About the Company
A leading technology company is seeking talented data engineers to join its hybrid teams in Bristol, CT or New York City. The organization focuses on building scalable data systems and advanced analytics solutions to support high-volume, event-driven applications. The work environment encourages collaboration, innovation, and the development of production-grade solutions over large datasets.
About the Role
This is a 10-month hybrid contract role (4 days onsite per week) offering up to $96/hr on W2, depending on experience. Candidates must be U.S. Green Card holders, U.S. Citizens, or hold valid EADs (excluding OPT, CPT, and H1B). C2C, 1099, or subcontract arrangements are not accepted.
Responsibilities
- Build deterministic attribution logic over clickstream and user browse event data
- Develop Scala-based functional programming solutions to model user state transitions and event pathways
- Use Spark to process large-scale datasets and prepare data for application-level processing
- Contribute to gold and silver data layers supporting analytics and recommendation systems
- Participate in RFC design processes, including data modeling, integration testing, and documentation
- Deliver high-quality, production-grade code in a collaborative engineering environment
Qualifications
- 5+ years of hands-on data engineering or backend engineering experience
- Strong coding fundamentals with ability to solve problems in live coding interviews
- Experience working with high-volume, event-driven data systems
- Understanding of medallion architecture, SCD concepts, and non-summable metrics
- Bachelor’s degree in a technical field preferred (or equivalent experience)
Must Have
- Strong Scala with functional programming experience (building application-level logic over large datasets)
- Apache Spark in production environments
- Advanced SQL on large datasets (complex joins, window functions, aggregations)
- Experience building attribution logic or event-based user journey modeling over clickstream or event data
- Databricks experience in production environments
Nice to Have
- Experience with attribution modeling in media, ads, or commerce environments
- Background in backend engineering with Scala
- Experience supporting recommendation or personalization systems
Benefits
- Hybrid work model with 4 days onsite per week
- Opportunity to work with large-scale, event-driven datasets
- Exposure to advanced Scala, Spark, and Databricks production environments
- Collaborative and innovative engineering culture