Staff Data Engineer, Creator Intelligence
Warsaw
CreatorIQ
Compare the best business software and services based on user ratings and social data. Reviews for CRM, ERP, HR, CAD, PDM and Marketing software.CreatorIQ has earned the title of best companies to work for in multiple programs including BuiltIn Austin, LA and NY, was named a 2024 Deloitte 2024 Technology Fast 500 winner, Leader by The Forrester New Wave™: Influencer Marketing Solutions, and recognized by G2 as a Leader, Best Customer Relationship, G2 Top 100 Fastest-Growing Products and 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.
Be a Part of Our Dynamic Team and Transform the Industry Together!
Staff Data Engineer, Creator Intelligence
The Senior Data Engineer is responsible for designing, optimizing, and maintaining scalable data infrastructure and pipelines, ensuring efficient data processing and integration across databases (PostgreSQL, Redshift, ElasticSearch). As a technical leader within the Creator Intelligence team, this role focuses on building robust data solutions that enable full testability and monitoring. The Senior Data Engineer works closely with Software Engineers, Product, and DevOps to deliver high-performance data solutions.
What you’ll do:
Design and optimize ETL pipelines for batch and real-time data processing
Implement data processing workflows in AWS cloud environments, ensuring scalability and efficiency
Integrate with various data stores including OLTP databases (PostgreSQL, SQLServer), OLAP (DuckDB, Redshift), Vector and full-text search (ElasticSearch), and streaming (Kafka, Kinesis).
Develop and maintain fully testable and monitorable data pipelines
Collaborate closely with other engineers, product owners, and data scientists to deliver effective solutions to business problems
Who you are and what you’ll need for this position:
Bachelor's degree in Computer Science, Software Engineering, or a related field
8+ years of experience of data engineering in large-scale production systems
Strong experience with a variety of OLTP and OLAP databases and related data modeling techniques
Proficiency in Python, Java, Scala, Go or similar languages for data processing
Hands-on experience with ETL tools and workflow orchestration frameworks (e.g. Airflow, AWS Glue, Step Functions)
Upper-Intermediate or higher English level (spoken and written)
Experience with MLOps tooling (e.g., MLflow, Kubeflow)
Familiarity with streaming data architectures and real-time processing
Knowledge of data governance and compliance frameworks
Containerization and Kubernetes experience for data workloads
Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. Have 50% of the criteria? Excited about this opportunity? Passionate about what we do at CreatorIQ? Please apply! CreatorIQ is a place where everyone can grow.
Who we are:
CreatorIQ is the leading creator marketing platform brands and agencies rely on to maximize creator marketing programs. Its enterprise-grade workflows and industry-leading intelligence deliver AI-powered creator discovery, unified program management, and standardized measurement that is safe, seamless, smart, and built for scale. Thousands of global organizations use CreatorIQ, including Nestlé, Movers+Shakers, RQ, Sephora, Unilever, and more. CreatorIQ is a global company headquartered in Los Angeles with offices in Austin, San Francisco, London, Manila, and Warsaw.
At CreatorIQ, we believe that diversity is the key to unlocking our full potential. We are committed to fostering an inclusive, equitable, and empowering work environment where everyone can thrive, regardless of race, ethnicity, gender, sexual orientation, age, religion, disability, or any other characteristic that makes us unique. By embracing our core values of being client-focused, putting team members first, leading with empathy, ensuring a no jerks policy, and staying focused on what's important, we create an atmosphere that promotes collaboration and growth. Join us to celebrate differences, innovate together, and be a part of a business that is disrupting the marketing industry.
Compensation, benefits and beyond:
We understand that a comprehensive benefits package plays a significant role in your overall compensation. To gain more insight into the various components of our total compensation, we invite you to review our benefits and perks.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS AWS Glue Computer Science Data governance Data pipelines DevOps Elasticsearch Engineering ETL Java Kafka Kinesis Kubeflow Kubernetes MLFlow MLOps OLAP Pipelines PostgreSQL Python Redshift Scala Step Functions Streaming
Perks/benefits: Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.