Enterprise Data Warehouse Engineer

Summary:

Overview

The Enterprise Data Warehouse Engineer will play a critical role in designing, building, and maintaining the ASPCA’s enterprise data warehouse ecosystem. This role will be part of the Enterprise Data Engineering Operations team, which sits within the broader Product, Data, and Reporting Solutions (PDRS) department. The Engineer will develop and maintain dbt models and data workflows across the medallion architecture, integrate master data management (MDM) workflows into enterprise pipelines, and partner with cross functional stakeholders to support the ASPCA’s transition from siloed systems to a centralized enterprise data solution. 

Reporting to the Director, Enterprise Data Engineering Operations, the Enterprise Data Warehouse Engineer will ensure that data assets are accurate, performant, reliable, and aligned with organizational standards. The ideal candidate will combine strong technical skills with a collaborative mindset, thriving in a distributed data environment where clarity, consistency, and data quality are essential. 

Who We Are

The Information Technology (IT) department supports and improves a broad portfolio of technologies to support our staff. IT ensures that all ASPCA staff, partners, and communities have the systems needed to work effectively and efficiently to improve animal welfare. The sub-teams within IT include Product, Data and Reporting Solutions, Operations and Information Security, Technical Support, Enterprise Architecture, and Business Operations.

What You’ll Do

Enterprise Data Warehouse Engineer reports directly to the Director, Enterprise Data Engineering Operations and has no direct reports.

Where and When You’ll Work

This remote‑based position (which may require periodic travel as described below) is open to all eligible candidates based within the United States. 

What You’ll Get

Compensation

Starting pay for the successful applicant will depend on a variety of factors, including but not limited to education, training, experience, location, business needs, internal equity, market demands or budgeted amount for the role. The target hiring range is for new hire offers only, and compensation may increase beyond the maximum hiring range based on performance over time. The maximum of the hiring range is reserved for candidates with the highest qualifications and relevant experience. The expected hiring salary ranges for this role are set forth below and may be modified in the future.   

• $125,000-$130,000 annually

For more information on our benefits offerings, visit our website.  

Benefits

At the ASPCA, you don’t have to choose between your passion and making a living. Our comprehensive benefits package helps ensure you can live a rewarding life at work and at home. Our benefits include, but are not limited to:

• Affordable health coverage, including medical, employer-paid dental and optional vision coverage.

• Flexible time off that includes vacation time, paid personal time, sick time, bereavement time, paid parental leave, and 10 company paid holidays that allows you even more flexibility to observe the days that mean the most to you.

• Competitive financial incentives and retirement savings, including a 401(k) plan with generous employer contributions — we match dollar-for-dollar up to 4% and provide an additional 4% contribution toward your future each year.

• Robust professional development opportunities, including classes, on-the-job training, coaching and mentorship with industry-leading peers, internal mobility, opportunities to support in the field and so much more.

Please note, a cover letter is requested. Applications will be accepted until 5pm ET on Thursday April 16, 2026.

Responsibilities:

Responsibilities

Responsibility buckets are listed in general order of importance. They include, but are not limited to:

Medallion Layer Data Modeling and Development

• Architect, implement, and maintain dbt models across the medallion architecture, applying appropriate transformation patterns to meet operational, analytical, and dimensional data requirements 

• Integrate MDM workflows and reference data into medallion-layer transformations in alignment with enterprise da