[Hiring] Full-Stack Data Engineer @NIVA Health

Role Description

This role is for you if you enjoy building real data solutions end-to-end — not just one piece of the puzzle. At NIVA Health, we’re growing our data capability and looking for a Full-Stack Data Engineer who’s comfortable working across the full data lifecycle:

• Pulling data in, cleaning it up, building pipelines — all the way through to dashboards and usable insights.
• Working on the back end and the front end of data, alongside a collaborative team, solving practical problems that impact healthcare operations every day.

What you’ll be working on:

• Designing, building, and maintaining data solutions that power reporting and decision-making across the business.
• Building and maintaining data pipelines using Google Cloud Platform (BigQuery, Cloud Functions, Cloud Composer, Cloud Scheduler).
• Cleaning, transforming, and organizing data from multiple sources (APIs, spreadsheets, internal systems).
• Automating ETL / ELT workflows to improve reliability and efficiency.
• Writing Python (and some Bash) scripts to support data processing and internal tools.
• Building and maintaining dashboards and KPI reports using Looker Studio (and supporting data visualization needs).
• Preparing datasets for simple predictive or forecasting use cases as the team evolves.

This is a hands-on role — you’ll be writing code, fixing issues, improving pipelines, and seeing your work used by real teams.

Qualifications

• 2+ years’ experience in data engineering, analytics engineering, data science, or software engineering.
• Comfortable working with GCP, especially BigQuery.
• Confident in using Python for data processing and automation.
• Solid SQL skills and understanding of data modeling basics.
• Experience building or maintaining data pipelines (batch or streaming).
• Experience with dashboards or BI tools (Looker / Looker Studio preferred).
• Enjoy working across both technical backend tasks and user-facing reporting.

Nice to have

• Experience with Apache Airflow / Cloud Composer.
• Exposure to Apache Beam.
• Familiarity with Vertex AI, AutoML, or basic ML workflows.
• Experience supporting operational or healthcare data.

Salary

$1500 - $1800. Final offer will depend on experience and technical depth.