Data Engineer

About Tides

Tides is a nonprofit and philanthropic organization committed to advancing social justice. We work across the social sector to shift power to communities of color and other groups historically denied power. 

Centering equity and justice in everything we do, we collaborate in deep partnership with movement leaders, nonprofits, donors, foundations, and corporations to amplify the impact of their work by providing services like fiscal sponsorship, donor advised funds, grant making, and a variety of innovative solutions. Learn more at tides.org. 

About the Role  

The Data Engineer at Tides will be pivotal in ensuring seamless data flow across various sources to storage and analysis systems, thereby enabling informed decision-making and operational efficiency. This role involves designing, developing, and managing data integration solutions to harness data as a strategic asset, ultimately driving innovation and efficiency within the organization.

What you will Do 

Design & Development: 

• Create and implement data integration solutions using a range of tools and technologies.

Collaboration: 

• Work with business units and Data Architects to define data requirements and create technical specifications.
• Partner with teams on data-centric projects and document integration processes and procedures in line with organizational standards.

Data Analysis: 

• Analyze data to identify patterns and relationships crucial for integration.
• Maintain security of confidential and proprietary information.

Integration Jobs: 

• Develop jobs that interact with APIs or SFTP sites.

ETL Processes: 

• Design and manage ETL (extract, transform, load) processes to consolidate data into a centralized repository.

Tool Maintenance: 

• Configure and maintain data integration tools and platforms.

Monitoring & Troubleshooting: 

• Oversee data integration jobs and resolve issues as they arise.

Optimization: 

• Enhance integration processes for better performance and scalability.

Innovation: 

• Stay updated on new technologies and methodologies in data integration.

 What you will Bring 

• Data Analysis: Strong capability to analyze data, identify patterns, trends, and relationships, and translate findings into actionable data integration strategies.
• Problem-Solving: Exceptional analytical skills with the ability to troubleshoot and resolve issues related to data integration processes, ETL sessions, workflows, and logs.
• Solution Design: Competence in designing, developing, testing, and deploying data integration solutions that meet business needs and technical specifications.
• ETL Processes: Experience in developing and managing ETL processes to ensure efficient data movement from disparate sources to centralized repositories.
• Tool Configuration & Maintenance: Skills in configuring and maintaining data integration tools and platforms to ensure their optimal performance.
• Performance Optimization: Ability to optimize data integration processes for better performance and scalability.
• Team Collaboration: Ability to work effectively with business stakeholders, Data Architects, and other teams on data-related projects.
• Communication Skills: Strong verbal and written communication skills to document processes, present findings, and collaborate with subject matter experts and team members.
• Technology Awareness: Keep abreast of new data integration technologies and approaches to continuously improve integration processes.
• Learning Agility: Demonstrated aptitude for quickly learning and adapting to new software and systems as required by evolving data needs.
• Detail Orientation: Strong attention to detail in both data analysis and documentation to ensure accuracy and completeness.
• Standards Compliance: Adherence to organizational standards and best practices for data management and integration.

Ideal Experience  

• Bachelor’s degree in Computer Science, Engineering, or a related field. This foundational education provides th