Senior Data Engineer

🔥 6 minutes ago

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Equiem

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🏠 Real Estate

☁️ SaaS

🤝 B2B

💰 Venture Round - Equiem on 2022-01

Real Estate • SaaS • B2B

Equiem is a proptech company that provides a smart building management platform (Equiem One) for real estate owners and operators. It integrates tenant and workplace experience tools, property operations/automation, flexible space management, data analytics and integrations/APIs to enable community engagement, hybrid workplace tools, and operational efficiency. The platform includes products named Engage, Ops, Flex, Data, Connect and Hybrid and is used by 150+ real estate organizations globally to improve tenant attraction/retention, manage flex spaces, streamline property workflows, and deliver portfolio-scale analytics. Equiem focuses on tenant experience, workplace experience and real estate experience, serving asset managers, property managers, workplace managers, tenants, and occupiers across A-grade offices, business parks, science parks, mixed-use assets and more.

📋 Description

• Design, build, and maintain data pipeline components spanning ingestion, streaming (Kinesis), storage (S3), and transformation (dbt, Glue). • Lead or contribute to data transformation layer re-architecture a rare opportunity to shape how data flows across an entire suite. • Build and maintain Glue ETL jobs and evolve dbt model layers (staging, intermediate, mart). • Ensure pipeline correctness with exactly-once delivery, deduplication logic, and schema migration management. • Implement data quality assertions and monitor pipeline health proactively. • Partner closely with product managers, analysts, and customer success to translate needs into well-modeled dbt marts.

🎯 Requirements

• Strong hands-on experience building and operating production data pipelines ideally event-driven or streaming. • Solid SQL skills and meaningful dbt experience. • Familiarity with AWS data services: S3, Athena, Glue, Lambda, Kinesis, SQS, SNS, Opensearch. • Proficiency in Python or TypeScript/Node.js for pipeline code. • Experience with AWS CDK. • Strong instinct for data quality: you write tests and treat unvalidated data as a bug. • Clear communication about schema decisions and pipeline tradeoffs.

🏖️ Benefits

• Flexible remote work • wellbeing leave • paid parental leave • EAP • leadership development