Our Essence:

Cresteo is on a mission to be the world leader in people-first and honest nearshore tech services. We prioritize a people-centered approach in an industry that often feels distant and impersonal. Our services are led by experienced, incredibly talented professionals who are changing the system from within - while collaborating with top global clients.

Our foundation is built on:

• Deep expertise
• Candid transparency
• Profit-sharing
• Fearless innovation

Our team stands out for their deep-rooted passion for corporate change, treating software development as a human sport and art form.

When it comes to recruitment, we won't box you into rigid questionnaires; we genuinely want to get to know you. Our interactions are not transactional but human-centered, seeking genuine understanding and connection.

You'll hear about our core values and experience them with us firsthand. They define our essence.

Join Cresteo and be part of the change we're championing!

Why You Belong Here

As a Data Engineer at Cresteo, you'll be more than just a developer; you will be part of transforming the tech industry through our honest, transparent, and people-centric approach.

Your role will be diverse and dynamic. You'll be instrumental in developing and maintaining our software solutions, working with a varied technology stack, and ensuring that our products are functional, efficient, reliable, and scalable.

By joining us, you're not just choosing a job; you're aligning with a vision that values the human side of tech, where your skills and passion are recognized, nurtured, and celebrated.

What We're Looking For

• Extensive experience designing, operating, and evolving production data platforms and modern data warehouse architectures
• Deep hands-on experience with dbt in large-scale production environments, including project structure, model layering, macros, seeds, tests, package management, and dbt Cloud job orchestration
• Proven ability to navigate, troubleshoot, and improve complex dbt projects with hundreds of models and thousands of automated tests
• Strong production experience with Apache Airflow, including DAG design, operators, task groups, sensors, variables, connections, and SLA configuration
• Deep hands-on experience with Amazon Redshift, including schema design, distribution and sort strategies, query performance optimization, and warehouse cost management
• Experience with Redshift Serverless and understanding of RPU usage and consumption-based cost behavior
• Strong dimensional and data warehouse modeling skills, including Slowly Changing Dimensions (SCD Type 2)
• Advanced SQL skills, with the ability to understand, troubleshoot, and improve complex existing data models and queries
• Strong Python skills applied to data engineering, ingestion, orchestration, and data processing
• Experience managing data infrastructure through Terraform
• Strong understanding of data quality and automated testing strategies across data pipelines, transformations, and warehouse models
• Ability to build and maintain ingestion processes rather than relying exclusively on managed ELT platforms
• Strong ownership of technical documentation, architecture knowledge, and knowledge-transfer processes, with the ability to progressively absorb and preserve critical platform knowledge
• Experience working within established architectures, with the judgment to understand existing systems before proposing significant changes
• Experience with entity resolution, record matching, master data management, data lineage, or auditability is highly valued
• Experience with AWS Managed Workflows for Apache Airflow (MWAA) is highly valued
• Experience managing cost and performance in consumption-based data warehouse environments is valued
• Experience with regulated, compliance-driven, or high-accountability data environments is valued
• Strong technical leadership, ownership, and decision-making skills, including a clear point of view on data architecture, pipeline reliability, testing, and maintainability
• Professional English communication skills and experience working directly with client stakeholders

Lead the evolution of a production data platform built around dbt, Apache Airflow, Amazon Redshift, Python, and AWS, taking ownership of its architecture, reliability, and data quality. Combine hands-on engineering with technical leadership and knowledge transfer to maintain and evolve a complex, business-critical data ecosystem.

Our Commitment to You:

• 100% Remote
• USD above-average salaries
• Profit Sharing Policy
• Unlimited PTOs after your first year (20 PTOs the first year)
• Equipment for your setup
• Great work/life balance
• Honest, simple, and transparent culture
• US-based clients and international teams

Everyone has a story. We're eager to hear yours and help you write the next chapter.

Are you ready for a change?

#Wearethechange!