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Lead Data Engineer – Experimentation Platform
aKUBELead Data Engineer at a tech services company developing data solutions for experimentation and A/B testing. Collaborating with Product, Engineering, and Data Science teams on strategic data initiatives.
Tech Stack
Tools & technologiesAirflowCloudETLKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Design and build scalable data platforms supporting experimentation and A/B testing.
- Develop batch and streaming data pipelines for large-scale user and product datasets.
- Build reusable datasets and frameworks for experimentation, analytics, and product measurement.
- Design dimensional data models and analytics-ready data products.
- Implement automated data quality, validation, monitoring, lineage, and governance.
- Build production-grade deployment pipelines with CI/CD and observability.
- Partner with Product, Engineering, Data Science, and Analytics teams to deliver scalable data solutions.
- Optimize data infrastructure supporting experimentation, personalization, and machine learning workloads.
- Mentor engineers and establish best practices for large-scale data engineering.
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
- 7+ years of experience in data engineering or large-scale data platforms.
- Strong experience with distributed data processing and cloud-based data architectures.
- Hands-on experience with Python, SQL, Spark, Databricks, Snowflake, Kafka, and Airflow.
- Strong understanding of data modeling, ETL/ELT, streaming architectures, and lakehouse concepts.
- Experience building experimentation, analytics, personalization, or ML data platforms.
- Experience implementing CI/CD, automated testing, monitoring, and data governance.
- Strong system design and architecture experience.
- Experience mentoring engineers and leading technical initiatives.
Benefits
Comp & perks- Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ModelingETL/ELTDistributed Data ProcessingStreaming ArchitecturesData QualityData GovernanceBatch Data PipelinesStreaming Data PipelinesMachine LearningObservability
Soft Skills
MentoringCollaboration