Remote Data Integration Engineer - ETL/Pipeline Expert

VettedBench; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

VettedBench is seeking a Data Integration Engineer to design and optimize data pipelines, ETL/ELT processes, and data integration solutions. The ideal candidate will have hands-on experience with Python, SQL, PySpark, Databricks, and Snowflake, plus cloud data platform exposure.

This remote role targets professionals with 3–5 years in data engineering or data integration. You will build and maintain data pipelines, integrate data from multiple sources, and ensure data quality and performance

Qualifications

• 3–5 years of data engineering or data integration experience.
• Hands-on with Python, SQL, PySpark and data transformation.
• Experience building data pipelines and ETL/ELT in cloud environments.

Responsibilities

• Develop and maintain ETL/ELT pipelines and data ingestion processes.
• Work with Python, SQL, PySpark, and Databricks for data transformation.
• Integrate data from multiple sources using databases and REST APIs.
• Work with Snowflake, Azure, AWS and Microsoft Fabric.
• Implement data quality checks, validation and reconciliation processes.
• Optimize data pipelines and SQL queries for performance.
• Collaborate with engineering and analytics teams.

Skills

Python

SQL

PySpark

ETL/ELT

Data pipelines

Data warehousing

Azure/AWS

Airflow/Data Factory

REST APIs

Git/CI/CD

Data quality

Tools

Databricks

Snowflake

Job description

VettedBench is seeking a Data Integration Engineer to design and optimize data pipelines, ETL/ELT processes, and data integration solutions. The ideal candidate will have hands-on experience with Python, SQL, PySpark, Databricks, and Snowflake, plus cloud data platform exposure.

This remote role targets professionals with 3–5 years in data engineering or data integration. You will build and maintain data pipelines, integrate data from multiple sources, and ensure data quality and performance