Data Pipeline & Analytics Engineer

Jobs for Humanity•Arizona, AZ

About The Position

Join our team to build and evolve data pipelines and analytics solutions that transform raw data into reliable, governed insights stakeholders can trust and act on. Design, build, and optimize scalable ETL/ELT and analytics-ready data models that improve performance, ensure high data quality through automated monitoring, and enable data-driven decision-making with accessible dashboards and governed datasets.

Requirements

SQL (advanced)
Data modeling
ETL/ELT (Airflow, dbt or similar)
Workflow orchestration and monitoring
Cloud data stacks (AWS/GCP/Azure)
Big data tools (Spark)
Experience improving query performance and reducing processing costs
Experience implementing automated data quality monitoring
Proficiency building analytics-ready models and dashboards
Data governance / data stewardship experience
Strong analytical and problem-solving skills
Excellent communication with technical and non-technical stakeholders
High attention to detail and strong data quality mindset
Demonstrated ownership and continuous improvement

Responsibilities

Design, build, and optimize scalable ETL/ELT and analytics-ready data models
Improve performance
Ensure high data quality through automated monitoring
Enable data-driven decision-making with accessible dashboards and governed datasets
Workflow orchestration and monitoring
Query performance tuning
Data governance and governed datasets
Problem-solving and analytical thinking
Ownership and continuous improvement
Communication with technical and non-technical teams
Attention to detail and data quality mindset
Stakeholder management