Data Quality Engineer — Data Pipelines & Validation

Jupiter Intelligence; New York (NY); On-site; USD 76,000 - 90,000; Full time

Job summary

Jupiter Intelligence is seeking a Data Quality Engineer to own the integrity of data pipelines powering resilience planning and climate risk analytics. You will design validation frameworks, collaborate with Engineering, Product, and Solutions, and ensure vendor data is accurate and launch-ready.

You will work with Python, DAG-based ETL (Prefect), and AWS data services to strengthen data quality monitoring and automate testing.

Qualifications

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

Responsibilities

• Design and execute frameworks for data quality assurance and validation.
• Collaborate across the organization to implement new features, support internal stakeholders, and investigate and improve data infrastructure.
• Partner with the Sr. Engineer, Quantitative Modeler, and Solutions Architect to ensure data feeding the product and financial models is validated and launch-ready
• Participate in stand-ups and other milestone meetings to maintain momentum and alignment across the team.
• Serve as the data quality checkpoint between vendor data ingestion and product delivery, catching issues before they surface downstream
• Establish data quality monitoring and documentation to support the pipeline post-launch
• Surface data quality risks and vendor issues to the Director of Engineering in time to inform launch decisions
• Manage external data vendor relationships and ensure ongoing data quality and validation

Skills

Python

Git

Docker

Data validation

Pandas

SQL

Prefect

AWS S3

Data quality monitoring

ETL design

Education

Bachelor's degree in CS/Statistics

3+ years data engineering/analytics

Tools

Prefect

Snowflake

PostgreSQL

AWS

Job description

Jupiter Intelligence is seeking a Data Quality Engineer to own the integrity of data pipelines powering resilience planning and climate risk analytics. You will design validation frameworks, collaborate with Engineering, Product, and Solutions, and ensure vendor data is accurate and launch-ready.

You will work with Python, DAG-based ETL (Prefect), and AWS data services to strengthen data quality monitoring and automate testing.