Senior / Staff Data Engineer Render · Remote · Worldwide · Data Engineering $195,000–$268,000 2w ago

Dataroles; Colombia; A distancia; COP 383.939.000 - 575.908.000; Jornada completa

Descripción de la vacante

Render is hiring a Senior/Staff Data Engineer to lead the data platform and shape the analytics infrastructure for trusted data. You will work across the data stack, collaborate with analytics, scientists, and engineers, and guide architectural decisions to enable AI-ready data workflows.

You will mentor engineers, drive testing and observability, and raise the bar for data systems at scale, helping the team deliver high-quality data products across the organization.

Formación

• 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field.
• Deep expertise in modern cloud data warehouses such as BigQuery, Databricks, or Snowflake, including data modeling, query performance, cost management, and access control.
• Strong Python and SQL skills, with hands-on experience building reliable ingestion and ELT pipelines and maintainable data models.
• Experience operating orchestration platforms such as Prefect, Airflow, or Dagster, including responsibility for deployments, upgrades, workers, and operational reliability.
• Hands-on experience with cloud infrastructure and infrastructure as code, using Terraform or equivalent tools to build predictable, maintainable systems.
• Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows.
• Strong production engineering practices, including testing, logging, alerting, observability, version control, and CI/CD.
• Excellent communication and cross-functional collaboration skills. You can explain technical tradeoffs, build alignment across data, engineering, and business teams, and lead through influence.

Responsabilidades

• Own our Data Platform Engineering architecture. Set technical direction for core data systems, lead design decisions, and deliver reliable production systems.
• Build and operate trusted data pipelines. Develop ingestion services, integrations, and pipelines that deliver accurate, timely data.
• Evolve our orchestration platform. Own workflow execution, worker infrastructure, upgrades, and operational reliability.
• Own warehouse reliability, performance, and access. Improve our BigQuery environment, including query performance, cost efficiency, permissions tooling, and governance.
• Build cloud services and infrastructure. Develop APIs, event-driven ingestion, and reusable services with infrastructure as code.
• Establish engineering standards. Improve version control, CI/CD, testing, documentation, and operational practices across the Data Platform.
• Partner across teams. Collaborate with analytics engineers, analysts, scientists, Engineering, IT, and business teams to clarify requirements and communicate risks.
• Support data science, analytics, and AI workflows. Prepare model-ready datasets and integrate AI and LLM workflows into production.
• Grow the team’s technical capabilities. Mentor data engineers through code review, pairing, design feedback, and coaching.

Conocimientos

Analytics Engineering

Data Engineering

Python

SQL

Airflow

Prefect

Dagster

BigQuery

Databricks

Snowflake

Terraform

dbt

Herramientas

BigQuery

Databricks

Snowflake

Terraform

dbt

Descripción del empleo

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.

Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.

Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.

We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.

Applying to Render

We\u2019re seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.

We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.

Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.

About the Role

We\u2019re looking for a Senior/Staff Data Engineer to join our growing Data team and set the technical direction for the systems that power analytics, data science, and operational decision-making across Render. As we scale, you\u2019ll build and operate the pipelines, services, and infrastructure that make our data accurate, timely, and trusted.

In this role, you\u2019ll work across the modern data stack, software and platform engineering, and emerging AI and agent workflows. You\u2019ll partner closely with analytics engineers, analysts, scientists, engineering teams, and business stakeholders to translate evolving needs into reliable, maintainable data systems.

As a Senior/Staff-level individual contributor, you\u2019ll be a hands-on technical leader—shaping architecture and the platform roadmap, mentoring data engineers, and raising the bar for how we design, build, and operate our infrastructure. The systems and standards you establish will help teams across Render understand the business, make better decisions, and bring new data science, analytics, and AI capabilities into production.

What You\u2019ll Do

• Own our Data Platform Engineering architecture. Set technical direction for core data systems, lead design decisions, and deliver reliable production systems. Partner with Data team leadership to shape the platform roadmap and evaluate architectural and build-versus-buy tradeoffs.

• Build and operate trusted data pipelines. Develop ingestion services, integrations, and pipelines that deliver accurate, timely data. Make testing, logging, alerting, and observability part of how we build and operate the platform.

• Evolve our orchestration platform. Own workflow execution, worker infrastructure, upgrades, and operational reliability. Improve deployment patterns and balance performance, cost, and maintenance needs as workloads grow.

• Own warehouse reliability, performance, and access. Improve our BigQuery environment, including query performance, cost efficiency, permissions tooling, and governance. Partner with Analytics Engineering on warehouse architecture and the foundations that support scalable dbt models.

• Build cloud services and infrastructure. Develop APIs, event-driven ingestion, and reusable services that connect our data systems. Use infrastructure as code to create maintainable infrastructure, reusable modules, and predictable deployments.

• Establish engineering standards. Improve version control, CI/CD, testing, documentation, and operational practices across the Data Platform. Reduce technical debt and help the team make sound decisions about tooling and platform evolution.

• Partner across teams. Work with analytics engineers, analysts, scientists, Engineering, IT, and business teams to clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines. Collaborate with IT and Security on secure access and data handling.

• Support data science, analytics, and AI workflows. Prepare model-ready datasets, make features available to downstream systems, and help integrate AI and LLM workflows into production.

• Grow the team\u2019s technical capabilities. Mentor data engineers through code review, pairing, design feedback, and coaching, and help engineers take ownership of increasingly complex systems.

What We\u2019re Looking For

• 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, with a track record of setting direction, driving architecture, and delivering complex data systems across a team.

• Deep expertise in modern cloud data warehouses such as BigQuery, Databricks, or Snowflake, including data modeling, query performance, cost management, and access control.

• Strong Python and SQL skills, with hands-on experience building reliable ingestion and ELT pipelines and maintainable data models.

• Experience operating orchestration platforms such as Prefect, Airflow, or Dagster, including responsibility for deployments, upgrades, workers, and operational reliability.

• Hands-on experience with cloud infrastructure and infrastructure as code, using Terraform or equivalent tools to build predictable, maintainable systems.

• Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows.

• Strong production engineering practices, including testing, logging, alerting, observability, version control, and CI/CD.

• A track record of mentoring engineers through coaching, code review, pairing, and design feedback.

• Excellent communication and cross-functional collaboration skills. You can explain technical tradeoffs, build alignment across data, engineering, and business teams, and lead through influence.

• Experience using AI-assisted development tools such as Codex, Cursor, or Claude Code to accelerate delivery while maintaining a high bar for correctness and maintainability.

Nice-to-Haves

• Hands-on experience with Render’s data stack, including GCP, BigQuery, Segment, and dbt.

• Experience with developer-focused, product-led, sales-led, or usage-based businesses.

• Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.

If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.

Benefits

• 4 weeks of paid vacation.

• 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.

• Long-term disability, life insurance, and 401K plans.

• 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.

• Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.

• Monthly cell phone and internet subsidy.

• Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.

• Continuous learning benefits & related support.

Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We encourage all who are interested to apply. We can\u2019t wait to hear from you!

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