Data Engineer, Client Operations & Onboarding

CINC Systems; Colombia; Presencial; COP 40.000.000 - 70.000.000; Jornada completa

Descripción de la vacante

CINC Systems is a fully integrated, cloud‑based homeowners’ association accounting and property management platform. The Data Engineer will support client data onboarding, ensuring accuracy and reliability across data staging, loading, and analysis to benefit implementation teams.

Responsibilities include ETL improvement, data cleansing, and developing SQL-based tooling and Python scripts. You will partner with Project Managers to optimize client deliverables and data sources.

Formación

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent work experience.
• 1+ years of experience in Data Engineering, Data Analysis or Business Analysis, Database development or administration, Tech support.
• Programming or previous Data Engineer work a plus.

Responsabilidades

• Analyze, format and import data by pulling integrated data sets, reformating, and importing into CINC database.
• Support and improve ETL processes, document results, and help build future ETL processes.
• Reporting, data cleansing, and analysis to ensure data is up to date and clean.
• Develop and maintain SQL-based tooling, Python scripts, VBA/Excel macros, and AI-assisted automations.
• Collaborate with Project Managers to manage data sources, reports, tasks, and prioritization.

Conocimientos

SQL

Python

Excel

VBA

Data analysis

Communication

Teamwork

Attention to detail

Educación

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Herramientas

SQL databases

AI-assisted automations

Python scripts

SQL-based tooling

Excel macros

Descripción del empleo

CINC Systems is a fully integrated, cloud‑based homeowners’ association accounting and property management platform. The Data Engineer will support client data onboarding, ensuring accuracy and reliability across data staging, loading, and analysis to benefit implementation teams.

Responsibilities include ETL improvement, data cleansing, and developing SQL-based tooling and Python scripts. You will partner with Project Managers to optimize client deliverables and data sources.