Vacantes en Queretaro, México

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

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.

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.

• 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

• 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

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

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

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

Experience : years

Vacancy : 1