Determined by experience, skills, + role fit; not ...
Fully remote
Strong sql skills for complex logic
Practical python experience with pandas
Experience integrating external systems via apis
FHI is seeking a junior to mid-level Data Engineer fluent in SQL and Python to build and maintain production data pipelines and system integrations. The role is fully remote and focuses on delivering reliable data and actionable insights by partnering with the Business Intelligence team
Job Summary
The role involves owning data pipelines end-to-end to deliver reliable data and actionable insights across the business.
Candidates must be comfortable reading, understanding, and improving existing systems rather than just building greenfield solutions.
The position requires strong analytical thinking and the ability to work independently in a rapidly changing environment.
Matching Summary
Match Score: 85
FHI is seeking a junior to mid-level Data Engineer fluent in SQL and Python to build and maintain production data pipelines and system integrations. The role is fully remote and focuses on delivering reliable data and actionable insights by partnering with the Business Intelligence team.
Salary
Determined by experience, skills, and role fit; Not specified; Not specified
Skills & Requirements
Must-have
Strong SQL skills for complex logic
Practical Python experience with Pandas
Experience integrating external systems via APIs
Understanding of logging and error handling
Solid grasp of data architecture and modeling
Experience using version control with Git
Nice-to-have
Experience with SQL Server and Snowflake
Fivetran integration experience
PowerBI or SSRS reporting platform knowledge
Workday or ERP system data ingestion
Relevant certifications in data engineering
Non-traditional candidates with GitHub projects
Key Requirements
Bachelor's degree in Computer Science or equivalent experience
Experience maintaining data pipelines across SQL Server/Snowflake
Supporting data ingestion from enterprise systems like Workday