Remote Data Platform Engineer – Impactful Analytics

Tech Jobs for Good; Arlington (VA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health/Dental/Vision plans

PTO and Sick Leave

403(b) retirement plan

Flexible Spending Accounts

Job summary

NAMI seeks a Data Engineer to design and operate the data platform that supports national office, state organizations, and affiliates. You will build ELT pipelines, craft well-modeled transformations, and deliver trusted data products for reporting and decision making.

You will work across ingestion, transformation, orchestration, and reporting within a modern cloud data warehouse, collaborating with Engineering, Salesforce, Programs & Services, the Success Team, and the Data Team.

Qualifications

• 3–5 years in data, analytics, or backend engineering.
• Proficiency in SQL and Python.
• Experience with version-controlled ELT/ETL pipelines including testing and monitoring.
• Solid grasp of data modeling.
• Experience with a modern cloud data warehouse.
• Clear communication of technical concepts to non-technical colleagues.

Responsibilities

• Build and operate the central data warehouse and ELT pipeline from sources across the organization.
• Reduce manual reporting by delivering curated datasets and self-service reporting.
• Expand automated quality testing, monitoring, and CI/CD; own incidents end-to-end.
• Set standards and patterns as the team's first dedicated data engineer.

Skills

SQL

Python

ETL pipelines

dbt

Airflow

Data modeling

Cloud data warehouse

Tools

Power BI

Tableau

Metabase

Job description

NAMI seeks a Data Engineer to design and operate the data platform that supports national office, state organizations, and affiliates. You will build ELT pipelines, craft well-modeled transformations, and deliver trusted data products for reporting and decision making.

You will work across ingestion, transformation, orchestration, and reporting within a modern cloud data warehouse, collaborating with Engineering, Salesforce, Programs & Services, the Success Team, and the Data Team.