Data Operations Engineer: Build Clean Data Workflows

People Architects; Kentucky; Remote; USD 70,000 - 90,000; Full time

Job summary

A recruiting firm is seeking a Data Operations Engineer to manage customer data onboarding and operational workflows. The ideal candidate will leverage Python, SQL, and ETL principles to clean and maintain data within a SaaS platform. Key responsibilities include leading the data onboarding process, building reusable automation scripts, and partnering with teams to ensure data quality. Candidates should possess strong attention to detail and effective communication skills. This role is essential for ensuring reliable data systems.

Qualifications

• Comfort working with large, messy Excel, Google Sheets, and CSV datasets.
• Ability to interpret data models and navigate relational schemas.
• Familiarity with SaaS data structures and multi-tenant databases.

Responsibilities

• Lead customer data onboarding, mapping, and cleansing.
• Build and maintain ingestion processes using Python and SQLAlchemy.
• Own internal and external reporting requests requiring SQL.
• Investigate data anomalies and support engineering teams.

Skills

Python proficiency

Comfort with Excel and CSV datasets

Experience designing data transformations

Understanding of ETL principles

Attention to detail

Clear communication skills

Experience with Python-based ETL frameworks

Troubleshooting in production environments

Tools

SQLAlchemy

Postgres

Git

Job description

A recruiting firm is seeking a Data Operations Engineer to manage customer data onboarding and operational workflows. The ideal candidate will leverage Python, SQL, and ETL principles to clean and maintain data within a SaaS platform. Key responsibilities include leading the data onboarding process, building reusable automation scripts, and partnering with teams to ensure data quality. Candidates should possess strong attention to detail and effective communication skills. This role is essential for ensuring reliable data systems.