Data Engineer - Business Intelligence
To see similar active jobs please follow this link: Remote Development jobs
Role Description
Are you passionate about solving complex business challenges with data? Do you thrive at the intersection of business strategy and technical expertise? As a Business Intelligence Engineer, you'll have the opportunity to design, build, and deliver data-driven solutions that empower teams to make smarter, faster decisions.
Join us and help create impactful insights and scalable tools that shape how we grow, market, and deliver world-class products to our customers. This role is perfect for someone who loves turning messy data into actionable insights and building lasting partnerships across diverse teams.
A successful candidate will have passion for creating accessible and intuitive data models, knowledge of data warehouse modeling best practices and tradeoffs (dimensional data modeling, Kimball, Inmon, etc.), an obsession with data quality and cleanliness, an expertise in data visualization best practices, understanding the right design approach to use for a given audience, and customer obsession and accountability to partners. Their problems are your problems.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities
Partner Strategically: Collaborate with Product, Marketing, Sales, and Engineering teams to understand their goals and challenges. Your work will directly influence decision-making across the organization.
Build Solutions: Design, develop, and maintain reliable data pipelines and models that turn raw data into meaningful insights. Your work will simplify complex concepts into user-friendly dashboards and visualizations.
Drive Impact: Identify trends, diagnose problems, and craft solutions using metrics, reporting tools, and predictive models.
Ensure Quality: Maintain high standards for data governance, privacy, and security while ensuring data quality and reliability.
Communicate Insights: Translate data into compelling stories, empowering stakeholders at all levels to take action.
Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
Requirements
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
5+ years of Python development experience
5+ years of SQL experience (Spark and Snowflake-specific SQL is a plus)
5+ years of experience with schema design, dimensional data modeling, and scalable data architecture
Demonstrable track record managing, communicating, and collaborating with internal clients on data platform plans and capabilities
Experience designing, building and maintaining data processing systems
Experience working with data at significant scale and optimizing queries and pipelines
Experience with BI tools (Tableau, PowerBI, etc) and dbt is a plus.
Preferred Qualifications
4+ years of Spark SQL and non-SQL Spark development experience
4+ years of Snowflake development experience
4+ years of development of Airflow data pipelines
4+ years of Databricks platform experience including Spark and Databricks development tooling
Compensation
About the job
Data Engineer - Business Intelligence
To see similar active jobs please follow this link: Remote Development jobs
Role Description
Are you passionate about solving complex business challenges with data? Do you thrive at the intersection of business strategy and technical expertise? As a Business Intelligence Engineer, you'll have the opportunity to design, build, and deliver data-driven solutions that empower teams to make smarter, faster decisions.
Join us and help create impactful insights and scalable tools that shape how we grow, market, and deliver world-class products to our customers. This role is perfect for someone who loves turning messy data into actionable insights and building lasting partnerships across diverse teams.
A successful candidate will have passion for creating accessible and intuitive data models, knowledge of data warehouse modeling best practices and tradeoffs (dimensional data modeling, Kimball, Inmon, etc.), an obsession with data quality and cleanliness, an expertise in data visualization best practices, understanding the right design approach to use for a given audience, and customer obsession and accountability to partners. Their problems are your problems.
Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.
Responsibilities
Partner Strategically: Collaborate with Product, Marketing, Sales, and Engineering teams to understand their goals and challenges. Your work will directly influence decision-making across the organization.
Build Solutions: Design, develop, and maintain reliable data pipelines and models that turn raw data into meaningful insights. Your work will simplify complex concepts into user-friendly dashboards and visualizations.
Drive Impact: Identify trends, diagnose problems, and craft solutions using metrics, reporting tools, and predictive models.
Ensure Quality: Maintain high standards for data governance, privacy, and security while ensuring data quality and reliability.
Communicate Insights: Translate data into compelling stories, empowering stakeholders at all levels to take action.
Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
Requirements
BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
5+ years of Python development experience
5+ years of SQL experience (Spark and Snowflake-specific SQL is a plus)
5+ years of experience with schema design, dimensional data modeling, and scalable data architecture
Demonstrable track record managing, communicating, and collaborating with internal clients on data platform plans and capabilities
Experience designing, building and maintaining data processing systems
Experience working with data at significant scale and optimizing queries and pipelines
Experience with BI tools (Tableau, PowerBI, etc) and dbt is a plus.
Preferred Qualifications
4+ years of Spark SQL and non-SQL Spark development experience
4+ years of Snowflake development experience
4+ years of development of Airflow data pipelines
4+ years of Databricks platform experience including Spark and Databricks development tooling