Job Opportunities API

CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles. We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together! SENIOR DATA ENGINEER CIQ is seeking a Senior Data Engineer to design, optimize, and scale cloud-based data platforms that power business-critical applications and analytics. You will be responsible for building robust data pipelines, optimizing database performance, and ensuring reliable, secure, and scalable data operations across AWS environments. This is a high-impact role where you'll work closely with engineering teams to support production systems, improve data accessibility, and implement automation that enables data-driven decision making at scale. In this role, you'll get to: Build Scalable Data Pipelines - Design and implement ETL pipelines for batch and real-time data processing. - Develop scalable data workflows in AWS cloud environments. - Build and maintain data ingestion frameworks supporting structured and semi-structured datasets. - Improve data quality, reliability, and governance through automated validation and monitoring. - Implement data transformation processes that support analytics and operational applications. Optimize Database Performance - Review, analyze, and optimize complex SQL queries to improve application and reporting performance. - Design indexing, partitioning, and caching strategies for high-volume workloads. - Monitor database health and proactively identify performance bottlenecks. - Assist development teams in designing efficient data access patterns. - Analyze execution plans and implement performance tuning best practices. Manage Cloud Data Infrastructure - Administer and maintain AWS database services, including Redshift, Aurora, SQL Server, and related platforms. - Manage database schema changes across development, staging, and production environments. - Support CI/CD processes for database deployments and infrastructure updates. - Ensure database security, availability, backup, and disaster recovery standards are maintained. - Implement automation to streamline operational database management. Support Production Operations - Collaborate closely with Software Engineers to support data-intensive applications. - Investigate and resolve database-related incidents and production issues. - Participate in troubleshooting, root cause analysis, and continuous improvement initiatives. - Develop monitoring and alerting solutions to ensure system reliability. - Maintain documentation and operational best practices for data systems. Drive AI-Powered Data Engineering - Leverage AI-assisted performance tuning tools to analyze query execution and system behavior. - Identify optimization opportunities through automated performance analysis. - Support adoption of intelligent automation within data engineering workflows. - Explore predictive analytics and advanced optimization tech