assistant, work closely with the research team to collect, clean, and manage large sets of data from various sources, develop and maintain data entry protocols and quality control procedures, ensure the accuracy and completeness of all data collected and entered into databases, organize and maintain electronic and physical records of data and research materials and conduct regular data audits to identify and resolve discrepancies or errors.

Design and implement modern data architectures and data pipelines on cloud platforms (AWS or Azure). Implement ETL/ELT routes, batch and streaming processing with a focus on scalability and maintainability. Integrate storage systems, event sources, databases and analytics platforms. Automate data processing processes with infrastructure and DataOps methods. Advise customers on data strategy, governance and cloud-native data services.

As an analytics engineer you will be responsible for both implementing new analytics infrastructure and making improvements to our existing systems. You will ensure delivery of solutions on-schedule following modern best practices, using DBT, continuous integration, linting and testing. This position requires you to deliver clean, maintainable, and extensible code and interface with operators to understand their needs.

As a Data Engineer, you will analyze, design, and implement data pipeline features and infrastructure improvements. You will write efficient, well-tested code and conduct unit and integration testing. You’ll build and optimize data ingestion and ETL/ELT processes. You’ll participate in end-to-end project delivery—from ideation to production. You’ll collaborate cross-functionally with security and product teams to embed security and compliance best practices into development processes.

Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.

Data Analytics Intern based remotely in a European timezone. Requires strong interest in data, a proactive mindset, and sharp analytical thinking.

Reprise Financial is seeking an experienced VP – Enterprise Data Management to lead our EDM team of approximately 15 people focusing on gathering requirements, designing, and implementing data solutions. This leadership role involves designing, documenting, and improving processes delivering effective operational databases, data warehouse, and business intelligence solutions. The role leads future changes, identifying deliverables, testing, and documenting changes. The position engages with various units.

This is a contract opportunity with potential to extend or convert and seeking a Mid-Level Data Engineer to support data design and delivery within Risk Assurance Data and System projects. The ideal candidate is an independent, technically adept professional who can identify and lead data engineering initiatives. You will work closely with data analysts, IT teams, and business partners to ensure optimal data pipeline and model development.

As a Data Specialist, you will assist a government client in processing data using LAW, regularly loading large volumes of production data and running exports from the database for creating discovery party productions, as well as downloading files from JEFS and performing quality control on load and export files to ensure accuracy.