Software Engineer, Data Engineering

Rocket Lab; São Paulo; Presencial; USD 40.000 - 70.000; Tempo integral

Resumo da oferta

A leading company is seeking a Data Engineer to architect and develop a high-performance data infrastructure. This role involves designing scalable solutions, leading cross-functional collaborations, and mentoring team members, ensuring robust data systems that can support a rapidly growing business.

Serviços

Comprehensive benefits

Opportunity for professional growth

Inclusive community commitment

Qualificações

• 5+ years of experience in data engineering.
• Expertise in SQL and database fundamentals.
• Proficient in Python, Scala, Golang, or Java.

Responsabilidades

• Lead the design of scalable data and BI platform.
• Collaborate with stakeholders to define technical solutions.
• Mentor engineers, driving technical excellence.

Conhecimentos

SQL

Data lakes

Data modeling

Python

APIs

Spark

Kafka

CI/CD

Descrição da oferta de emprego

About the Team

Data is at the core of DoorDash’s success. The Data Engineering team plays a pivotal role in delivering and transforming the data that drives our most critical business decisions. From reporting and product analytics to marketing optimization and financial insights, our work enables teams across the company to make informed, strategic choices. By designing scalable data pipelines, models, and warehouse architectures, we lay the groundwork for a truly data-driven organization.

About the Role

DoorDash is seeking a Data Engineer to architect and lead the development of our next-generation data infrastructure and BI platform. In this role, you'll define the technical vision for large-scale data systems, partner closely with cross-functional teams, and ensure our platforms support the velocity and complexity of a rapidly growing business. You’ll play a critical role in scaling our data engineering practices and mentoring others across the organization.

You’re excited about this opportunity because you will…

• Lead the design and development of a scalable, high-performance data and BI platform that serves tens of thousands of simultaneous users
• Partner with cross-functional stakeholders to understand evolving data needs and define long-term technical solutions
• Drive strategic initiatives around AI, data quality, observability, lineage, and governance
• Introduce and evolve best practices in data modeling, orchestration, testing, and monitoring
• Mentor engineers across the team, driving technical excellence and helping scale our engineering culture
• Identify and champion investments in platform scalability, reusability, and operational efficiency
• Collaborate with product and infrastructure teams to design data solutions that enable rapid experimentation and innovation

We’re excited about you because you have…

• 5+ years of experience in data engineering or a related field, with a proven track record of technical leadership and hands-on implementation
• Expertise in SQL and database fundamentals, with strong experience working with data lakes and warehouses (e.g., Snowflake, Redshift, BigQuery)
• Proficiency in programming languages such as Python, Scala, Golang, or Java
• Experience working with, designing, and implementing different APIs (e.g., REST, SQL, GraphQL) for systems
• Knowledge of analytics tooling and the needs of downstream data consumers
• Knowledge of distributed data processing systems (e.g., Spark, Flink, Presto) and event streaming technologies (e.g., Kafka)
• Familiarity with DevOps practices and CI/CD for data infrastructure
• Strong communication and collaboration skills; able to align stakeholders and influence data strategy
• A passion for building high-quality data systems that deliver trust, performance, and insight

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.

We use Covey as part of our hiring and/or promotional process for jobs in certain locations.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.