Data Engineer
Quantum World Technologies Inc. · United States
- On site
- Contract
- United States
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About the role
Role- Lead - Data / AI Native Engineer
Location - St. Louis MO (Onsite)
Preferred Qualification –
- 8+ years of Data Engineering and Software Engineering experience.
- 3+ years leading complex data engineering initiatives or engineering teams.
- Proven experience building enterprise-scale data platforms and pipelines.
- Experience delivering cloud-native analytics and AI solutions. Build highly available, secure, and scalable cloud-native data solutions.
- Develop ETL/ELT frameworks for ingesting, transforming, and publishing enterprise data.
- Implement high-volume distributed processing using Spark and PySpark.
- Leverage GitHub Copilot, Claude Code CLI, and AI-assisted development tools to accelerate engineering productivity.
Technical Skills
- Primary skills :- Pyspark n Databricks along with Data / AI Native Engineer skills
- Build Proof of Concepts (POCs) and MVPs using AI-powered development approaches.
- Develop cloud-native solutions leveraging AWS and Databricks ecosystems.
- Build scalable architectures for data ingestion, processing, storage, and analytics.
Key Expectations
- Strong experience in building enterprise-grade data pipelines, modern Lakehouse architectures, AI-enabled data products, and cloud-native platforms leveraging Databricks, AWS EMR, Spark, PySpark, and AI-native engineering tools such as GitHub Copilot and Claude Code.