Junior Data Engineer & Application Support Associate

Harding Loevner LP; Bridgewater Township (NJ); On-site; USD 80,000 - 90,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan

Paid time off

Flexible spending account (FSA)

Wellness programs

Job summary

Harding Loevner LP seeks a Junior Data Engineer & Application Support Associate to join the firm’s Data Strategy & Automation team. You will support day-to-day data operations, maintain data pipelines and web applications, and help ensure reliable data delivery across the organization.

Working with senior team members, you will gain hands-on exposure to data engineering, software engineering, and quantitative technology solutions, building a solid foundation for growth, with a

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Information Technology, or a related field.
• 0–3 years of experience in application support, data operations, business systems, or a related technical role.
• Experience with Python and AI coding applications (Codex, Claude Code), GitHub and SQL databases.

Responsibilities

• Perform day-to-day administration of internally developed web applications and data tools.
• Respond to user requests, troubleshoot issues, and provide first-line application support.
• Investigate reported bugs, document findings, and coordinate resolution with development teams.
• Maintain application configurations, permissions, and user access.
• Monitor application health and accelerate issues when appropriate.
• Assist with software releases, testing, and production deployments.
• Monitor scheduled data pipelines and daily processing jobs.
• Investigate failed jobs and perform routine troubleshooting.
• Execute established operational procedures for pipeline support and data validation.
• Coordinate with senior engineers on recurring issues and long-term improvements.
• Perform routine maintenance activities to ensure reliable data delivery.
• Document support procedures and maintain operational runbooks.
• Track support requests and provide timely updates to stakeholders.
• Identify recurring issues and recommend opportunities for process improvement.
• Assist with user acceptance testing (UAT) and validation of application enhancements.
• Support data quality checks and routine operational controls.

Skills

Python

AI coding

GitHub

SQL

Education

Bachelor's degree

Job description

Harding Loevner is seeking a Junior Data Engineer & Application Support Associate to join the firm's Data Strategy & Automation team. This role supports the firm's day-to-day data operations and business applications, helping ensure the reliable delivery of data and technology services across the organization. The position combines application support, data pipeline and web application maintenance, reporting, issue investigation, and operational administration in support of the firm's technology and data platforms.

Through close collaboration with senior team members, this position offers exposure to a broad range of data and application support activities and opportunities to develop technical expertise through hands-on experience. It is well suited for a technically curious and analytical problem solver with up to three years of experience and provides a strong foundation for growth into areas such as data engineering, software engineering, or quantitative technology solutions.

Responsibilities include:

Application Support & Administration

• Perform day-to-day administration of internally developed web applications and data tools.
• Respond to user requests, troubleshoot issues, and provide first-line application support.
• Investigate reported bugs, document findings, and coordinate resolution with development teams.
• Maintain application configurations, permissions, and user access.
• Monitor application health and accelerate issues when appropriate.
• Assist with software releases, testing, and production deployments.

Data Pipeline Operations

• Monitor scheduled data pipelines and daily processing jobs.
• Investigate failed jobs and perform routine troubleshooting.
• Execute established operational procedures for pipeline support and data validation.
• Coordinate with senior engineers on recurring issues and long-term improvements.
• Perform routine maintenance activities to ensure reliable data delivery.

Operational Support

• Document support procedures and maintain operational runbooks.
• Track support requests and provide timely updates to stakeholders.
• Identify recurring issues and recommend opportunities for process improvement.
• Assist with user acceptance testing (UAT) and validation of application enhancements.
• Support data quality checks and routine operational controls.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Information Technology, or a related field.
• 0–3 years of experience in application support, data operations, business systems, or a related technical role.
• Experience working with Python and AI coding applications (Codex, Claude Code), GitHub as well as SQL or related databases.
• Strong analytical and problem-solving skills, with the ability to diagnose and resolve technical issues.
• Strong communication skills, including the ability to document procedures and explain technical concepts to non-technical users.
• Ability to manage multiple priorities and support day-to-day operational requests in a fast-paced environment.
• Experience supporting business applications or reporting tools is a plus.

The annual base salary range for this position is $80,000-$90,000. The firm's total compensation program includes an annual base salary, an annual discretionary performance-based bonus, a remunerative long-term incentive plan, and a comprehensive benefits package that includes medical, dental, and vision insurance; a 401(k) retirement plan; paid time off; a flexible spending account (FSA) program; and access to various wellness and employee assistance programs.

The actual base salary will be determined based on a variety of factors, including, but not limited to, relevant experience, skills, education, and other job-related considerations.