> Markdown version of [/jobs/ext/4704254-data-engineer-snowflake-databricks](https://www.wearedevelopers.com/jobs/ext/4704254-data-engineer-snowflake-databricks). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - Snowflake/Databricks

- **Company:** Encora Inc
- **Location:** Brazil, IN, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Cloud Computing, Code Review, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Query Languages, Document-Oriented Databases, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Power BI, SQL Databases, Tableau (Software), Data Processing, Snowflake, Star Schema, Data Management, Data Pipelines, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-snowflake-databricks-brazil-in--07671d14-9a16-469c-89cf-85d0fbd40e50

## About the Role

Snowflake Schema, Snowflake Schema, Technical Recruiting, Data Management, Amazon Web Services (AWS), Scalable System Development, Data Analysis, Data Processing, Performance Management, High Reliability, * Strong expertise in Snowflake, including data modeling, ETL processes, and performance tuning.

 * Basic experience with Databricks for data processing and analytics.
 * Proficiency in SQL and data querying languages.
 * Experience with AWS services such as S3, Lambda, and Redshift.
 * Familiarity with data warehousing concepts and best practices.

Preferred Skills

 * Knowledge of Python or Scala for data manipulation and analysis.
 * Experience with data visualization tools such as Tableau or Power BI.
 * Understanding of data governance and security best practices.
 * Experience working in an Agile development environment.

## Description

* Design, develop, and maintain scalable data pipelines using Snowflake and AWS services.
 * Collaborate with data analysts and business stakeholders to understand data requirements and deliver actionable insights.
 * Implement data integration solutions using Databricks for data processing and transformation.
 * Monitor and optimize data workflows to ensure high performance and reliability.
 * Participate in code reviews and contribute to best practices in data engineering.
 * Document data processes and maintain clear communication with team members and stakeholders.
 * Stay updated with the latest trends and technologies in data engineering and cloud computing.