Data engineering talent network
Curate Partners connects organizations with data engineering experts who build and optimize the data ecosystems that power analytics, AI, and digital transformation. Our network includes specialists in cloud data architecture, ETL development, and real-time data processing who enable scalable, secure, and high-performance data infrastructure across industries.
Why employers choose Curate Partners for data engineering talent
- Vetted professionals experienced with AWS, Azure, GCP, Databricks, and Snowflake platforms.
- Flexible engagement models for full-time, contract, or project-based needs.
- Fast access to a curated network of engineers ready to architect and deliver at scale.
- Strategic alignment with your cloud, data, and AI transformation goals.
Key data engineering capabilities
| Core focus area | What our experts deliver |
|---|---|
| Data architecture and modeling | Design and implement scalable data lakes, warehouses, and pipelines across cloud ecosystems like AWS, Azure, and GCP. |
| ETL and orchestration | Build automated data ingestion and transformation pipelines with Airflow, dbt, Glue, Dataflow, and Step Functions. |
| Streaming and real-time data processing | Develop Kafka, Spark Streaming, and Pub/Sub solutions that enable near real-time analytics and event-driven systems. |
| Performance tuning and optimization | Improve query performance, data freshness, and pipeline efficiency through partitioning, caching, and distributed computing. |
| Data governance and quality | Implement validation frameworks, schema monitoring, and lineage tracking to ensure data integrity and compliance. |
| Machine learning and AI enablement | Prepare and manage ML-ready datasets, build data pipelines for model training, and integrate AI workflows with enterprise systems. |
| Generative AI and intelligent automation | Apply LLMs and retrieval-augmented generation (RAG) within data workflows for metadata automation and advanced analytics. |
Sample data engineering professionals in our network
Candidate A — senior data engineer and cloud architect
Candidate A has over seven years of experience designing and optimizing cloud-native data pipelines on AWS and GCP. They have migrated legacy data warehouses to BigQuery, reduced query latency by 40%, and automated ETL processes using Airflow and Dataflow. Known for bridging data engineering, analytics, and data science teams to deliver scalable, high-performing solutions for enterprise clients.
Candidate B — data engineer specializing in AI and healthcare analytics
Candidate B builds data platforms that power AI and predictive modeling. They have used Databricks, PySpark, and Snowflake to automate risk scoring and clinical forecasting pipelines, cutting processing times by 60% and cloud costs by $200K. Their experience applying Generative AI for clinical summarization and data extraction showcases the next generation of intelligent data engineering.
Partner with Curate Partners to source data engineering talent
We curate data engineers who build the infrastructure behind modern analytics and AI. Our network helps organizations move faster, integrate smarter, and make data a competitive advantage.