Senior Data Engineer

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🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Tango

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏗️ Construction

📦 Logistics

💼 Consulting

Construction • Logistics • Consulting

Tango is a software company that provides a connected intelligence platform for managing commercial real estate across the entire property lifecycle. Its SaaS products include portfolio strategy, site selection and predictive analytics, lease and transaction management, project and maintenance coordination, occupancy and workplace tools, and energy & sustainability (utility, emissions, and ESG reporting). Tango serves corporate real estate, retail, landlords, and government customers to optimize space, reduce costs, and meet sustainability goals.

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines using AWS-native services • Develop automated workflows to ingest, transform, and validate structured and semi-structured data • Monitor pipeline performance, reliability, and cost efficiency and implement improvements • Own the dbt transformation layer, including models, tests, sources, and documentation • Manage and optimize production Postgres and TimescaleDB databases and the Redshift OLAP warehouse • Implement performance tuning, indexing, query optimization, schema evolution, retention, partitioning, and backup/restore strategies • Build automated data validation and anomaly-detection frameworks • Establish and enforce data quality SLAs • Maintain metadata, lineage, and documentation standards for auditability • Collaborate with application engineering on 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 with monitoring and alerting tools

🎯 Requirements

• 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 Glue, Lambda, Step Functions, S3, Redshift, and RDS/Postgres • Hands-on experience designing, orchestrating, and performance-tuning ETL/ELT pipelines • Strong experience with production databases, including Postgres and TimescaleDB • Understanding of OLTP, OLAP/star-schema data modeling, warehousing, and analytics workloads • Experience with data quality frameworks, validation, and monitoring • Production experience with dbt, including models, tests, sources, lineage, layered project structure, and CI execution • Experience with Git-based workflows and CI/CD for data, including pull requests, code review, and automated transformation testing • Experience with time-series data and high-volume ingestion pipelines preferred • Background in Energy, Sustainability, or IoT data preferred • Experience with dbt Semantic Layer or comparable metrics-layer tools preferred • Must be authorized to work in the U.S. for any employer • Must not require employment-based visa sponsorship

🏖️ Benefits

• Health, dental, and vision insurance • 401(k) plan with company match • Generous paid time off • Fully remote work environment • Inclusive and collaborative culture • Equal opportunity employment