Senior Data Engineer

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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 techniques to improve platform efficiency. Who you are and what you'll need for this position: 5+ years of experience in Data Engineering, Database Administration, or ETL development. Strong expertise in SQL performance tuning, query optimization, and database architecture. Hands-on experience with AWS database technologies including Redshift, Aurora, SQL Server, DynamoDB, and related services. Strong programming and automation skills using Python, Bash, or similar scripting languages. Experience designing and maintaining ETL/ELT pipelines and workflow orchestration frameworks. Experience with Airflow, AWS Glue, Step Functions, or similar orchestration tools. Knowledge of CI/CD pipelines for database deployments and schema management. Understanding of cloud-native data architecture, security, and governance best practices. Strong troubleshooting and problem-solving skills in production environments. Upper-Intermediate or higher English proficiency, both written and verbal. Bonus Points Cloud & Big Data Experience Experience with big data technologies such as Spark, EMR, Kinesis, or AWS Lambda. Under

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