Geospatial Data Engineer: End-to-End Pipelines & AI

IPinfo; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

IPinfo is looking for a Data Engineer to join their high-performing team in the United States. You'll be responsible for managing and analyzing substantial datasets from various sources, optimizing data pipelines, and ensuring quality control using platforms like BigQuery.

The right candidate will have advanced SQL expertise, strong communication abilities, and a solid background in geospatial fundamentals. If you thrive on ambiguous challenges and bring your own solutions, this could be the perfect role for you.

Qualifications

• Advanced SQL with a focus on performance optimization.
• Strong communication skills for effectively discussing data problems.
• Experience with ambiguous data analysis and turning it into reliable outputs.
• Background in either prominent coding platforms or strong referrals.
• Maintain clean coding practices with test coverage and readability.
• Ability to learn quickly in unfamiliar fields with minimal support.
• Experience with AI-assisted development, with ownership of outputs.
• Understanding of geospatial data operations.

Responsibilities

• Process and analyze large datasets from varied sources.
• Maintain and optimize data pipelines with efficient code.
• Handle geospatial data challenges with appropriate tools.
• Use AI tools effectively while ensuring quality control.
• Document problems and solutions clearly for team understanding.
• Develop web dashboards for internal visibility on data flows.

Skills

Advanced SQL

Strong communication skills

Data interpretation and analysis

Clean-code discipline

Fast learning

Geospatial fundamentals

Tools

BigQuery

Python

Cloud tooling and workflow orchestration

Job description

IPinfo is looking for a Data Engineer to join their high-performing team in the United States. You'll be responsible for managing and analyzing substantial datasets from various sources, optimizing data pipelines, and ensuring quality control using platforms like BigQuery.

The right candidate will have advanced SQL expertise, strong communication abilities, and a solid background in geospatial fundamentals. If you thrive on ambiguous challenges and bring your own solutions, this could be the perfect role for you.