Data Services Intern — Hybrid/Remote, Growth Path

Catalist, LLC; Washington, Northern (District of Columbia, KY); Hybrid; USD 23,000 - 32,000; Part time

Benefits offered by this job

Sick Leave Benefits

Hybrid Office/Remote Work

Job summary

Catalist, LLC in Washington, DC is seeking a Data Services Engineer Fellow to support the Data team by handling high-volume work items, monitoring an inbox, and running productionized jobs. The role emphasizes execution, attention to detail, and clear written communication with requestors and teammates.

The position reports to the Director of Data Support and offers hybrid/remote work options with a focus on hands-on experience in a data-driven environment.

Qualifications

• Exceptional attention to detail and accuracy.
• Strong sense of timeliness and reliability in managing a queue of discrete tasks.
• Clear, professional written communication skills, particularly over email.
• Comfort with, or willingness to quickly learn, basic command-line/terminal use.
• Ability to follow documented procedures precisely and consistently.
• Background check required.

Responsibilities

• Monitors a shared inbox and responds to incoming work-item requests promptly and professionally.
• Reads each request carefully to identify the correct productionized script and inputs.
• Checks outputs for completeness and obvious errors before delivering them.
• Communicates status, delays, or questions, and escalates out-of-scope requests as needed.

Skills

Attention to detail

Reliability

Written communication

Command-line familiarity

Following procedures

Background check

Time management

Tools

Unix command-line

Job description

Catalist, LLC in Washington, DC is seeking a Data Services Engineer Fellow to support the Data team by handling high-volume work items, monitoring an inbox, and running productionized jobs. The role emphasizes execution, attention to detail, and clear written communication with requestors and teammates.

The position reports to the Director of Data Support and offers hybrid/remote work options with a focus on hands-on experience in a data-driven environment.