Software Engineer, BI Platform

DoorDash; São Paulo; Presencial; BRL 429.000 - 538.000; Tempo integral

Resumo da oferta

A leading logistics company in São Paulo is seeking a Software / Data Engineer to architect, build, and scale its Business Intelligence platform. You will play a pivotal role in designing robust interfaces and modeling data to support thousands of users daily. Candidates should have over 5 years of software engineering experience, expertise in SQL, and strong familiarity with tools like dbt and Snowflake. Collaboration with analytics and product teams is essential, as well as optimizing BI platform performance.

Serviços

Comprehensive benefits

Support for well-being

Diversity and inclusion initiatives

Qualificações

• 5+ years of experience in software engineering, data engineering, or analytics engineering.
• Deep expertise in SQL and building BI platforms.
• Strong hands-on experience with dbt and data warehouses like Snowflake.

Responsabilidades

• Design, build, and scale a company-wide BI platform.
• Own and evolve the semantic layer.
• Architect data models with a focus on performance and reusability.

Conhecimentos

SQL

Data modeling

Software engineering

Data engineering

CI/CD

Automation

Excellent communication

Ferramentas

ThoughtSpot

dbt

Snowflake

Descrição da oferta de emprego

About the Team

Data is at the core of DoorDash’s success. The Data Engineering and BI Platform team builds and operates the foundational data infrastructure and analytics platforms that power decision‑making across the company. Our work enables tens of thousands of internal users, from operators and product managers to finance and marketing leaders, to reliably explore, analyze, and act on data at scale.

We own the end‑to‑end analytics experience: from data modeling and transformation, to semantic layers and metrics, to governed self‑service BI. By investing in scalable architecture, strong abstractions, and developer‑friendly tooling, we enable DoorDash to operate as a truly data‑driven organization.

About the Role

DoorDash is seeking a Software / Data Engineer to help architect, build, and scale our next‑generation Business Intelligence platform. In this role, you will own the core of the analytics platform that thousands of users rely on daily. You’ll design robust interfaces, semantic models, define metric standards, and ensure high performance, governance, and trust across our BI ecosystem. You will partner closely with Analytics, Product, Finance, and Data Engineering teams to translate complex business needs into scalable, reusable data abstractions within our Semantic Layer. This role sits at the intersection of data engineering, analytics engineering, and platform engineering, and is ideal for someone excited about building durable analytics foundations.

You’re excited about this opportunity because you will…

• Design, build, and scale a company‑wide BI platform powered by the best visualization and modeling tools, supporting tens of thousands of concurrent users
• Own and evolve the semantic layer, ensuring consistent, trusted definitions across the business
• Architect projects, data models, and marts with a strong focus on performance, reusability, and governance
• Partner with Analytics, Data Engineering, and business stakeholders to understand data consumption patterns and translate them into scalable platform capabilities
• Drive platform initiatives around data quality, testing, observability, lineage, and access control
• Establish and enforce best practices for analytics engineering, including modeling patterns, governance, documentation, and CI/CD
• Optimize BI performance across the stack (warehouse, data models, semantic layer, and SQL queries)
• Enable and empower downstream users through strong abstractions, documentation, and self‑service capabilities
• Mentor and influence engineers and analytics partners, raising the technical bar for analytics platform development
• Identify and champion investments that improve platform reliability, scalability, and developer velocity

We’re excited about you because you have…

• 5+ years of experience in software engineering, data engineering, or analytics engineering, with meaningful ownership of production data platforms
• Deep expertise in SQL and data modeling for analytics use cases
• Strong hands‑on experience with dbt, including:
• Hands‑on experience designing or scaling a BI platform, with a strong preference for ThoughtSpot (Looker, Tableau, Superset acceptable if paired with modern modeling experience)
• Experience building and maintaining semantic layers or metrics frameworks used by many teams
• Solid experience with modern data warehouses (e.g., Snowflake or Databricks strongly preferred; Redshift or BigQuery acceptable)
• Proficiency in at least one programming language (e.g., Python, Java, Scala, or Go) for data tooling, automation, or platform services
• Strong understanding of analytics consumption patterns and the needs of analysts, data scientists, and business users
• Experience with CI/CD, version control, and DevOps practices applied to analytics and data platforms
• Excellent communication skills and the ability to influence technical and non‑technical stakeholders

Nice to Haves

• Experience building and scaling data platforms in a high‑growth, fast‑paced environment
• Experience designing and scaling ELT/ETL frameworks with orchestration tools like Airflow, Dagster, or similar platforms
• Exposure to data mesh concepts or domain‑oriented data architecture
• A systems mindset—comfortable thinking at both the architectural and implementation level
• Hands‑on experience with data observability tools and practices

Interviews will be conducted in English.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door‑to‑door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well‑being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.