ETL / Data Engineer

Role: ETL / Data Engineer (BigQuery & Starburst)

Location: Charlotte, NC (Onsite)

Role Summary

We are looking for ETL/Data Engineers with strong experience in BigQuery and Starburst to design, build, and optimize scalable data pipelines supporting analytics and AI-driven use cases.

Key Responsibilities

Design and develop scalable ETL/ELT pipelines for structured and semi-structured data

Build and optimize data ingestion, transformation, and loading processes into BigQuery

Develop federated query solutions using Starburst (Trino/Presto) across heterogeneous data sources

Implement data modeling, schema design, and partitioning strategies for performance optimization

Ensure data quality, validation, and governance across pipelines

Collaborate with data science and AI teams to enable downstream analytics and Gen AI use cases

Manage scheduling, orchestration, and monitoring of ETL workflows

Required Skills

Strong experience in Google BigQuery (data modeling, querying, performance optimization, cost management)

Hands-on experience with ETL/ELT pipeline development and large-scale data processing

Experience with Starburst / Trino / Presto for distributed query processing

Proficiency in Python, SQL, and Spark-based processing frameworks

Experience with workflow orchestration tools (Airflow, ADF, etc.)

Strong understanding of data warehousing concepts and data governance

Preferred

Experience with cloud data platforms (Google Cloud Platform, AWS, Azure)

Exposure to data lakehouse architectures and federated query models

Understanding of supporting AI/ML and analytics workloads