Data Engineer - Migrations & Data Warehouse (Remote)

Gear Partners; Charlotte (NC); Remoto; USD 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote-first

Flexible hours

Collaboration tools

Descrizione del lavoro

Gear Partners is a remote-first organization headquartered in North Carolina seeking a Data Engineer to serve as the lead technical analyst for client implementations. You will map data from legacy sources to new systems, oversee data migrations, and develop scalable data pipelines using SQL and Python.

You will collaborate with business analysts and clients to ensure data quality, load accuracy, and performance, while promoting data-driven decision making across the enterprise.

Competenze

• 3+ years proven experience writing complex SQL queries.
• 2+ years proven experience with Python (data pipelines).
• 2+ years of hands-on experience with data warehouse environments.
• Strong understanding of relational database concepts.
• Independent in a fast-paced environment.
• Excellent written and verbal communication.

Mansioni

• Lead data migration and mapping for client implementations.
• Review product specs and progress in daily stand-ups.
• Write T-SQL scripts and data transformation logic.
• Deduplicate and validate client data.
• Collaborate with data warehouse team on schema changes.
• Identify and fix data inaccuracies and create remediation plans.
• Engage with clients and analysts to review migration requirements.
• Perform data analysis and promote data-driven practices.

Conoscenze

SQL

Python

Data warehousing

Relational databases

Data analysis

Communication

Strumenti

SQL Server

Python

Descrizione del lavoro

Gear Partners is a remote-first organization headquartered in North Carolina seeking a Data Engineer to serve as the lead technical analyst for client implementations. You will map data from legacy sources to new systems, oversee data migrations, and develop scalable data pipelines using SQL and Python.

You will collaborate with business analysts and clients to ensure data quality, load accuracy, and performance, while promoting data-driven decision making across the enterprise.