Data Quality Engineer: Data Integrity & Validation

Jupiter Intelligence, Inc.; United States; On-site; USD 110,000 - 140,000; Full time

Job summary

Jupiter Intelligence, Inc. is seeking a Data Quality Engineer to own data pipelines, ensure accuracy, and collaborate with Engineering, Product, and Solutions to power our resilience and climate risk products.

You will validate external data feeds, implement QA frameworks, and help launch data-driven features for customers across industries, while maintaining data integrity through audits and monitoring.

Qualifications

• 3+ years of experience in data engineering, data quality, or analytics engineering.
• Bachelor’s degree in computer science, statistics, or a related field (equivalent practical experience considered).
• Experience coordinating with external data vendors and troubleshooting data quality.

Responsibilities

• Design and implement data quality assurance and validation frameworks.
• Collaborate across Engineering, Product, and Solutions to enable new features and improve data infra.
• Ensure external data feeds are validated and launch-ready for product use.
• Participate in stand-ups to maintain momentum and align with milestones.
• Serve as data quality checkpoint between vendor ingestion and product delivery.

Skills

Python coding

Git workflow

Data validation

Pandas

SQL

Prefect

Education

Bachelor's degree in CS/Statistics

Tools

Docker

Snowflake

PostgreSQL

AWS S3

Job description

Jupiter Intelligence, Inc. is seeking a Data Quality Engineer to own data pipelines, ensure accuracy, and collaborate with Engineering, Product, and Solutions to power our resilience and climate risk products.

You will validate external data feeds, implement QA frameworks, and help launch data-driven features for customers across industries, while maintaining data integrity through audits and monitoring.