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 design and maintain data pipelines, analyze large datasets for actionable insights, and support cross-functional teams. This role requires 3+ years of experience in data engineering, proficiency in SQL and Python, and familiarity with ETL tools and modern data platforms. The position offers competitive hourly compensation and significant autonomy in a remote environment, making it ideal for self-starters looking to make an impact.

Serviços

Competitive hourly compensation

Possibility for contract extension or full-time conversion

Collaborative team environment

Qualificações

• 3+ years of experience in data engineering or a related field.
• Hands-on experience with modern data platforms.
• Ability to thrive in a fast-paced environment.

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 and solve problems.

Conhecimentos

SQL

Python or another scripting language

Data analysis

Dashboarding and analytics platforms

ETL tools

Data modeling

Problem-solving skills

Communication skills

Collaboration skills

Ferramentas

Snowflake

BigQuery

Redshift

Airflow

dbt

Fivetran

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