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Data EngineeringChicago, ILFull-Time
Data Engineer — Pipelines
Build the data infrastructure that feeds TAL's training, evaluation, and product analytics pipelines at petabyte scale.
About This Role
Data is the foundation of everything TAL Corp builds. The Data Engineering team makes sure that data flows reliably, efficiently, and correctly from source to model.
Responsibilities
- ▸Design and maintain batch and streaming data pipelines using Spark, Flink, or Beam
- ▸Build data quality monitoring and anomaly detection systems
- ▸Own the data warehouse and lakehouse architecture (BigQuery, Snowflake, Delta Lake)
- ▸Implement data lineage, cataloguing, and governance tooling
- ▸Collaborate with ML and product teams on data requirements and schema design
Requirements
- ▸BS/MS in Computer Science or Data Engineering
- ▸3+ years data engineering experience
- ▸Expert-level SQL and Python
- ▸Experience with distributed data processing (Spark, Flink, Beam)
- ▸Familiarity with dbt, Airflow, and modern data stack tooling
Nice to Have
- ▸Experience with real-time streaming pipelines (Kafka, Kinesis)
- ▸Background in data platform or analytics engineering
- ▸Familiarity with WebCrawl or large-scale NLP data processing
TAL Corp is an equal opportunity employer. We believe the best team reflects the full diversity of humanity — because we are building for all of it.
Apply Through Training
At TAL Corp you don't just send a résumé — you prove yourself. Apply by joining our training program; complete it, and top performers are hired into this role.
- 1Register & start your 7-day program
- 2Train, build real skills, earn a credential
- 3Top performers → straight into hiring
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