Tiger Analytics data engineer jobs
- Open jobs
- 16
- First seen in the last 30 days
- 3
- Median days open, by our records
- 92
- Reposted
- None
What these jobs say
- Where
- Dallas, Texas 4, Chicago, Illinois 2, Jersey City, New Jersey 2, Mexico City 2, Toronto, Ontario 2, Diamond Bar, California 1
- Work setting
- Remote 10, On site 5, Hybrid 1
- Level
- Mid-level 1, Senior 11, Lead 2
- Tools named most
- SQL 13, Databricks 11, Python 11, Spark 11, Azure 8, AWS 7, GCP 5, Snowflake 5
- Experience asked
- 8 years at least, at the median of 10 jobs that say
Teams hiring and what the work is
- Data Engineering practice
Build and lead Azure data pipelines and Databricks-based data solutions for Tiger Analytics' Fortune 100 clients, coordinating an offshore team of 6-10 engineers.
Senior Data Engineer (Azure) - Agile engineering, architecture, and product teams
Build and run large-scale batch and real-time data pipelines that feed enterprise data and analytics platforms, covering ingestion, transformation, orchestration, and streaming.
Senior Data Engineer - Data team
Design and maintain data pipelines that pull unstructured documents into Snowflake and GCP, using Dataiku and AI tools like OCR and Document AI to turn them into structured data.
GenAI Data Engineer
Open jobs
Counts cover every open data engineer job we read from Tiger Analytics's own careers site, last checked Nov 12, 2026. The role is the one the work describes, whatever the title says. Ages use the day we first saw each job. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system. How we count Report an error