Data Engineer

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

Resumo da oferta

A leading SaaS company is looking for a Data Engineer to support its product and technology team. This remote position involves building and maintaining data pipelines, analyzing datasets, and collaborating with various teams to derive insights. Candidates should have at least 3 years of data engineering experience and proficiency in SQL and Python. The role offers competitive hourly compensation and the chance to shape the company's data infrastructure.

Serviços

Competitive hourly compensation

High-impact role with autonomy

Opportunity for career development

Collaborative team environment

Qualificações

• Experience with data pipeline orchestration and ETL tools.
• Strong understanding of data warehousing concepts.
• Ability to work independently and with minimal oversight.

Responsabilidades

• Design and maintain scalable data pipelines and ETL processes.
• Analyze large datasets for actionable insights.
• Collaborate with cross-functional teams to define data needs.

Conhecimentos

Data engineering

SQL

Python or another scripting language

Data analysis

Dashboarding tools

ETL processes

Formação académica

3+ years of experience in data engineering or a related field

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