Data Engineer
About This Role
Build reliable data pipelines and analytics platforms that power product insights and ML.
Requirements
- 4+ years of data engineering
- Python proficiency for ETL and orchestration
- Distributed processing with Spark or Flink
- Workflow orchestration with Airflow or Dagster
- SQL excellence with warehouse modeling in BigQuery Snowflake or Redshift
- Data modeling using dbt and the medallion or star schema patterns
- Streaming ingestion with Kafka or Pub Sub
- Data quality testing with Great Expectations
- File formats including Parquet and Delta
- IaC for data stacks using Terraform
- Experience with governance and PII handling
Responsibilities
- Design batch and real time pipelines
- Own data contracts and SLAs
- Create versioned datasets and lineage
- Partner with analytics and ML on features
- Control costs through partitioning and clustering
- Improve developer ergonomics for data platform
Benefits & Perks
Ready to Apply?
Join our team and help build the future of digital products and talent placement.
Application typically takes 5-10 minutes
About NOBLESTARK
A forward-thinking technology company focused on building innovative digital products and talent placement solutions.
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