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# Solutions Delivery Engineer (Remote) job in Remote

- **Company:** RealPage, Inc
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $150,600.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Third Normal Form, Agile Methodology, Amazon Web Services, BigQuery, Cloud Computing, Databases, Data as a Services, Data Architecture, Data Validation, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, DevOps, Graph Database, Python (Programming Language), Meta-Data Management, Application Data, Data Logging, Data Processing, Google Cloud, Backend, Build Management, Kubernetes, Data Lineage, Graphql, Terraform, Software Version Control, Data Pipelines, Docker
- **Published:** August 24, 2026
- **Apply:** https://jobs.diversity.com/career/2463094/solutions-delivery-engineer-remote-new-york-ny-remote

## About the Role

* Strong experience in database technologies and data warehousing
 * Experience in Python for backend development and data processing
 * A strong understanding of data modeling techniques (3NF, Dimensional, etc.) and their intended use cases
 * Hands-on experience with cloud data warehouse platforms like BigQuery, Snowfl ake, or Redshift
 * Experience with modern data transformation tools like dbt or Dataform
 * Experience with ELT/ETL frameworks and data ingestion pipelines at scale
 * Working knowledge of data quality frameworks, error handling, logging, and observability practices
 * Clear and professional communication to manage expectations, explain pipeline behavior, and resolve data discrepancies
 * Experience creating data lineage diagrams and documenting pipelines
 * Ability to design and lead data architecture decisions, including schema evolution, pipeline orchestration, and infrastructure-as-code (e.g., Terraform, Docker, Kubernetes)
 * Strong interpersonal skills to align stakeholders, manage ambiguity, and navigate evolving client expectations

Bonus Skills

 * Experience working with real estate data domains such as property, leasing, tenant, transactions, and capital markets
 * Demonstrated experience ingesting and transforming 3rd-party real estate market data (e.g., CoreLogic, CompStak, Yardi Matrix) and application data (e.g., Yardi, MRI, VTS, Realpage Onsite)
 * Familiarity with knowledge graph or graph database concepts
 * Experience with GraphQL APIs and metadata management
 * Knowledge of DevOps practices and cloud platforms like AWS or Google Cloud Platform (GCP)
 * Experience working in Agile environments with a focus on rapid iteration and continuous improvement
 * Deep experience with real estate data ecosystems, including canonical modeling across property management, leasing, and investment systems
 * Demonstrated success integrating bespoke and third-party real estate data at scale, ensuring consistency, integrity, and compliance with client data standards

#LI-Remote

## Description

We're looking for a passionate and driven Solutions Delivery Engineer to join our Solutions Delivery Team (SDT). In this role you'll own the full data lifecycle for client delivery as part of a small, high-ownership team working at the cutting edge of real estate data services., * Understand and translate client data requirements into clear, well-scoped technical tasks

 * Design and build scalable, maintainable data pipelines aligned to Cherre's standards, spanning ingestion, transformation, and delivery
 * Author and maintain data models using dbt across BigQuery and Snowfl ake environments, managing schema evolution and version control
 * Contribute to a shared automation and tooling layer that enables the team to resolve issues and deliver connectors faster and more consistently
 * Conduct thorough testing and data validation to ensure accuracy, performance, and compliance with client standards
 * Participate in peer reviews to ensure quality, consistency, and adherence to best practices
 * Write clear documentation for each pipeline or transformation step, including data lineage, mapping logic, and assumptions
 * Monitor, support, and maintain data pipelines for ongoing reliability iterate on solutions based on client feedback and evolving needs


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