Senior Data Engineer
Chicago or New York City
About Our Client
Our client is seeking a Data Engineer to support its Revenue Operation team, developing and maintaining the data infrastructure that enables commercial reporting, analytics, and business decision-making. This individual will play a key role in building scalable data pipelines, improving governance and reliability, and delivering trusted data solutions for cross-functional stakeholders.
Key Responsibilities
- Build and maintain scalable ETL/ELT pipelines
- Deliver cloud-based data solutions in Databricks and AWS
- Improve data quality, monitoring, and pipeline reliability standards
- Integrate and model data from CRM platforms
- Partner with technical and business teams to deliver reporting needs
Required Qualifications
- 5+ years of data engineering experience in production environments
- Strong SQL, Python, and Spark/PySpark expertise
- Experience with Databricks, Delta Lake, Unity Catalog, and AWS
- Experience with dbt, Airflow, CI/CD, or similar orchestration tools
- Experience integrating CRM and SaaS platforms into data warehouses
- Knowledge of data modeling, warehousing, and governance principles
Benefits/Perks
This position offers the opportunity to help shape the data platform of a well-established global organization while working with modern cloud and analytics technologies.
- Ownership of high-impact data initiatives
- Exposure to modern data and cloud platforms
- Collaborative global team environment
- Career growth and development opportunities
- Competitive compensation and benefits
If you are interested in the Senior Data Engineer role, then please don't wait to apply.
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