Data Engineer

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

• Experience in data engineering, analytics engineering, or modern BI platforms
• Strong experience with Microsoft Fabric, Databricks, Snowflake, BigQuery, or similar cloud data platforms
• Hands-on expertise with Power BI semantic modeling, including DAX, tabular models, calculation groups, and row-level security
• Experience designing and maintaining modern data pipelines, ETL/ELT workflows, and data quality processes
• Strong SQL skills and experience using Python for data engineering and analytics workflows
• Experience integrating AI systems with curated data layers and semantic models
• Experience working with Microsoft Copilot Studio data connectors and semantic layer integrations
• Experience with database administration using SQL Server, Azure SQL, or equivalent relational systems
• Understanding of ontology-style data modeling and knowledge structures for AI consumption
• Experience building stakeholder-facing dashboards and business intelligence solutions
• Ability to collaborate closely with AI and platform engineering teams on data architecture decisions
• Clear and concise communication skills, both written and verbal, to support documentation, issue reporting, and cross-team collaboration.
• Advanced English level

Build the data foundation powering both AI and business intelligence across the enterprise. Design semantic data models, scalable pipelines, and governed integrations that turn operational data into AI-ready knowledge.

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!