Lead Data Engineer

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $174.000 - $224.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Dave

201 - 500 funcionários

💳 Fintech

🏦 Bancário

👥 B2C

Fintech • Banking • B2C

Lutando pelos desfavorecidos – Nós começamos o Dave por um motivo: os bancos não foram feitos para pessoas como nós, e sabíamos que merecíamos algo melhor. Como Davi vencendo Golias, decidimos enfrentar os bancos e seus modos predatórios. Nossa primeira luta? Tornar as taxas de descoberto uma coisa do passado, dando aos membros o dinheiro de que precisavam, sem cobrar US$ 38. Por quê? Porque é a coisa certa a fazer. Desde então, continuamos a oferecer aos nossos membros os produtos que os bancos tradicionais não oferecem: adiantamentos de $500, acompanhamento de metas sem taxas e maneiras simples de encontrar bicos quando você está com o orçamento apertado. Nós crescemos muito desde que começamos, mas uma coisa nunca mudou: estamos construindo produtos que tornam o campo financeiro mais justo.

Descrição

• Lead the design, implementation, operation, and evolution of production data pipelines and core platform capabilities • Build and improve integrations across APIs, files, CDC and event sources, cloud services, and internal systems • Establish patterns for data modeling, orchestration, testing, data quality, observability, retries, backfills, and recovery • Improve Snowflake, dbt, and Airflow/Cloud Composer workloads for reliability, scalability, performance, and cost • Lead technical design reviews and clarify system boundaries • Help teams make thoughtful architecture and delivery trade-offs • Mentor engineers and strengthen engineering standards through documentation and durable solutions • Partner with engineering and business teams to turn evolving needs into scalable data-platform solutions • Diagnose production issues and balance reliability, cost, speed, and durability • Use AI-assisted engineering tools while maintaining security, validation, quality, and human accountability

🎯 Requisitos

• 5+ years of software or data engineering experience, including significant ownership of production data systems • Strong Python and SQL skills • Solid software engineering fundamentals including testing, code review, version control, and CI/CD • Experience with a modern cloud data warehouse such as Snowflake, BigQuery, or Redshift • Experience with orchestration and transformation frameworks such as Airflow/Cloud Composer and dbt, or comparable technologies • Strong understanding of data modeling, incremental processing, data quality, observability, and production recovery • Demonstrated architecture judgment and experience providing technical leadership and mentorship across teams • Ability to navigate ambiguity, clarify ownership, and communicate technical and business trade-offs clearly • Fintech or other high-stakes or regulated data experience is a bonus • CDC, streaming, event-driven, or high-volume integration experience is a bonus • Experience with GCP technologies such as Dataflow, Pub/Sub, and Cloud Storage is a bonus • Experience with metadata, lineage, semantic layers, governance, privacy, or AI-ready data platforms is a bonus • Permanently authorized to work in the United States without visa sponsorship

🏖️ Benefícios

• Equity offered • Flexible hours • Virtual-first work culture • Home office stipend • Premium Medical, Dental, and Vision Insurance plans • Generous paid parental and caregiver leave • 401(k) savings plan with matching contributions • Financial advisor and financial wellness support • Flexible PTO • Generous company holidays, including Juneteenth and Winter Break • All-company in-person events once or twice a year • Virtual events throughout to connect with team members and leadership

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