Robots & Pencils
Staff Data Engineer
Vaga remota de Staff Data Engineer com fit claro de localização do candidato.
Publicada5 de jul. de 2026
Países elegíveis62 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Staff Data Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Craft & Delivery
- Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes
Craft & Delivery
- Build and optimize scalable data pipelines supporting batch and real-time processing
Craft & Delivery
- Define and enforce data governance, quality standards, and compliance frameworks across the platform
Craft & Delivery
- Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD workflows for data deployment and automation
Craft & Delivery
- Drive data platform modernization, optimizing for performance, cost, and scalability
Craft & Delivery
- Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
Craft & Delivery
- Design and implement data contracts and event flows in collaboration with backend, platform, and engineering teams
Craft & Delivery
- Lead the design and implementation of data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
Craft & Delivery
- Integrate data services with APIs, middleware, and third-party systems to support end-to-end data consumption
Collaboration & Communication
- Partner with leadership on data strategy, translating technical depth into decisions others can act on
Collaboration & Communication
- Collaborate closely with engineering, analytics, AI, and product teams to align data platforms with broader goals
Collaboration & Communication
- Advocate for data quality, governance, and platform best practices across teams and engagements
Leadership & Influence
- Establish data engineering standards that lift the quality and consistency of work across the team
Leadership & Influence
- Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact
Leadership & Influence
- Make high-stakes architectural decisions with clear ownership and consideration of long-term tradeoffs
What You’ll Bring
- 7+ years of professional data engineering experience, with experience leading complex data platform initiatives
What You’ll Bring
- Strong system architecture background with expertise in distributed data systems
What You’ll Bring
- Expert proficiency in Python, Scala, and SQL
What You’ll Bring
- Deep expertise with cloud-native data platforms and enterprise data warehousing
What You’ll Bring
- Strong expertise in data pipeline orchestration and processing
What You’ll Bring
- Strong experience with streaming platforms and real-time data processing (e.g., Kafka, Kinesis, Pub/Sub)
What You’ll Bring
- Strong data modeling expertise and experience with data transformation
What You’ll Bring
- Strong experience with data quality, governance, and compliance frameworks
What You’ll Bring
- Strong experience with container orchestration and CI/CD for data systems
What You’ll Bring
- Strong experience building data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows
What You’ll Bring
- Demonstrated leadership and technical mentoring experience across a team or organization
What You’ll Bring
- Strong stakeholder communication skills, with the ability to translate technical depth across audiences
What You’ll Bring
- Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude and Cursor
What You’ll Bring
- Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment
What You’ll Bring
- Experience with data mesh or data fabric concepts, lakehouse architectures, or governance framework implementation is a plus
You’ll Do Well Here if You Are
- A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.
You’ll Do Well Here if You Are
- A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.
You’ll Do Well Here if You Are
- Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.
You’ll Do Well Here if You Are
- Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.
You’ll Do Well Here if You Are
- Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
You’ll Do Well Here if You Are
- All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
You’ll Do Well Here if You Are
- Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
You’ll Do Well Here if You Are
- Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.APPLICATIONS FROM OUTSIDE COLOMBIA AND BRAZIL WILL NOT BE CONSIDERED FOR THIS ROLE
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