Senior Software Engineer, Data Platform

🕒 Abril 20

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

Candidatar-se
Encontrar Vagas Remotas Similares

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Logo of Lithic

Lithic

51 - 200 funcionários

Fundada em 2018

💸 Finanças

💳 Fintech

🔌 API

Finance • Fintech • API

Lithic é uma plataforma completa que impulsiona pagamentos com cartão e movimentação financeira para empresas no mundo todo. Ela oferece integrações diretas às redes Visa e Mastercard, permitindo que companhias emitam cartões virtuais pré-pagos e de crédito, além de cartões físicos, e os gerenciem por meio de uma API flexível. A Lithic disponibiliza uma ampla gama de serviços, incluindo processamento de cartões, gestão de riscos, serviços bancários digitais e gestão de receitas. Sua plataforma oferece integração via API sem fricção para desenvolvedores, facilitando a emissão de cartões rápida e eficiente, o monitoramento de transações e a detecção de fraudes. A Lithic também oferece soluções robustas de gestão de disputas e liquidação, garantindo operações financeiras eficientes para os clientes.

Descrição

• Design, build, and maintain backend services and REST APIs that serve data from various SQL subsystems and other data sources • Develop well-tested, production-grade Python services with clean API contracts, proper authentication, versioning, and error handling • Work closely with the Analytics Engineering team to expose modeled data (billing, settlement, finance) through APIs that downstream consumers can rely on • Build internal tooling and services that enable the broader organization to self-serve their data needs without writing SQL • Participate in code reviews, system design discussions, and engineering best practices across the Infrastructure org • Contribute to service observability: logging, metrics, alerting, and on-call practices for the services you own • Maintain and improve existing data pipelines that move data from source systems into Snowflake (Airflow, Airbyte) • Contribute to the dbt project alongside the Analytics Engineering team — model improvements, test coverage, and data quality • Support data governance practices including access controls, lineage documentation, and data quality standards

🎯 Requisitos

• Strong Python proficiency with experience building backend services and REST APIs • Experience with web frameworks such as FastAPI, Flask, Django, or similar • Solid SQL skills and hands-on experience with modern cloud data warehouses (Snowflake strongly preferred) • Experience designing and building production APIs with proper authentication, versioning, and error handling • Familiarity with CI/CD, automated testing, and operational reliability practices • A track record of shipping reliable, well-tested services in production environments • Comfort navigating ambiguity and driving projects forward with minimal oversight. • Experience with data pipeline development using tools like Airflow, Airbyte, Dagster, or similar • Familiarity with dbt or similar transformation frameworks • Experience in fintech, payments, or other financial services environments • Familiarity with AWS services (Lambda, S3, RDS, API Gateway, ECS/Fargate) • Kafka or event streaming experience • Infrastructure-as-code experience (Terraform, Pulumi) • Experience at a company processing high transaction volumes where correctness and reliability are non-negotiable.

🏖️ Benefícios

• Unlimited PTO • 12-weeks fully paid parental leave • 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) • Work From Anywhere: work from anywhere in the world 4-weeks each year • 3% cashback on card purchases with your complimentary Privacy.com employee account • Health, vision, and dental insurance; HSA Contribution Match • 401(k) match • Voluntary Life Insurance and STD/LTD

Candidatar-se

Vagas Similares

🕒 Abril 20

EITACIES Inc.

51 - 200

🏢 Corporativo

🔒 Cibersegurança

🤖 Inteligência Artificial

Experienced Data Engineer supporting large-scale Oracle to Snowflake migration at Eitacies Inc. Collaborating with onsite and offshore teams in a fully remote role.

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $60 / hora

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

🕒 Abril 18

CVS Health

10.000+ funcionários

⚕️ Seguro de Saúde

🛒 Varejo

🧘 Bem-estar

Lead Director of AI/ML & Data Engineering at CVS Health, driving enterprise AI capabilities and engineering teams. Focused on delivering reliable, responsible AI platforms at Fortune 5 scale.

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $144.200 - $288.400 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

🕒 Abril 17

Foodsmart

51 - 200

⚕️ Seguro de Saúde

🧘 Bem-estar

🏪 Marketplace

Senior Data Engineer responsible for constructing and optimizing data pipeline architecture at Foodsmart. Collaborating closely with cross-functional teams to ensure efficient data delivery and success of data initiatives.

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $150.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

🕒 Abril 17

Sightline Payments

51 - 200

🎮 Jogos

💳 Fintech

Senior Data Engineer at Sightline Payments, overseeing data engineering and cloud-based solutions. Collaborating across teams to prepare and deliver complex data sets for improving customer-centric omnichannel experience.

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $160.000 / ano

💰 Corporate Round em 2022-10

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

🕒 Abril 17

Walker Bowen Talent Partners

1 - 10

🤝 B2B

🎯 Recrutamento

Data Engineer designing and optimizing data systems for a healthcare technology company. Collaborating with teams to support operational workflows and enhance business insights.

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $1 - $10 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório