Pre-vetted Data Engineer talent, fully managed delivery, outcome-based pricing. Onboarded in days — not months. No hiring overhead.
A Data Engineer pod from AiDOOS is a pre-assembled execution unit — vetted talent, a delivery manager, and the tooling to ship outcomes against your roadmap. We handle vetting, onboarding, governance, and reporting. You review shipped work against milestones.
Data engineers at AiDOOS build production-grade data pipelines, warehouses, and infrastructure. Specialists cover ETL/ELT pipelines, dbt transformations, Airflow orchestration, Snowflake / BigQuery / Redshift modeling, streaming architectures (Kafka, Kinesis), and integration with operational systems. Typical seniority: 5–10 years of data-engineering experience.
Pods focused on data-platform work typically include 2 data engineers, 1 backend engineer for operational integration, and 1 platform engineer for infrastructure. Data engineers own pipeline design, data quality, and observability for the systems they ship.
AiDOOS maintains a pre-vetted bench. Kickoff happens after scope alignment — not after a 60–90 day hiring funnel.
Every pod ships with a delivery manager, code-review SLAs, integration with your GitHub / Jira / Monday, and milestone reporting. Outcomes are auditable.
Add or release Data Engineer talent without long-term commitments. Outcome-based pricing means you only pay for shipped work.
Tell us the outcomes you want shipped. We'll come back with a pod composition, milestone plan, and a pricing proposal — usually within 48 hours.