Senior Data Engineer

* Applicants must be authorized to work in the U.S. for any employer.

* We cannot sponsor employment-based visas at this time.

About The Company

With hundreds of customers across more than 140 countries, Tango is the leader in cloud-based Software-as-a-Service (SaaS) solutions use to manage the end-to-end real estate and facilities lifecycles. Tango’s Store Lifecycle Management and Integrated Workplace Management System software, deliver a single solution spanning real estate, design & construction, lease administration & accounting, facilities maintenance, occupancy management, energy & sustainability, desk booking, visitor and space management.

We are looking for a Senior Data Engineer to join our dynamic and growing Data & AI Engineering team.

Key Responsibilities

:

Data Pipeline Ownership

• Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services (Glue, Lambda, Step Functions, S3).
• Develop automated workflows to ingest, transform, and validate large volumes of structured and semi-structured data.
• Monitor pipeline performance, reliability, and cost efficiency; implement proactive improvements.
• Own the transformation layer in dbt: models, tests, sources, and documentation. Every dataset that reaches the warehouse is modeled in dbt and validated against source.

Database & Warehouse Management

• Manage and optimize production databases (Postgres, TimescaleDB) and our OLAP data warehouse (Redshift, etc).
• Implement database performance tuning, indexing strategies, query optimizations, and schema evolution best practices.
• Oversee data retention, partitioning, and backup/restore strategies.

Data Quality & Governance

• Build automated data validation frameworks and anomaly detection, anchored in dbt tests and source-reconciliation checks..
• Establish and enforce data quality SLAs across ingestion and reporting layers.
• Maintain meta