2 months ago
Remote, United States or Remote, CanadaSenior
Base Salary
$125k - $165k/yr
Responsibilities
- Design, build, maintain, monitor, and optimize scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and S3.
- Own the dbt transformation layer, including models, tests, sources, documentation, lineage, and staging/intermediate/mart structures.
- Manage and optimize Postgres, TimescaleDB, Redshift, and other production database and warehouse systems.
- Implement database tuning, indexing, query optimization, schema evolution, retention, partitioning, and backup/restore strategies.
- Build automated data validation and anomaly detection frameworks and enforce data quality SLAs.
- Collaborate with application engineering teams 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 monitoring, alerting, reliability, observability, and cost efficiency.
Requirements
- 5+ years of professional experience as a Data Engineer or in a similar role.
- Strong expertise with Python, SQL, and modern data engineering frameworks.
- Deep experience with AWS data services including 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 such as Postgres and TimescaleDB.
- Understanding of OLTP, OLAP, star-schema data modeling, data warehousing, and analytics workloads.
- Experience with data quality frameworks, validation, monitoring, and production dbt projects.
- Experience using Git-based workflows and CI/CD for data transformations, including pull requests, code review, and automated testing.
- Preferred experience with time-series data, high-volume ingestion pipelines, Energy, Sustainability, or IoT data, and semantic or metrics layers such as dbt Semantic Layer, Cube, LookML, or Omni semantic models.
Benefits
- Base pay is $125,000–$165,000 annually.
- Health, dental, and vision insurance are provided.
- 401(k) plan with company match is provided.
- Generous paid time off is offered.
- Flexible remote, hybrid, or in-office work arrangements are supported.
- The company promotes an inclusive and collaborative culture.
Tech Stack
Categories
Data Engineering
About Tango
Tango builds a social live‑streaming mobile app where creators broadcast, chat with audiences, and earn through virtual gifts and in‑app purchases. The platform serves content creators and viewers seeking real‑time entertainment and community. Privately held and headquartered in Mountain View, California, Tango reports over 400 million downloads and maintains global offices in Kyiv, Limassol, Warsaw, Dubai, and Tel Aviv.