Data Engineer
Backend Developer
Analytics
Business Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
ETL
Informatica
Information Technology (IT)
Integration
Microsoft
Power BI
Power Platform
Programming
Programming Language
Programming Languages
Reporting and Analytics
SQL
Visual Design
Job Description
National Alliance on Mental Illness builds data to strengthen program impact across national, state, and local teams. This hybrid role supports that mission by helping design, build, and operate a central data platform that enables trusted reporting and data-informed decisions.
Responsibilities
- Build and maintain NAMI’s central data warehouse and ELT pipelines by integrating sources across the organization, such as micro-services, Salesforce, and the LMS.
- Cut down manual reporting by enabling richer, on-demand access to data for state organizations, local affiliates, and internal colleagues.
- Partner with stakeholders to stand up curated datasets and self-service reporting that reduce reliance on hand-built affiliate reports.
- Own data reliability by expanding automated quality testing, monitoring, and CI/CD as the platform grows.
- Handle incidents end-to-end from source to dashboard when issues are detected.
- Serve as the team’s first dedicated data engineer, establishing standards, patterns, and review practices that define how NAMI does data.
- Build and operate the broader data platform, including ingestion, transformation, orchestration, and reporting.
- Develop well-modeled transformations using analytics engineering best practices.
- Deliver trusted, well-documented data products that follow established architectural patterns and continuously improve over time.
Requirements
- 3-5 years in data, analytics, or backend engineering.
- Strong proficiency in SQL and Python.
- Experience with version-controlled production ELT/ETL pipelines, including testing and monitoring.
- Solid data modeling knowledge (for example, dimensional modeling and layered architecture).
- Experience with a modern cloud data warehouse.
- Ability to communicate technical concepts clearly to non-technical colleagues.
Technologies
SQL, Python, ELT, ETL, CI/CD, Salesforce, dbt, Fivetran, Airbyte, Dagster, Airflow, Power BI, Tableau, Metabase, LMS
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
- Wellness offerings for team members
- Employee Referral Program
- Employee Assistance Program (EAP) for support with personal and family problems
Work Environment
- Location: Arlington, VA (hybrid; remote or optionally hybrid if preferred)
- Availability during standard business hours with core hours between 10:00 a.m. - 3:00 p.m. ET
- Travel: 10-20%, including overnight
Physical Requirements
Prolonged periods of sitting at a desk and working on a computer.
Salary: USD 95,000 - 105,000 per year.
Minimum Experience: 3 years.
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