Data Engineers
Pipelines, lakehouses, and real-time analytics.
01 —Role overview
Data Engineers build the data foundations — from ingestion through warehousing to analytics — that power decision-making and product features.
02 —Key responsibilities
What you'll do.
- 01Design ELT/ETL pipelines and orchestrate with Airflow or Dagster
- 02Model and maintain data warehouses on Snowflake, BigQuery, or Redshift
- 03Implement streaming pipelines with Kafka or Kinesis
- 04Partner with analytics teams on dbt models and data quality
- 05Drive data governance and lineage tooling
03 —Skills & tooling
In demand.
PythonSQLSnowflakedbtAirflowKafkaSparkAWS
04 —Experience
Typical range
3–8 years
→ Let’s talk
Hiring a Data Engineer?
Pre-screened candidates ready to deploy. Tell us your timeline.