Job Title: Data Engineer
Location: Remote (Brazil)
Employment Type: Full Time
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 team. In 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
1. Design, build, and maintain scalable data pipelines and ETL processes
2. Clean, validate, and structure raw data from various sources to ensure data quality and usability
3. Analyze large datasets to identify trends, patterns, and actionable insights that support business decision-making
4. Build and maintain dashboards, reports, and visualizations to communicate key performance metrics to stakeholders
5. Work cross-functionally with teams (e.g., finance, operations, marketing) to define data needs and solve business problems using data
6. Collaborate with engineering and product teams to understand and meet data requirements
7. Develop data models and schemas for analytics and reporting
8. Monitor, troubleshoot, and optimize data pipelines for performance and reliability
9. Support the design and implementation of a modern data warehouse architecture
10. Ensure data quality, governance, and security best practices are followed
11. 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
Qualifications
12. 3+ years of experience in data engineering or a related field
13. Proficiency in SQL and experience with Python or another scripting language
14. Experience analyzing large datasets and generating insights that drive business impact
15. Familiarity with dashboarding and analytics platforms such as Mode, Power BI, or similar
16. Hands-on experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift)
17. Experience with ETL tools (e.g., Airflow, dbt, Fivetran) and data pipeline orchestration
18. Strong understanding of data warehousing concepts and data modeling
19. Excellent problem-solving, communication, and collaboration skills
* Ability to thrive in a fast-paced environment with minimal oversight
Nice to Have
20. Experience in SaaS or B2B software environments
* Exposure to finance or accounting domains
Why Join Us
21. Competitive hourly compensation
22. High-impact role with significant autonomy and visibility
23. Opportunity to shape the foundation of data and analytics at a growing SaaS company
24. Collaborative and mission-driven team environment
* Possibility for contract extension or full-time conversion based on performance and business needs