Data Engineers Who Build What Your Business Runs On
Clean, reliable data infrastructure does not happen by accident. Scadea places data engineers who have built and maintained the pipelines, warehouses, and lakehouse architectures that power analytics, reporting, and AI programs at scale — across cloud platforms and on-prem environments.
Technical Skills Our Data Engineers Bring
- Cloud platforms: Snowflake, Databricks, BigQuery, Amazon Redshift, Azure Synapse
- Pipeline development: dbt, Apache Spark, Apache Airflow, Fivetran, Informatica
- Programming: Python, SQL, Scala, PySpark
- Data modeling: dimensional, data vault, and medallion architectures
- Real-time streaming: Kafka, Kinesis, Delta Lake, Apache Flink
- Data quality, observability, and governance tooling
Right for Migration, Modernization, and Scale
Whether you are migrating from an on-prem warehouse to the cloud, rebuilding a legacy ETL layer in dbt, or building the foundational data infrastructure for a new analytics or AI program, Scadea places engineers with the specific stack and domain experience your project requires.
Vetted on Real Skills, Not Keywords
Every engineer we place has been assessed on hands-on skills — not just their ability to list tools. We verify project experience, conduct technical interviews, and only present candidates ready to contribute immediately.
Tell us your stack, your project, and your timeline. Scadea will place the right data engineer.