Data Engineer III – Information Architecture

Charity Navigator

Data Engineer III responsible for building data pipelines to support analytics at ALSAC. Collaborating with teams to optimize data platforms and drive business intelligence initiatives.

Posted 4/30/2026full-timeRemote • Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudETLJavaNoSQLPythonScalaSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable, optimized data pipelines that support business intelligence and analytics use cases.
Partner with Enterprise, Solution, Technical Architecture, and Infrastructure teams to evolve data platform architecture.
Perform conceptual and logical data modeling to assemble data sets of varying size and complexity.
Develop and manage ETL/ELT processes using AWS and SQL-based technologies.
Implement analytical solutions that generate actionable insights into operational efficiency, donor acquisition, and key business metrics.
Collaborate with data, product, design, and executive stakeholders to support data needs and resolve technical issues.
Serve as a technical lead for Data Engineer I and II teammates by coaching, mentoring, and reinforcing best practices.
Conduct testing and root cause analysis to troubleshoot data quality, performance, and integration issues.
Provide structured and ad‑hoc knowledge sharing and documentation across teams.
Support data access configuration, integrations, and onboarding standards.
Partner with governance and security teams to enable data cataloging, lineage, and discovery.

Requirements

What you’ll need

Bachelor’s degree in Engineering, Information Technology, or a related field plus 5–8 years of relevant experience
Strong proficiency in SQL for development and analysis
Hands‑on experience building and optimizing large‑scale data pipelines and architectures
Solid understanding of dimensional data modeling and data warehousing concepts
Experience sourcing and integrating complex data from multiple systems into a data lake or enterprise data platform
Strong analytical and problem‑solving skills, including root cause analysis of data and processes
Ability to design processes supporting data transformation, orchestration, dependency management, and metadata
Cloud, Tools & Technologies experience with AWS data services, API integration, workflow and orchestration tools, stream processing and big data technologies, relational and NoSQL databases
Experience with CI/CD and DevOps practices
Programming experience in Python, Java, Scala, or C++
Security‑minded approach with experience building compliance‑aware applications
Familiarity with data observability and metadata platforms
Acts as a technical lead and mentor for junior engineers.

Benefits

Comp & perks

Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
401K Retirement Plan with 7% Employer Contribution
Exceptional Paid Time Off
Maternity / Paternity Leave
Infertility Treatment Program
Adoption Assistance
Education Assistance
Enterprise Learning and Development
And more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLETLELTdata modelingdata warehousingdata pipelinesdata transformationPythonJavaScala

Soft Skills

analytical skillsproblem-solvingcoachingmentoringcollaborationcommunicationroot cause analysisknowledge sharingtechnical leadershiporganizational skills