Data Engineer

Design Manager; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading SaaS company is seeking a Data Engineer to build and maintain data pipelines, analyzing data to drive business decisions. You will work independently in a critical role, defining the analytics infrastructure. The ideal candidate has over 3 years of experience, is proficient in SQL and Python, and is skilled in data analysis. This role offers competitive compensation and opportunities for contract extension based on performance and need.

Serviços

Competitive hourly compensation

High-impact role with autonomy

Opportunity to shape data foundations

Qualificações

• 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 that drive business impact.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ETL processes.
• Analyze large datasets to identify trends and actionable insights.
• Collaborate with teams to solve business problems using data.

Conhecimentos

SQL

Python

Data analysis

Dashboarding

Problem-solving

Collaboration

Ferramentas

Snowflake

Power BI

Airflow

Descrição da oferta de emprego

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

• 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

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

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
• Possibility for contract extension or full-time conversion based on performance and business needs