Offer summary

Qualifications:

Proficiency in Python, PySpark, and AWS Glue., Experience with machine learning platforms like DataRobot or AWS SageMaker., Hands-on experience with AWS cloud services., Knowledge of ETL processes and data pipelines..

Key responsibilities:

Develop and optimize data pipelines and ETL processes.

Collaborate with data scientists to operationalize machine learning models.

Create visualizations using tools like QuickSight, Tableau, or Power BI.

Ensure code quality through testing and documentation.

Job description

About DonorSearch:
DonorSearch is the leading provider of prospect research solutions that empower nonprofits, educational institutions, and other fundraising organizations to maximize their fundraising efforts. By leveraging AI-powered analytics and extensive wealth and philanthropic databases, we help organizations identify and engage with high-potential donors. We take pride in our innovative solutions, company culture, and commitment to supporting the nonprofit sector.

Job Summary:

We are seeking a dynamic and collaborative Machine Learning Engineer to join our fast-paced team. This role will focus on building and optimizing data pipelines, managing ETL processes, and supporting the implementation of predictive models. You will collaborate closely with data scientists, developers, and stakeholders to enhance our AI-driven solutions.

Key Responsibilities:

• Develop, deploy, and optimize data pipelines and ETL processes using Python, PySpark, AWS Glue, and other AWS services.

• Collaborate with data scientists to operationalize machine learning models using DataRobot or SageMaker.

• Create insightful and actionable visualizations using QuickSight, Tableau, or Power BI.

• Ensure high-quality, reliable code through rigorous testing and documentation.

• Identify and implement opportunities for improved efficiency and performance within our data infrastructure.

• Work proactively within an agile team environment, contributing to sprint planning, execution, and reviews.

Required Key Qualifications:

• Proficiency in Python, PySpark, and AWS Glue.

• Experience with machine learning platforms such as DataRobot or AWS SageMaker.

• Hands-on experience with AWS cloud services.

• Competency in visualization tools like QuickSight, Tableau, or Power BI.

• Knowledge of ETL/data pipeline processes.

• Familiarity with code testing and version control practices (preferred).

• Basic understanding of machine learning modeling techniques.

• Excellent communication skills and a proven ability to collaborate effectively in remote teams.

Preferred Qualifications:

• Prior experience working in nonprofit or fundraising environments.

• Exposure to agile methodologies.

• Strong analytical and problem-solving skills with an eye for continuous improvement.

Eligibility:

Candidates must be legally authorized to work in the United States.

This remote, full-time position offers a annual salary based on experience with an additional performance bonus. We offer a comprehensive and competitive benefits package including medical, dental, and vision insurance with employer subsidy, 401(k) with company match, STD/LTD, voluntary life insurance, 3 weeks’ paid time off, 10 paid holidays, tuition reimbursement program, corporate philanthropy program, 2 in-person all-staff retreats each year, and personal and professional development opportunities.

Salary: $95,000 - $105,000

Join us in transforming philanthropy through the power of AI. Apply now to become a vital part of the DonorSearch AI team!

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