Engineering the future of logistics – from Brazil to the world

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

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

Engineering the future of logistics – from Brazil to the world

This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas).

At DoorDash, we believe diverse teams build better products. We are committed to providing an accessible, inclusive workplace with equal opportunities for all.

Reasonable accommodations are available throughout the hiring process and in the work environment. If you require any accommodation, please inform your recruiter at the beginning of the process.

Medical documentation may be requested in accordance with applicable legislation.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

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

Engineering the future of logistics – from Brazil to the world

This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.

We are building an engineering team where women have equitable access to opportunity, leadership, and long-term career growth within our São Paulo hub.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

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

Estamos em busca de talentos para construir o futuro da nossa plataforma de dados

Estamos construindo a próxima geração da nossa plataforma de dados, com foco em escalabilidade, segurança e autonomia para as áreas de negócio. Essa evolução vai além da tecnologia: envolve também a integração entre os times do PAN e BTG, criando uma plataforma única que conecte organizações e potencialize a colaboração. Se você gosta de desafios complexos, arquitetura robusta e impacto direto na tomada de decisão, essa vaga é para você.

Principais desafios:

• Atuar junto a times de Engenharia de Dados e áreas de negócio de canais digitais a fim de arquitetar, implementar e gerenciar pipelines de Big Data;
• Desenvolver fluxos de ingestão de dados e construção de tabelas analíticas para o consumo de outras áreas de tecnologia e de negócios;
• Fazem parte das atividades diárias da área a utilização de tecnologias como: AWS cloud (S3, EMR, EC2, Athena, Lambda, Kinesis, Redshift, etc), Google Cloud (Bigquery, Cloud Function, Storage, Logging, Scheduler, Dataflow, Pub/Sub, Compute Engine, etc), outras ferramentas de Big Data (Airflow, NiFi, Kafka, Spark, Hive, Presto, etc), Python e SQL

Quais as principais competências para a posição?

• Ser uma referência técnica em Engenharia de Dados para o time
• Contribuir com ideias e soluções para reduzir complexidades
• Procura entender as prioridades do time e das demais áreas para propor soluções técnicas
• Organizado com suas tarefas e atento aos alinhamentos do time interno
• Procurar constante aperfeiçoamento e buscar aprender novas ferramentas/técnicas visando eficiências
• Conhecer, respeitar e observar os processos e boas práticas da área para a sua atuação
• Cultiva bons relacionamentos dentro e fora da área e é solícito ao ser procurado para ajudar

Modelo de atuação: Híbrido (2 dias presenciais no escritório e 3 dias home office).

Benefícios do PAN:

• Bônus / PLR 
• Vale Refeição 
• Vale Alimentação 
• 13º de Vale Alimentação 
• Convênio Médico (internação em apartamento para titular e dependentes) 
• Convênio Odonto/Ortodôntico 
• Ambulatório Médico no escritório 
• Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 
• Seguro de Vida 
• Descontos em mais de 10 mil farmácias 
• 4 Sessões de psicoterapia por mês 
• Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 
• Auxílio Creche / Babá 
• AcomPANha (programa de acompanhamento para gestantes) 
• Wellhub/Totalpass 
• Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 
• Programas de desenvolvimento 
• Massagem e Auriculoterapia
• Salão de beleza no escritório 
• PAE (Orientação Jurídica, Financeira, Psicológica e Social) 
• Portal de descontos em diversos segmentos (Allya) 
• Campanha de vacinação (colaborador e dependente) 
• Facilitação no financiamento de veículos (Mediante análise)  
• Cartão de crédito PAN com limite diferenciado (Mediante análise) 
• Vale Transporte (desconto de apenas 4%) 
• Assistência Funeral 

Estamos em busca de talentos para construir o futuro da área de Dados:

A área de Dados do BTG Pactual está em expansão e tem papel estratégico no desenvolvimento dos novos modelos de negócio do banco e das empresas do Grupo (Pan, Mosaico, ARC4, BeOps, entre outras). Nosso foco é formar um time de alta performance, preparado para atuar em desafios complexos e de grande impacto.

Esta posição integra o time de Data Analytics, responsável por apoiar áreas estratégicas e operacionais por meio de soluções modernas de Big Data e Analytics, garantindo que os dados estejam organizados, confiáveis, seguros e prontos para gerar valor ao negócio.

Principais desafios:

Quais as principais competências para a posição?

Modelo de atuação: Híbrido (2 dias presenciais por semana) nos escritórios da Av. Brigadeiro Faria Lima e/ou Av. Paulista – São Paulo.

Benefícios do PAN:

• Bônus / PLR 
• Vale Refeição 
• Vale Alimentação 
• 13º de Vale Alimentação 
• Convênio Médico (internação em apartamento para titular e dependentes) 
• Convênio Odonto/Ortodôntico 
• Ambulatório Médico no escritório 
• Telemedicina Dr. Alper (Einstein Conecta) ilimitado. 
• Seguro de Vida 
• Descontos em mais de 10 mil farmácias 
• 4 Sessões de psicoterapia por mês 
• Licença familiar estendida (Responsável 6 meses e corresponsável 30 dias) 
• Auxílio Creche / Babá 
• AcomPANha (programa de acompanhamento para gestantes) 
• Wellhub/Totalpass 
• Auxílio tecnologia assistivas (reembolso de 85% para colaboradores com deficiência) 
• Programas de desenvolvimento 
• Massagem e Auriculoterapia
• Salão de beleza no escritório 
• PAE (Orientação Jurídica, Financeira, Psicológica e Social) 
• Portal de descontos em diversos segmentos (Allya) 
• Campanha de vacinação (colaborador e dependente) 
• Facilitação no financiamento de veículos (Mediante análise)  
• Cartão de crédito PAN com limite diferenciado (Mediante análise) 
• Vale Transporte (desconto de apenas 4%) 
• Assistência Funeral 

The salary range for this role is negotiable, the range being $6,000-$12,500 per month (Gross in USD), based on location and experience level.  

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this principal development role, with 12+ years of experience, the compensation range is  $6,000 - $12,500 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience

About the Role: 

We are seeking a talented and motivated, best-in-class Principal Engineer for our Data Infrastructure. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

Sezzle is growing; our data generation and consumption is growing with us at an increasing scale. Data is extremely valuable, and we want to empower the business, the engineers, and the rest of the organization to be able to read, write, and analyze large volumes of it quickly and efficiently.

Sezzle is a heavy consumer of MySQL, Postgres, and Redshift, leveraging AWS tooling with Aurora RDS and DMS. We use DBT-based transformations and similar toolkits to populate a rapidly growing data lake that supports multiple data warehouses. It’s scaled well with us so far, and we’re looking to continue improving it, but we also want to step into new tooling and technologies.

What you’ll do: 

• End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.
• Lead optimizations in database and query performance.
• ​​Build and maintain tooling to help manage and upgrade our data infrastructure, continually improving with migrations and optimizations.
• Partner with Development to ensure we ship solid queries against a battle-tested schema to meet the needs of our products and business.

• Help Sezzle evolve our data systems beyond the current scale and stack with whatever tooling is necessary to handle processing high volumes of writes and events while performing complex ETL.
• Evaluate and integrate new technologies, guiding the evolution of Sezzle’s data infrastructure.
• Help data engineers and analysts optimize Redshift and warehouse performance, including query tuning, modeling improvements, and cost management.

What We look for: 

• 12+ years of experience in DBA, SRE, or Data Engineering roles, with a strong track record of scaling production-grade systems.
• Deep expertise with MySQL, Postgres, AWS Redshift or similar products, including performance tuning, table design, and workload management.
• Advanced proficiency in SQL.
• Strong hands-on experience with data replication and ETL/ELT frameworks, especially DBT, AWS DMS, or similar tools.
• Strong understanding of data modeling, distributed systems, and warehouse/lake design patterns.
• Ability to work in a fast-paced, collaborative environment with excellent communication and documentation skills.

Preferred Knowledge and Skills:

• Prior experience in high-growth, data-intensive fintech or similar regulated environments.
• Knowledge of lakehouse architectures and modern stacks such as Snowflake, Databricks, Iceberg, or Delta Lake.
• Some background in designing scalable, fault-tolerant data pipelines using modern orchestration tools (Airflow, Dagster, Prefect, etc.) processing anywhere from 100GB to 1 TB of new data a day
• Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming).
• High enthusiasm for using AI to be as productive as possible.

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer and AI-driven, focus on automated end-to-end, integration, and unit tests
• Open Source: Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

The salary range for this role is $2,800 - $6,000 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

Compensation:

For this mid-level development role, with 3-7 years of experience, the compensation range is $2,800 - $6,000 USD per month. This range is designed to reflect the skills, experience, and value brought to the team, ensuring competitive and fair pay within the industry.

Interview Process

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Coding assessment (~1.5 hours)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

About the Role: 

We are seeking a talented and motivated Software Engineer II who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. This role sits within our Marketing & Mobile Engineering organization. You will work across our marketing technology stack and mobile surfaces, building systems that power lifecycle messaging, attribution, content delivery, and in-app experiences for millions of users. The work directly influences Sezzle’s core growth metrics — subscriber acquisition, engagement, and retention. You will work closely with other engineers across multiple teams to provide high-quality, scalable, and innovative products. Your day-to-day responsibilities will include partnering with other engineers to design, develop, and deliver new features. As your skills grow so will the size and scope of the projects which you’ll be involved in. Sezzle has a strong culture for promotion with defined paths through Engineering that matches all levels. You’ll be working as part of a full-stack Engineering team which has varied disciplines.

What You'll Do: 

• Build and maintain features across our marketing technology platform and mobile applications, actively learning new areas of the product
• Develop and extend integrations with marketing and analytics platforms (e.g., lifecycle automation tools, attribution systems, content management platforms) 
• Contribute to backend services, APIs, and data pipelines that power campaign targeting, user segmentation, and messaging delivery 
• Collaborate with Marketing, Product, and Analytics stakeholders to translate business requirements into engineering solutions
• Be an active participant in design and architecture discussions, sharing your ideas while building the next generation of features for the Sezzle platform
• Hands-on with our codebase and a contributor to code reviews
• Mentor other engineers who are starting along their career path 
• Work with the team to continuously build and deploy scalable solutions
• Assist in planning, estimations, and completion for projects brought up by team stakeholders 
• Leverage AI-assisted development tools to accelerate delivery and improve code quality

What We Look For: 

• Experience solving technical problems as part of a team
• Bachelor's in computer science (required)
• Familiarity with modern Frontend Development, with React experience preferred
• Ability to solve problems with backend-focused languages like Go or similar compiled statically typed language
• Intermediate understanding of relational databases like MySQL

Preferred Knowledge and Skills:

The following are valued but not required, we encourage candidates to apply even if they don’t check every box.

We’re looking for strong engineers who are eager to learn and grow into these areas:

• Marketing technology platforms: Experience or exposure to tools such as Braze, AppsFlyer, Contentful, or comparable lifecycle messaging, mobile attribution, and headless CMS platforms
• Mobile development: Familiarity with React Native, native iOS/Android development, or mobile SDK integration
• AI tooling & agentic coding: Hands-on experience using AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate engineering workflows, and openness to incorporating agentic coding patterns into daily work
• Knowledgeable in writing automated tests for applications (unit, integration, endto-end)
• Familiar with the basic principles and design of RESTful APIs 
• Basic knowledge of a Microservice Architecture
• Close familiarity with software engineering tools, software development methodology, and release processes
• Experience working with event-driven architectures, message queues, or workflow orchestration tools
• Comfort working across the full stack — from backend services and data pipelines to frontend UI and mobile surfaces

About You: 

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Marketing & Analytics: Braze, AppsFlyer, Contentful, Redshift, Redash
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome? 

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-remote 

#Full-time

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world's most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

HG Insights runs data infrastructure across three organizations, two clouds, and sixteen database and caching technologies. As we scale, we're consolidating database ownership under Platform Engineering. This role leads that function.

You will be the first database specialist on our DevOps team; embedded, not siloed. You'll own the full database portfolio: operational health, security posture, cost optimization, and the migration work required to modernize our data layer. As you build the practice, you'll cross-train DevOps engineers so the capability compounds beyond one person.

This is a Senior/Staff individual contributor role. You will set direction on database strategy and own its execution. The team you're joining manages 140+ IaC repositories across AWS, GCP, and Kubernetes.

Job Overview 

_{What You'll Own}

Database ownership across the portfolio

• Primary operator for PostgreSQL (RDS, Aurora, Cloud SQL, NeonDB), MySQL, Redshift, ClickHouse, Elasticsearch, OpenSearch, MongoDB Atlas, and Databricks
• Caching layer ownership: ElastiCache Redis, Dragonfly, Valkey
• Version management and patching across a multi-repo Terraform estate; coordinate EOL remediations across AWS and GCP
• Establish backup, recovery, and DR standards across all managed data layers

Migration and modernization

• Lead Elasticsearch modernization; approved architecture, ready to execute
• Lead ClickHouse stabilization and standardization
• Phoenix data repatriation: move third-party-hosted data in-house as Phoenix migration progresses
• NeonDB consolidation evaluation

Performance and cost

• Own database cost optimization across the portfolio: capacity planning, rightsizing, reserved instance and savings plan recommendations
• Query analysis, slow query identification, connection pool tuning
• Identify and execute on addressable savings in the database infrastructure spend

Platform integration

• Terraform and Terraform Cloud for all database infrastructure; standardize configurations across a fragmented estate
• ArgoCD and Kubernetes (EKS, GKE) for database workloads running in-cluster (Elasticsearch, ClickHouse, Dragonfly)
• GitHub Actions CI for database migration testing and backup validation
• Build and own the database observability layer in Datadog: dashboards, monitors, slow query alerting, replication lag, connection saturation

Collaboration with application engineering

• Partner with application engineering teams on database design, schema changes, query optimization, and technology selection; you are the subject matter authority they escalate to
• Establish and maintain standards for how application teams interact with the data layer: migration tooling, connection management, index design review, and capacity requests
• Own the feedback loop between application performance and database infrastructure; connect slow query data to engineering teams who can act on it

Cross-training and knowledge transfer

• Structured cross-training with the DVO team so database operational capability isn't concentrated in one person
• Document operational runbooks, incident response procedures, and capacity planning models

What We're Looking For

• 5+ years of hands-on database administration or database engineering; not theoretical
• Deep PostgreSQL expertise: replication, vacuum tuning, connection pooling (PgBouncer/PgCat), index strategy, major version upgrades
• Elasticsearch operational experience at scale; index lifecycle management, shard sizing, snapshot/restore, Kubernetes-hosted clusters
• ClickHouse or columnar database experience is a strong plus
• AWS RDS, Aurora, Redshift, ElastiCache; day-to-day operations, not just provisioning
• Terraform and Terraform Cloud; you will be reading and writing IaC on day one
• Kubernetes (EKS or GKE); database workloads run in-cluster and you need to be comfortable there
• Python or Bash scripting; maintenance windows, backup validation, migration tooling
• Migration experience; schema migrations, cross-engine moves, zero-downtime cutover strategies
• Datadog or equivalent observability tooling

Nice to have

• BigQuery, DynamoDB, or Databricks administration
• Redis/Valkey/Dragonfly at production scale
• MongoDB Atlas administration
• Cloud cost optimization (reserved capacity, savings plans)

Type: Contract, per-project.
Location: Remote — within LATAM with ET ±1 hour
Availability: Contractor (40 hours per week)

Job Title: Data / Platform Engineer (AWS & Data Pipelines)

We are looking for a highly motivated Data / Platform Engineer to join our team and help design, build and operate scalable data pipelines and cloud-based solutions.

In this role, you will work closely with engineering and product teams to build both streaming and batch data pipelines, contribute to system design, and help drive automation and monitoring across our data platform.

Key Responsibilities

• Design, build, maintain and primarily operate scalable streaming and batch data pipelines, with a strong focus on maintenance, monitoring, troubleshooting and continuous improvement of existing pipelines.

• Work with AWS services, including Redshift, EMR and ECS, to support data processing and analytics workloads.

• Develop and maintain data workflows using Python and SQL.

• Orchestrate and monitor pipelines using Apache Airflow.

• Build and deploy containerized applications using Docker and Kubernetes.

• Break down high-level system designs into well-defined, deliverable tasks with realistic estimates.

• Collaborate with cross-functional teams in a fast-paced and distributed environment across the US and Europe.

• Drive automation, observability and monitoring to improve reliability, performance and operational efficiency.

• Support knowledge transfer and ownership handover as part of the planned transition to the consuming team.

Required Qualifications

• Strong professional experience with Python and SQL.

• Hands-on experience with AWS, specifically Redshift, EMR and ECS. AWS experience is mandatory (other cloud providers are not considered equivalent for this role).

• Proven experience building and operating both streaming and batch data pipelines.

• Professional experience with Apache Airflow, Docker and Kubernetes.

• Ability to translate high-level system designs into actionable technical tasks and realistic estimates.

• Comfortable working in dynamic and fast-paced environments and in distributed teams.

• Strong interest in automation and monitoring.

• Strong hands-on experience with Apache Spark.

• Senior-level profile with strong autonomy, communication skills and ability to work effectively in distributed teams.

• Proven ability to transfer knowledge and support ownership handovers.

• Fluent or professional working proficiency in English (both written and spoken).

Nice to Have

• Previous experience in the telecom industry.

• Experience with machine learning systems and/or event-driven architectures.

• Experience with Apache Iceberg.
  
  (*) SOUTHWORKS only hires individuals from countries that are not blocked or sanctioned by the United States, including those identified on the United States Office of Foreign Asset Control (OFAC).

The Role

The Data Practice Director is a senior leadership role within Caylent's Cloud Data Engineering (CDE) practice, reporting directly to the Data Practice Leader. This person is responsible for operationalizing the practice strategy, leading a team of data professionals, and owning delivery excellence across a portfolio of client engagements. They are the connective tissue between strategic direction and day-to-day execution, ensuring the practice delivers consistent, high-quality outcomes while scaling to meet growth targets.

Your Assignment

Practice Operations and Delivery

• Own end-to-end delivery oversight for a portfolio of data engineering and analytics engagements, ensuring on-time, on-budget, and high-quality outcomes.
• Drive operational rigor across the practice including utilization management, staffing coordination, margin tracking, and engagement health reviews.
• Develop and enforce delivery standards, reusable frameworks, and best practices that enable consistent, scalable execution across the team.
• Serve as an escalation point for active engagements, helping resolve technical blockers, scope issues, and client concerns in partnership with delivery leads.
• Partner with the Practice Leader to translate the strategic roadmap into executable quarterly priorities and team-level OKRs.

Team Leadership and Development

• Directly lead and develop a team of data engineers, architects, and analytics professionals across the practice.
• Set clear performance expectations, conduct regular reviews, and provide ongoing coaching to build a high-performing, engaged team.
• Partner with recruiting and workforce planning to identify talent gaps, support hiring decisions, and onboard new team members effectively.
• Foster a culture of ownership, continuous learning, and technical excellence across a globally distributed team.
• Identify and develop emerging leaders within the practice, creating growth pathways aligned to practice needs.

Client Engagement

• Build trusted advisor relationships with key client stakeholders, acting as a senior point of contact for delivery and strategic guidance.
• Partner with the sales and GTM teams to support business development activities including scoping, proposal development, and technical solutioning for new and existing accounts.
• Identify and pursue expansion opportunities within active client engagements, surfacing new use cases and service offerings that align with client needs.
• Represent Caylent with credibility and professionalism in client-facing conversations at the director and VP level.

Practice Growth and Enablement

• Collaborate with the Practice Leader on go-to-market positioning, service offering development, and internal capability building.
• Contribute to thought leadership content including whitepapers, webinars, and conference presentations that elevate the practice's external profile.
• Stay current on trends in the modern data ecosystem and work with the team to incorporate relevant innovations into our delivery approach.
• Support the development of practice IP including accelerators, reference architectures, and reusable solution components.

Your Qualifications

Experience

• 12+ years of experience in professional services or consulting, with a strong focus on data engineering, analytics, or data platform delivery.
• Demonstrated success managing and growing a team of 20 or more data professionals in a services or consulting environment.
• Proven track record of delivering complex data projects on AWS, including data lake, lakehouse, streaming, and analytics workloads.
• Experience managing a portfolio of concurrent client engagements, balancing delivery quality with financial performance.
• Hands-on background in data architecture or engineering, with the ability to engage credibly with technical teams and client stakeholders alike.

Leadership

• Strong people management skills with demonstrated ability to develop talent, drive performance, and build team culture across geographies.
• Ability to operate effectively at multiple levels, from strategic planning conversations with the Practice Leader to hands-on engagement support with delivery teams.
• Comfortable navigating ambiguity and complexity in a fast-paced, high-growth consulting environment.
• Experience influencing senior client stakeholders (director, VP and C-level) in delivery and advisory contexts.

Technical Acumen

• Deep familiarity with the AWS data ecosystem including services such as Redshift, Glue, EMR, Kinesis, Lake Formation, and Athena.
• Working knowledge of adjacent platforms including Databricks and Snowflake, and their integration with AWS-native architectures.
• Broad understanding of data engineering fundamentals: ingestion patterns, transformation frameworks (e.g., Spark, dbt), data modeling, governance, and quality management.
• Familiarity with MLOps and data science workflows sufficient to support and position those capabilities in client conversations.

Education

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• Master's degree or MBA is a plus.

Certifications

• AWS Certified Data Analytics, AWS Certified Solutions Architect, or equivalent certifications are a plus.

Preferred Qualifications

• Execution-Oriented: Skilled at translating strategy into structured plans and holding teams accountable to outcomes.
• Client-First Mindset: Genuinely invested in client success and capable of building durable, trust-based relationships.
• Collaborative Partner: Works effectively across sales, delivery, and practice leadership functions without siloed thinking.
• Clear Communicator: Able to convey complex technical and business concepts to diverse audiences with clarity and confidence.
• Growth Driver: Passionate about building teams, capabilities, and client relationships that compound over time.

Benefits

• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

• You will ensure new customers have an excellent experience by providing technical assistance early in their journey
• You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
• You will work directly with multiple customers concurrently to provide technical solutions.

• Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
• 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
• Experience in one or more of the following:
• Solid understanding of the end to end data analytics workflow
• Excellent time management and prioritization skills
• Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
• Knowledge of a programming language - Python, Scala, or SQL
• Knowledge of end-to-end data analytics workflow
• Hands-on professional or academic experience in one or more of the following:
• Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
• Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
• Excellent time management and prioritization skills
• Excellent written and verbal communication, in English and Portuguese
• Bonus
  • Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
  • Databricks certification(s)

This is a on-site position, based in São Paulo (SP) OR Campinas (SP).

About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

What you'll do:

Management routine

• Manage and lead a high-performance team of Data Analysts and Analytics Engineers (8 to 10 resources).
• Work with product leaders, engineering, and commercial strategy to form a unified data-driven strategy.
• Support analysis request prioritization with stakeholders and Data Product Managers (DPMs).
• Actively balance team leadership efforts with practical development/coding of data products, metrics, and visualizations to drive business.

Technical routine

• Review to verify that best practices have been followed for high-quality products, recommend appropriate data sources and models, ensuring scalability and high reuse.
• Drive the business strategy by providing insights into current performance and highlighting areas of opportunity for growth. To do this, conduct advanced data analysis, statistical modeling, and machine learning models to answer specific business questions, extract insights and predictive patterns from large datasets to explain and expose potential opportunities from the data.
• Develop data sets/schemas consuming data from multiple sources such as internal databases, analysis tools, unstructured sources, and other external sources.
• Demonstrate a solid understanding of complex data models, data structures, and best practices for data governance to support the data platform team in definitions and executions following best practices appropriate to use cases.

What you'll need:

• Bachelor’s degree completed in Information Systems, Data Science and Analytics, Mathematics, Statistics, Computer Engineering, or other data-related fields, with a strong foundation in Statistics.
• Prior experience in technical management of Data Analyst or Analytics Engineering teams.
• Advanced English is mandatory - will work with a global team.
• Experience with B2B portfolio management would be a big plus.
• Expertise in database query and reporting tools (SQL + Power BI + DAX).
• Effective skills in programming languages (Python, PySpark, SQL).
  
• Strong experience designing and maintaining CI/CD pipelines, using Git for code versioning, and actively participating in code review practices.
• Strong experience with relational (SQL) and non-relational (NoSQL) database technologies.
• Prior experience in cloud data solutions (e.g., Databricks, Redshift, BigQuery, Teradata, Snowflake) and cloud platforms such as AWS and Azure.
• Experience in analyzing data to identify key insights, gaps, and inconsistencies.
• Familiarity with the Systems Development Life Cycle and Agile Methodology.

Soft Skills:

• Effectively communicate complex technical concepts and analytical insights to non-technical stakeholders and senior leadership.
• Promote collaboration and a productive work environment by sharing knowledge and experience with direct subordinates.
• Proven ability to seek unconventional solutions, explore opportunities, and develop innovative solutions.

What We Offer:

• Performance based bonus*
• Attendance Bonus* 
• Private pension plan
• Meal Allowance
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Medicines discounts
• WellHub partnership
• Childcare subsidies
• Discounts on Ambev products*
• Clube Ben partnership
• Scholarship*
• School materials assurance
• Language and training platforms
• Transport allowance

*Rules applied

Equal Opportunity & Affirmative Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*.

Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. 

For more information: www.abinbev.com 

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the role

At Nubank, protecting customer data is a foundational element of our relationship with over 100 million users. As a Data Security Analytics Engineer, you will be responsible for designing and evolving the secure infrastructure that allows our teams to innovate at scale while maintaining the highest standards of privacy and compliance. You will lead the integration between Data Engineering and Security, ensuring that sensitive data is classified, governed, and monitored across our global analytics environment. Your mission is to balance risk reduction with high usability and performance, ensuring that data security is embedded by design in every pipeline and analytical layer.

You'll be responsible for

• Designing Secure Data Architectures: Independently build and evolve secure data ingestion, transformation, and analytics pipelines that support sensitive and regulated data across all analytics environments.
• Implementing Platform-Level Security: Drive the rollout of improvements such as classification tags, policy-driven access controls, and automated validations to reduce risk without compromising system performance.
• Governing Data Models: Own the design and evolution of data models and semantic views that enforce security and privacy requirements by default.
• Operationalizing Metadata and Lineage: Lead initiatives to track data lineage and sensitivity metadata across critical sources, enabling scalable governance and observability.
• Executing Audits and Remediation: Actively lead access reviews and remediation efforts, identifying gaps in least-privilege enforcement and proposing structural improvements.
• Monitoring and Detection: Design and maintain dashboards, logs, and alerts to detect anomalous data access, misuse patterns, or risky joins across analytics workloads.
• Incident Response and Investigation: Investigate complex access anomalies or security incidents, performing root cause analysis and proposing preventive controls in collaboration with Security Engineering and Data Platform teams.
• Building Internal Tooling: Maintain and develop tooling that enables secure data usage at scale, such as permission helpers and metadata validation frameworks.

We are looking for a person who has

• Data Engineering Expertise: Solid understanding of ETL/ELT fundamentals, data warehouses, and distributed systems such as BigQuery, Databricks, Kafka, or Redshift.
• Security Control Implementation: Strong working knowledge of encryption, masking, tokenization, classification, and fine-grained access control (RBAC/ABAC).
• Advanced Analytical Skills: High proficiency in SQL and experience designing analytical data models with a focus on performance, correctness, and sensitive data handling.
• Production-Grade Programming: Proficiency in writing maintainable and testable code in at least one language, such as Python, Scala, Clojure, or Go.
• Infrastructure and DevOps Knowledge: Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized environments like Docker and Kubernetes.
• Data Observability: Experience in surfacing actionable metrics and logs for security monitoring and incident investigation.
• Strategic Communication: Ability to translate security and regulatory requirements into concrete engineering solutions while engaging with technical and non-technical stakeholders.
• Cloud Proficiency: Exposure to cloud security practices in large-scale environments, specifically AWS or GCP.

Location for this opportunity (City, Country)

• São Paulo, Brazil 
• Campinas, Brazil 
• Rio de Janeiro, Brazil 
• Belo Horizonte, Brazil 

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Option 1: Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/