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Data Scientist jobs in Brazil

Data Engineer, Corporate Data

Rocket Lab

São Paulo
On-site
BRL 120,000 - 160,000
30+ days ago
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Operations Data Specialist

Houston Texans

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago

Analista de Dados Sênior (BI)

Memed Software

São Paulo
Hybrid
BRL 80,000 - 120,000
30+ days ago

Senior Software Engineer - Data

WEX

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago

IT Analyst III (Java)

Santander USA

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago
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Analista de Dados / BI Pleno - Call Center

Home Agent

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago

Data Analyst

Houston Texans

São Paulo
On-site
BRL 60,000 - 90,000
30+ days ago

Analista de Dados e Performance Operacional

Banco ABC Brasil

São Paulo
Hybrid
BRL 80,000 - 120,000
30+ days ago
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Data Analyst PL

Keyrus US

São Paulo
On-site
BRL 120,000 - 160,000
30+ days ago

Data Engineer, Brazil - X Delivery

The Boston Consulting Group GmbH

São Paulo
On-site
BRL 80,000 - 120,000
30+ days ago

Data Engineer

Betsson Group

São Paulo
Hybrid
BRL 162,000 - 245,000
30+ days ago

Data Engineer

Betsson AB

São Paulo
Hybrid
BRL 120,000 - 180,000
30+ days ago

Senior Data Engineer, Business Analytics - Brazil

JumpCloud

São Paulo
On-site
BRL 40,000 - 70,000
30+ days ago

Senior Data Engineer

Halliburton

Rio de Janeiro
On-site
BRL 30,000 - 50,000
30+ days ago

Engenheiro de Dados

Lanlink

Fortaleza
On-site
BRL 120,000 - 150,000
30+ days ago

Data Engineer 2 Senior (SQUAD Data Enablement - JIA)

Tata Consultancy Services

Barueri
On-site
BRL 70,000 - 110,000
30+ days ago

Data Engineer Pleno

Tata Consultancy Services

Barueri
On-site
BRL 80,000 - 120,000
30+ days ago

Data Engineer Pleno

Franq Openbank

Florianópolis
On-site
BRL 120,000 - 180,000
30+ days ago

Analista de Dados - Foco em Modelagem de risco de crédito

Franq Openbank

Florianópolis
On-site
BRL 80,000 - 120,000
30+ days ago

Senior Data Engineer

2K

São Paulo
On-site
USD 60,000 - 90,000
30+ days ago

Data Engineer, Corporate Data

DoorDash Brazil

São Paulo
On-site
BRL 120,000 - 160,000
30+ days ago

Data Engineer

DoorDash Brazil

São Paulo
On-site
BRL 120,000 - 180,000
30+ days ago

Analista de Dados - Foco em Associação e Contas

Sicredi

Porto Alegre
On-site
BRL 60,000 - 80,000
30+ days ago

Engenheiro de Dados - Foco em Crédito

Sicredi

Porto Alegre
On-site
BRL 20,000 - 80,000
30+ days ago

R&D Senior EM Scientist/Engineer

Halliburton

Rio de Janeiro
On-site
BRL 80,000 - 120,000
16 days ago

Top job titles:

Analista De Logistica jobsAnalista De Suporte jobsAutomacao Industrial jobsFiscal De Loja jobsAnalista De Processos jobsClinica Medica jobsDeficiente Fisico jobsAuxiliar De Engenharia jobsConsultor Sap jobsContas A Receber jobs

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Data Engineer, Corporate Data
Rocket Lab
São Paulo
On-site
BRL 120,000 - 160,000
Full time
30+ days ago

Job summary

Rocket Lab is on the lookout for a skilled Data Engineer to join their People Analytics team in São Paulo. This role will focus on building data infrastructure, supporting analytics, and ensuring data integrity across various people metrics. Candidates should possess strong SQL and cloud architecture experience, coupled with a passion for data-driven insights and problem-solving. Join us to help shape the future of talent management at Rocket Lab.

Benefits

Comprehensive health benefits
Great compensation packages
Autonomy in decision-making

Qualifications

  • 5+ years of experience in data engineering or software engineering.
  • Expert SQL skills and experience writing complex queries.
  • Proficiency in deploying cloud architecture like dbt and Airflow in AWS.

Responsibilities

  • Architect and engineer data infrastructure for People data.
  • Develop ETL pipelines using tools such as Airflow and dbt.
  • Support self-service analytics projects by creating secure data structures.

Skills

SQL
Data Engineering
Cloud Architecture
ETL Pipelines
Data Observability

Education

Bachelor's Degree in Computer Science or related field

Tools

dbt
Airflow
Databricks
Job description
About the Team

At DoorDash, people are our most important asset. We build the capability to help our leaders make more informed decisions on identifying, attracting, developing, and retaining talent. We’re looking for a Data Engineer to help us scale our analytics alongside DoorDash’s enormous growth. Come build, experiment, and grow while shaping a best-in-class data team at DoorDash.

About the Role

DoorDash is seeking an experienced data engineer to join our People Analytics team. We’re a data-driven organization, empowering local economies and our people to do the best work of their careers. This role will get in on the ground floor helping to build and support the data infrastructure powering our data-driven insights to attract, develop, and retain the best talent to power and grow DoorDash. You will support and scale our people reporting and analytics within the People Team. In this role, you will partner with a team of analysts, scientists, and engineers to develop the tools and insights for our people and decision-makers. Come help us enable our business to garner insights and be a builder, engineer, consultant, and security/privacy advocate.

You’re excited about this opportunity because you will…
  • Architect and engineer our data infrastructure for People data
  • Design and implement data warehouse schemas, tables, and views to provide a source of true datasets
  • Develop ETL pipelines using tools such as Airflow and dbt for data profiling, cleaning, and transformation
  • Support self-service analytics projects by creating secure data structures
  • Provide underlying data support for all People metrics (recruiting pipelines, attrition, employee engagement, diversity and inclusion, compensation and benefits, etc.)
  • Ensure data integrity across all People data
  • Rigorously document system requirements and configuration to build operational excellence
  • Understand and identify opportunities to improve, working closely with cross-functional teams
  • Train peers on new processes and functionality as needed
  • Help build data governance with a single source of truth
We’re excited about you because you have…
  • 5+ years of industry experience in data engineering or software engineering
  • Experience deploying cloud architecture like dbt, Airflow, and Databricks in AWS
  • Expert SQL skills and experience writing complex queries
  • Proficiency authoring Airflow DAGs
  • Experience with data observability and monitoring frameworks
  • Strong business thinker, able to use ‘first principles’ to solve challenging business problems at their root level
  • Data-driven, able to analyze data with strong attention to detail and accuracy, and passionate about telling the story behind the data hence turning the data into insight
Why You’ll Love Working at DoorDash
  • We are a technologically and data-driven business
  • We are committed to our clients and connected through our vision of “Delivering Good”
  • We love solving problems, thinking creatively, and trying new things
  • We believe in autonomy & taking the initiative
  • We are challenged, developed, and have a meaningful impact
  • We take what we do seriously. We don’t take ourselves seriously
  • We have a smart, experienced leadership team that wants to do it right & is open to new ideas
  • We offer great compensation packages and comprehensive health benefits
  • You will be proud to say that you work for DoorDash and will know that the work you do brings joy to our clients every day

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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