Remote Data Platform Engineer - ETL/ELT & Cloud Analytics

American Diabetes Association; United States; Remote; USD 95,000 - 105,000; Full time

Benefits offered by this job

Generous PTO

Medical, dental, vision benefits

Retirement savings plan

Remote-friendly environment

Mental health programs

Job summary

The American Diabetes Association is seeking a Data Engineer for remote US-based work to design, build, and maintain scalable data platforms and ETL/ELT pipelines supporting enterprise reporting, analytics, and AI initiatives.

You will collaborate with stakeholders, application teams, analysts, and architects to ensure secure, high-quality data movement across systems using tools like MuleSoft, Salesforce Data Cloud/Data360, AWS, Snowflake, and Databricks.

Qualifications

• 3+ years of experience in data engineering, integration development, or related roles leveraging AWS services.
• Experience designing and supporting enterprise ETL/ELT processes.
• Experience with cloud-based data ecosystems and enterprise-scale data platforms.
• Experience building and supporting API integrations.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT processes and data pipelines.
• Build and optimize data ingestion frameworks for structured and unstructured data sources.
• Develop automated workflows to support analytics, reporting, machine learning, and operational data needs.
• Implement data transformation and orchestration processes using modern engineering practices.
• Support enterprise data lake, data warehouse, and cloud data platforms.
• Build and maintain data models that support business intelligence and analytics solutions.
• Optimize storage, processing, and query performance.
• Manage data movement between enterprise applications and cloud environments.
• Implement data quality validation, monitoring, and reconciliation processes.
• Collaborate with data governance teams to establish data standards and best practices.
• Ensure compliance with security, privacy, and regulatory requirements.
• Maintain documentation for data sources, transformations, lineage, and integrations.
• Partner with business stakeholders to understand data requirements and deliver solutions.
• Work closely with analysts, architects, and developers to support reporting and dashboard initiatives.
• Assist in troubleshooting data issues and providing root-cause analysis.
• Support enterprise AI and advanced analytics initiatives through reliable data delivery.

Skills

SQL development

AWS ETL tools

Salesforce CDP

Cloud platforms AWS

Data lakes

Data warehouses

Python

Spark

Airflow

APIs integration

Git CI/CD

DevOps

DataWeave

Education

Bachelor's degree

Job description

The American Diabetes Association is seeking a Data Engineer for remote US-based work to design, build, and maintain scalable data platforms and ETL/ELT pipelines supporting enterprise reporting, analytics, and AI initiatives.

You will collaborate with stakeholders, application teams, analysts, and architects to ensure secure, high-quality data movement across systems using tools like MuleSoft, Salesforce Data Cloud/Data360, AWS, Snowflake, and Databricks.