Sr Data Engineer

Recognized by Clarivate, Forbes, the Human Rights Campaign, and Military Friendly® for innovation, workplace excellence, inclusion, and veteran support.

A global building automation and industrial technology company with 100+ years of history, 25,000+ patents, and 7,000+ engineers, operating across 70+ countries and 4 major business areas. Its technologies support industries including buildings, manufacturing, healthcare, data centers, and utilities worldwide.

• 401(k) match: Employer matches 87.5% of the first 8% of eligible pay, up to 7% of base salary; generally fully vested after 3 years.
• Education support: Up to $5,250/year for eligible undergraduate programs and $7,500/year for graduate programs.
• Paid parental leave: 8 weeks (40 business days) for birth, adoption, or foster-care placement.
• Paid time off: 56 hours of paid sick time annually, plus vacation and 12 paid holidays.
• Health coverage: Medical, dental, and vision plans, including an HSA-eligible medical option and 100% in-network preventive care.
• HSA & FSA: Tax-advantaged accounts for eligible healthcare, dental, vision, and dependent-care expenses.
• Disability coverage: Short-Term Disability provides 100% of base pay for up to 8 weeks, then 70% through week 26; Long-Term Disability provides 60% of base pay after Short-Term Disability.
• Employee support: Company-paid with 8 sessions per issue per year, plus health and wellness resources.
• Employee support: Company-paid Employee Assistance Program with 8 sessions per issue per year, plus health and wellness resources.
• Insurance & discounts: Company-paid basic life insurance of 1 annual base pay, Accidental Death & Dismemberment coverage, Business Travel Accident Insurance, and employee discounts.

Benefits may vary by location, position, employee classification, and eligibility.

• Minimum 5 years of experience building production data pipelines in Databricks processing TB scale data
• Extensive experience implementing medallion architecture (Bronze/Silver/Gold) with Delta Lake, Delta Live Tables (DLT), and Lakeflow
• Strong hands-on proficiency with PySpark for distributed data processing and transformation
• Strong experience working with cloud platforms such as Azure, GCP and Databricks
• Proficient in CI/CD practices using Databricks Asset Bundles (DAB), Git workflows, and understanding of DataOps practices

• Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams
• Build and maintain data pipelines for AI product lifecycle, including training data preparation and inference data flows
• Develop and optimize RAG (Retrieval Augmented Generation) systems
• Lead the architecture and development of scalable data platforms on Databricks
• Drive the integration of GenAI capabilities into data workflows and applications