Remote Data Jobs · Data Validation

• Design, build, and maintain high-volume ETL pipelines and ingestion systems.
• Architect reusable data integrations to replace legacy, bucket-based custom reporting.
• Deliver BI-ready datasets consumed by tools such as Snowflake, Tableau, Looker, or internal platforms.

• Serve as the main point of contact for data management timelines, deliverables, and technical or procedural issues.
• Plan, manage, and execute data processing and validation activities to ensure accuracy, compliance, and timely delivery.
• Develop and maintain Data Management Plans (DMP) and Data Quality Review Plans (DQRP).

As a Data Coordinator, you will organize, maintain, and validate critical datasets supporting operational and research initiatives. You will ensure data accuracy, consistency, and security across multiple systems in a fast-paced environment. Your work involves data entry, cleaning, transformation, and preparing reports that provide actionable insights to internal teams.

We are seeking a detail-oriented and analytical Data Coordinator to join our team! The candidate will be responsible for organizing and maintaining databases, ensuring data accuracy, and implementing data security protocols. This includes data entry, data cleaning, and data validation. In this role, the person will leverage foundational Excel skills to gather and organize the custom recruitment team data.

Seeking a highly skilled Senior Data Analyst to support analytics and reporting for our AI and Generative AI solutions team. This role is ideal for someone who thrives in a fast-paced environment where data quality, accuracy, and independence matter. You will be responsible for defining, validating, and delivering data requirements, using data stored across AWS Aurora, DynamoDB, and Athena.

As a Data Integration Engineer III, you will be an integral member of an Agile sprint team. You'll partner closely with Business Systems Analysts, Data Engineers, and cross-functional stakeholders to deliver scalable, high-quality data integration solutions, build and maintain data pipelines, and resolve data issues to improve data health.