JR-226355 Data Engineer Senior

Hello, our name is Customertimes, but you can call us CT. We are a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1000+ experts working across 65+ countries.

About this job:

We are looking for a Databricks-focused engineer (staff augmentation) to join the team and help implement, enhance, and operationalize the Databricks platform and its deployments. The role blends DevOps principles with data engineering (ETL/ELT) experience to turn business-developed code into reliable, scalable, secure, and well-governed deployments in Databricks.

The ideal candidate is hands-on with Databricks and modern CI/CD practices (source control, Databricks Asset Bundles, deployment pipelines) and can collaborate effectively with internal engineers, business/citizen developers, and stakeholders.

Location: Brazil, Argentina, Peru, Colombia, Uruguay, Mexico, Costa Rica (100% remote)

How you'll make an impact:

Databricks & data engineering:

• Design, build, standardize, and optimize Lakeflow Jobs in Databricks using PySpark;
• Implement data modeling patterns (e.g., bronze/silver/gold), ensuring high-quality curated datasets;
• Support ingestion from varied sources (SAP Datasphere, SQL Server, Oracle DB, data lakes, event streams, APIs), with robust error handling and idempotency patterns.

DevOps & CI/CD:

• Help operationalize use cases developed by business power users into production-ready Asset Bundle deployments;
• Work with CI/CD pipelines in Azure DevOps for Databricks assets (notebooks, repos, jobs, workflows, libraries).

Collaboration & documentation:

• Work closely with internal teams to implement patterns, standards, reusable templates, and best practices;
• Produce clear technical documentation (project/repo/asset bundle structure, operational runbooks, flowcharts).

What makes you a great fit:

• Proficient in English and Portuguese, or English and Spanish;
• 2+ years in data engineering and ETL/ELT delivery (or equivalent software engineering experience);
• Solid DevOps fundamentals: CI/CD, Git workflows, environment management, and infrastructure-as-code concepts;
• Hands-on experience with Databricks and/or Apache Spark (PySpark preferred);
• Ability to work with business/citizen developers to take their ideas and PoCs from code to production-ready deployment;
• Strong SQL skills and experience with performance tuning for large-scale data workloads;
• Proven expertise building production-grade pipelines using data lakehouse patterns;
• Ability to diagnose and resolve issues across data, platform, and deployment layers.

You are a star if you have:

• Experience developing and deploying Databricks Asset Bundles into production environments;
• Understanding of Databricks Unity Catalog;
• Experience with Databricks Spark Declarative Pipelines;
• Experience with Databricks AI/BI Genie;
• Experience with SAP Datasphere/HANA;
• Experience with Azure Cloud.

If you're looking to contribute to global projects, grow your skills, shape the way you work, and be part of a connected international community — Customertimes is the place to build your next career chapter. Are you ready to spark the tech with us?

Job ID: JR-226355