Remote Data Engineer - Build Scalable Data Pipelines

LEVI, RAY & SHOUP, INC; Northern (KY); Hybrid; USD 52,000 - 69,000; Full time

Job summary

Levi, Ray & Shoup, Inc. is seeking a mid-level Data Engineer for a 6-month contract-to-hire engagement with remote work options in the United States.

The candidate will design, build, and maintain scalable data pipelines and data-centric solutions in collaboration with IT, data analysts, and data scientists. The role requires 3+ years of data engineering or related experience, strong SQL skills, and experience with Snowflake, dbt, and SQL Server.

Qualifications

• 3+ years of data engineering, software development, or related field.

Responsibilities

• Design, develop, and optimize data pipelines for ingestion, transformation, and storage.
• Build and manage ETL/ELT processes for clean, timely analytics data.
• Integrate data from multiple sources into the data platform.
• Work with SQL Server and other databases for large datasets.
• Enforce data quality, governance, and security standards.

Skills

SQL

Python

Tools

Snowflake

dbt

SQL Server

Git

Job description

Levi, Ray & Shoup, Inc. is seeking a mid-level Data Engineer for a 6-month contract-to-hire engagement with remote work options in the United States.

The candidate will design, build, and maintain scalable data pipelines and data-centric solutions in collaboration with IT, data analysts, and data scientists. The role requires 3+ years of data engineering or related experience, strong SQL skills, and experience with Snowflake, dbt, and SQL Server.