Data engineer

GENTY recruitment; Cuauhtémoc; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A recruitment firm is looking for a Data Engineer to design and maintain data pipelines and analyze large datasets. This remote role offers a competitive hourly rate and significant autonomy in shaping data analytics. Ideal candidates should have 3 years of experience, proficiency in SQL and Python, and a collaborative mindset. Join a mission-driven team and contribute to impactful analytics at a growing SaaS company.

Servicios

High-impact role with significant autonomy

Collaborative team environment

Opportunity to shape data foundation

Formación

• 3 years of experience in data engineering or related field.
• Proficiency in SQL and experience with Python.
• Experience analyzing large datasets and generating actionable insights.

Responsabilidades

• Design, build and maintain scalable data pipelines and ETL processes.
• Analyze large datasets to identify trends and actionable insights.
• Collaborate with teams to define data needs.

Conocimientos

SQL

Python

Data modeling

ETL tools

Dashboarding

Data Warehousing

Problem-solving

Communication

Herramientas

Snowflake

BigQuery

Redshift

Airflow

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 we’ve 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 we’re investing heavily in our data infrastructure to enhance product capabilities and improve client outcomes.

About the Role

We’re seeking a skilled Data Engineer to support our product and technology. This role you'll be responsible for building and maintaining data pipelines, analyzing data, and enabling data-driven decision-making across the organization. You'll be the first and only dedicated data analytics team member, so we’re looking for someone with an entrepreneurial mindset who is comfortable operating independently, defining structure, and solving complex data challenges.

What You’ll 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

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

Key Skills

• Apache Hive
• S3
• Hadoop
• Redshift
• Spark
• AWS
• Apache Pig
• NoSQL
• Big Data
• Data Warehouse
• Kafka
• Scala

Experience : years

Vacancy : 1