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 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 metadata, lineage, and documentation standards to support auditability (SOC 1/2, ISO).

Cross-Functional Collaboration

• Work with application engineering teams to design APIs, microservices, and data contracts.
• Support Product and Data Analytics teams with curated datasets and high-performance query patterns.
• Troubleshoot production issues and improve observability using monitoring and alerting tools (CloudWatch, Datadog, etc.).

Required Skills:

Required

• 5+ years of professional experience as a Data Engineer or similar role.
• Strong expertise with Python and SQL, and modern data engineering frameworks.
• Deep experience with AWS data services (Glue, Lambda, Step Functions, S3, Redshift, RDS/Postgres).
• Hands-on experience with ETL/ELT pipeline design, orchestration, and performance tuning.
• Strong experience with production databases (Postgres, TimescaleDB, etc.).
• Solid understanding of data modeling (OLTP, OLAP/star schema), warehousing, and analytics workloads.
• Experience with data quality frameworks, validation, and monitoring.
• Production experience with dbt: building and testing models, managing sources and lineage, structuring a project across staging/intermediate/mart layers and running it in CI.
• Experience with Git-based workflows and CI/CD for data: pull requests, code review and automated testing of transformations.

Preferred

• Experience with time-series data and high-volume ingestion pipelines.
• Background in the Energy, Sustainability, or IoT data domain.
• dbt Semantic Layer or comparable metrics-layer experience (Cube, LookML, Omni semantic models).

What We Offer

We’re committed to creating an environment where you can thrive—professionally and personally. Our offerings include:

• Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.
• Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being.
• Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.
• Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.

Tango is proud to be an equal opportunity employer. We are committed to equal opportunity regardless of race, ethnicity, religion, parental status, sexual orientation, age, citizenship, disability, or veteran status.