Data Pipeline & Analytics Engineer

Jobs for Humanity
Phoenix, AZ, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Query Performance Airflow Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Cloud Database Data Governance Extract Transform Load (ETL) SQL Databases Workflow Management Systems Apache Spark
+2 more
Data Management Data Pipelines

Job description

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. Job Purpose 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. Job Duties and Responsibilities

  • ETL/ELT (Airflow, dbt or similar)
  • Data pipeline design & optimization
  • Workflow orchestration and monitoring
  • SQL (advanced)
  • Data modeling
  • Big data tools (Spark)
  • Cloud data stacks (AWS/GCP/Azure)
  • Automated data quality monitoring
  • Query performance tuning
  • Analytics-ready models and dashboards
  • 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

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

About the company

Jobs for Humanity is partnering with Elegax to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

5:19 min

Executing queries and scheduling pipeline jobs within DataWorks

Qiyang Duan · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

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