Remote Data Jobs · SQL

• Design, develop, and maintain scalable data platform components for ingestion, transformation, and analytics.
• Build and scale data pipelines using tools such as Airbyte, Rudderstack, Kafka, and DBT with Snowflake.
• Implement CI/CD workflows with GitHub Actions and ensure robust observability using Datadog.

• Craft contextually accurate questions for AI training.
• Analyze SQL queries and result tables.
• Maintain linguistic quality and logical accuracy.

This role ensures clients receive technical support for SaaS solutions, focusing on data pipelines and integrations. Responsibilities include troubleshooting, optimizing data flows, and implementing solutions with SQL and Python. The role requires strong communication skills to explain complex issues and improve support processes through automation.

The Data Steward ensures accuracy, consistency, and integrity of organizational data. This role involves monitoring data quality and analyzing large datasets. Collaboration with cross-functional teams to optimize data workflows and maintain data governance standards is also required.

Work on the end-to-end migration of data from legacy systems to modern platforms. Extract, analyze, and map client data collaborating with engineers and project managers. Test and validate data mapping and coding results to ensure data integrity.

• Serve as a subject matter expert in Value-Based Care (VBC) analytics.
• Develop, enhance, and implement analytics solutions to guide ACO leadership and operations teams.
• Track Key Performance Indicators (KPIs) and communicate insights, trends, and actionable recommendations to stakeholders.

Design, develop, and maintain Snowflake-based data pipelines and ELT workflows. Develop Snowflake objects, including tables, views, stored procedures, and UDFs. Monitor and optimize Snowflake performance using query profiling and workload management.

Transform complex data into strategic insights for financial institutions. Optimize marketing investments and enhance digital customer experiences. Deliver actionable insights to impact campaign performance and ROI optimization.

• Maintain and optimize data pipelines and ETL processes.
• Analyze data to identify trends and generate actionable insights.
• Build and maintain automated dashboards and reports to track key performance indicators.

• Architect and build scalable infrastructure to transform large volumes of raw data into actionable insights.
• Design robust data pipelines, discovery systems, and lineage tracking platforms.
• Influence core data architecture and improve data accessibility and reliability.