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ETL/Data Engineer
- Montvale, New Jersey, United States
- Montvale, New Jersey, United States
Über
Role Summary We are seeking a Technical ETL Lead to design, build, and manage scalable data pipelines and modern data platforms using Databricks and cloud‑based data lakes. This role will play a critical part in delivering data solutions that support analytics, reporting, and AI initiatives.
Key Responsibilities
Data Engineering Leadership
Lead design and implementation of ETL/ELT pipelines on cloud platforms
Drive best practices for scalable, reliable, and high‑performance data solutions
Provide technical leadership and mentoring to data engineers
Databricks & Data Platform Development
Build and optimize data pipelines using Azure Databricks
Design and manage Data Lake architectures (Lakehouse preferred)
Develop reusable frameworks for ingestion, transformation, and orchestration
Architecture & Design
Define data models, integration patterns, and storage strategies
Ensure data quality, governance, and security across pipelines
Optimize performance and cost across large‑scale data processing systems
Collaboration & Delivery
Work with business, analytics, and application teams to define data requirements
Partner with cloud, DevOps, and architecture teams for platform integration
Automation & AI Enablement
Incorporate automation, AI/ML pipelines, and agentic workflows
Build intelligent data pipelines with monitoring and self‑healing capabilities
Experience
8+ years in Data Engineering / ETL development
2–3+ years in a lead or senior technical role
Skills Required
Strong experience with:
Azure Databricks (Spark, PySpark)
Data Lakes (Azure Data Lake Storage)
ETL/ELT frameworks and distributed data processing
SQL, Python (preferred), and data modeling
Cloud & Tools
Azure ecosystem (ADF, Synapse, Databricks)
CI/CD pipelines for data workflows
Data governance and monitoring tools
Soft Skills
Strong problem‑solving and communication skills
Ability to translate business needs into technical solutions
Preferred Experience
Large‑scale enterprise data platform implementation
Experience with real‑time streaming (Kafka/Event Hub)
Familiarity with AI/ML pipelines and advanced analytics
Experience in regulated/audit environments
Key Differentiator
Ability to build modern, AI‑enabled data platforms with strong automation and scalability
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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Sprachkenntnisse
- English
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