Remote Data Jobs • SQL

Redhorse is seeking a highly motivated and curious Data Engineer to join our team supporting the US National Defense Strategy. You will play a vital role in translating complex business requirements into actionable data-driven insights, impacting national security by directly contributing to the modernization of critical defense systems. This position offers the unique opportunity to work on challenging problems at the forefront of data engineering for a government client, using cutting-edge technologies to support critical national security objectives.

Influence your own development at a company where you have the opportunity to pursue your interests and grow professionally. As a Senior BI Developer, you will understand business requirements, prepare visualization reports, and employ statistical techniques to analyze data. You will also implement data governance policies, collaborate with cross-functional teams, and stay updated with the latest technology trends.

A DB2 Architect responsible for managing and maintaining IBM DB2 databases, ensuring that they are running efficiently and securely. Knowledge of integration of DB2 databases on various platforms. Proficiency in writing complex SQL queries and optimizing SQL Queries for finetuning performance issues. Knowledge of normalization, data modeling, Load management, and suggesting best practices for DB2 schema design.

Join the Analytics team at Wealth.com as a Senior Data Scientist or Senior Analytics Engineer, where you'll engage in insights and analysis, manage and model data in the data warehouse, create reports, and develop data visualizations using SQL and Python, including for ad hoc analyses and basic ELT pipelines.

Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives. Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems. Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm.

Looking for a Product and BI Analyst due to team expansion, with the ability to work 1-2 days a week in the evening or afternoon to match US time zones. As the Product and BI Analyst, you will own the BI domain by leading company-wide analytics, defining processes, and championing a data-driven culture. You will partner with various teams to track KPIs, analyze performance, and uncover improvement opportunities, turning data into impact.

Advancing data analytics and master data management (MDM) capabilities are at the core of the company strategic vision to augment business decision-making. This role will be responsible for cultivating a culture of data stewardship and ownership across the enterprise. Crucial to ensuring data quality accuracy, security, and compliance of data, the role will involve working with the stakeholders to gather requirements, and design and implement standardized data governance policies.

The Data Engineer is a hands-on role responsible for building scalable data pipelines and developing automated reporting solutions. Requires strong technical skills, problem-solving ability, and effective communication with both technical and non-technical stakeholders. Ideal for a self-starter who thrives in a fast-paced environment and takes ownership of delivering results.

This role as Manager of Healthcare Data Engineering is within CommonSpirit’s Payer Strategy & Analytics (PSA) team. As the Manager, you will manage and optimize PSA’s data repositories, tools and applications to support the delivery of exceptional patient care through contracting excellence. Your leadership and expertise in data engineering will be pivotal in driving innovation and efficiency within our organization.

Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality. This role deals specifically with blockchain data. Design data models, build tooling and pipelines for blockchain data, and build mechanisms of data quality measurement and enforcement to ensure reliability and completeness of data.