Job Description
Job DescriptionOverview
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.
Benefits
- 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.
Qualifications
- 8+ years of data engineering experience with at least 2 years in a lead or senior role.
- Hands-on experience building and operating medallion lakehouse architectures.
- Deep expertise in Apache Spark / PySpark with production experience on Azure Databricks.
- Strong proficiency with streaming platforms - Apache Kafka and/or Azure Event Hub.
- Cloud data architecture skills (Azure preferred; AWS/GCP a plus).
Responsibilities
- Architect end-to-end data pipelines processing terabytes of IoT telemetry on Azure Databricks.
- Design and optimize real-time ingestion pipelines from Azure Event Hub and Apache Kafka.
- Build fault-tolerant, idempotent streaming architectures handling schema evolution.
- Lead architecture reviews, set engineering standards, and drive decisions on data modeling.
- Define technical direction for AI-ready data products including vector stores and embedding pipelines.