Data Engineer

Genty Recruitment; Colima; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading recruitment agency is seeking a skilled Data Engineer for a remote position. You will build and maintain data pipelines, analyze large datasets, and enable data-driven decision-making. With 3 years of experience in data engineering, proficiency in SQL and Python, and strong problem-solving skills, you'll play a critical role in shaping the data and analytics foundation at this growing SaaS company.

Servicios

Competitive hourly compensation

High-impact role with significant autonomy

Collaborative team environment

Formación

• 3 years of experience in data engineering or a related field.
• Experience analyzing large datasets and generating insights.
• Strong understanding of data warehousing concepts.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ETL processes.
• Clean, validate, and structure raw data for usability.
• Analyze large datasets to identify trends and actionable insights.

Conocimientos

Data engineering

SQL

Python

Data analytics

Dashboarding

Data modeling

Problem-solving

Collaboration

Herramientas

Snowflake

BigQuery

Redshift

Airflow

dbt

Fivetran

Power BI

Descripción del empleo

This is a remote position.

Job Title : Data Engineer

Location : Remote

Employment Type : Contractor via Deel (full-time 40 hours per week)

Compensation : Competitive hourly rate commensurate with experience

About Design Manager

Design Manager (DesignSpec) is a leading provider of project management and accounting software tailored specifically for interior design firms. For over 30 years weve helped thousands of designers run more efficient profitable businesses with our cloud-based platform that integrates purchasing budgeting time tracking and client communication in one seamless solution. As we grow were investing heavily in our data infrastructure to enhance product capabilities and improve client outcomes.

About the Role

Were seeking a skilled Data Engineer to support our product and technology this role youll be responsible for building and maintaining data pipelines analyzing data and enabling data-driven decision-making across the organization. Youll be the first and only dedicated data analytics team member so were looking for someone with an entrepreneurial mindset who is comfortable operating independently defining structure and solving complex data challenges.

What Youll Do

• Design build and maintain scalable data pipelines and ETL processes
• Clean validate and structure raw data from various sources to ensure data quality and usability
• Analyze large datasets to identify trends patterns and actionable insights that support business decision-making
• Build and maintain dashboards reports and visualizations to communicate key performance metrics to stakeholders
• Work cross-functionally with teams (e.g. finance operations marketing) to define data needs and solve business problems using data
• Collaborate with engineering and product teams to understand and meet data requirements
• Develop data models and schemas for analytics and reporting
• Monitor troubleshoot and optimize data pipelines for performance and reliability
• Support the design and implementation of a modern data warehouse architecture
• Ensure data quality governance and security best practices are followed
• Work with third-party APIs and internal tools to extract transform and load data
• Demonstrate an entrepreneurial self-starter attitude as the inaugural data analytics hire

Requirements

Qualifications

• 3 years of experience in data engineering or a related field
• Proficiency in SQL and experience with Python or another scripting language
• Experience analyzing large datasets and generating insights that drive business impact
• Familiarity with dashboarding and analytics platforms such as Mode Power BI or similar
• Hands‑on experience with modern data platforms (e.g. Snowflake BigQuery Redshift)
• Experience with ETL tools (e.g. Airflow dbt Fivetran) and data pipeline orchestration
• Strong understanding of data warehousing concepts and data modeling
• Excellent problem-solving communication and collaboration skills
• Ability to thrive in a fast‑paced environment with minimal oversight

Nice to Have

• Experience in SaaS or B2B software environments
• Exposure to finance or accounting domains

Benefits

Why Join Us

Competitive hourly compensation

High-impact role with significant autonomy and visibility

Opportunity to shape the foundation of data and analytics at a growing SaaS company

Collaborative and mission-driven team environment