Data Engineer

National Alliance on Mental Illness, VA
$95,000 - $105,000Hybrid

About The Position

NAMI's Data Engineer will build and operate the data platform that helps our national office, state organizations, and hundreds of local affiliates measure program impact, reach underserved communities, and make data-informed decisions. Working on the Software Engineering team, you will work across the full data platform - ingestion, transformation, orchestration, and reporting. This role builds and operates ELT pipelines, develops well-modeled transformations using analytics engineering best practices, and delivers trusted, well-documented data products - executing within established architectural patterns and contributing to their continuous improvement.

Requirements

  • 3-5 years in data, analytics, or backend engineering
  • Proficiency in SQL and Python
  • Experience with version-controlled production ELT/ETL pipelines, including testing and monitoring
  • Solid grasp of data modeling (e.g., dimensional modeling, layered architecture)
  • Experience with a modern cloud data warehouse
  • Communicates technical concepts clearly to non-technical colleagues

Nice To Haves

  • Hands-on experience with a SQL transformation framework such as dbt
  • Exposure to managed ingestion or orchestration tooling (e.g., Fivetran, Airbyte, Dagster, Airflow)
  • Experience with a BI tool such as Power BI, Tableau, or Metabase
  • Experience helping evaluate, adopt, or migrate to new data tooling

Responsibilities

  • Build and operate the data platform that helps our national office, state organizations, and hundreds of local affiliates measure program impact, reach underserved communities, and make data-informed decisions.
  • Work across the full data platform - ingestion, transformation, orchestration, and reporting.
  • Build and operate ELT pipelines.
  • Develop well-modeled transformations using analytics engineering best practices.
  • Deliver trusted, well-documented data products - executing within established architectural patterns and contributing to their continuous improvement.
  • Help leadership measure program impact and make well-informed strategy decisions by building NAMI's central data warehouse and ELT pipeline from sources across the organization (e.g., micro-services, Salesforce, and the LMS).
  • Reduce manual reporting by giving state organizations, local affiliates, and colleagues richer, on-demand access to their data - partnering directly with stakeholders to stand up curated datasets and self-service reporting that replace today's hand-built affiliate reports.
  • Ensure every team can trust the data behind its decisions by expanding automated quality testing, monitoring, and CI/CD as the platform grows - and owning incidents end-to-end, source to dashboard, when something slips through.
  • Set the foundation every future data hire builds on - as the team's first dedicated data engineer, establish the standards, patterns, and review practices that define how NAMI does data.

Benefits

  • Generous and comprehensive Health, Dental, and Vision Plans
  • Paid Time Off: Vacation, Personal, and Sick Leave
  • Paid Parental Leave
  • 403(b) retirement plan
  • Flexible Spending Accounts for health care, dependent care and commuter expenses
  • Life Insurance and Disability coverage paid by NAMI
  • Flexible Work and Telework programs
  • Professional Development Reimbursement program
  • A variety of wellness offerings to support team members
  • Employee Referral Program
  • The Employee Assistance Program (EAP) which provides support for personal and family problems common in contemporary life
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