Data Engineer - Snowflake/Databricks

encora10; United States; Remote; USD 21,000 - 37,000; Full time

Job summary

encora10 is seeking a data engineer to build and support scalable data pipelines using Snowflake, Databricks, and AWS services. You will translate data needs from analysts and business partners into reliable processing workflows, then monitor performance and maintain engineering best practices.

You will design, implement, and optimize data pipelines, collaborate with stakeholders, participate in reviews, and stay updated with the latest data engineering and cloud platform developments.

Qualifications

• Proficient in SQL and data querying with strong analytical mindset.
• Experience modeling data warehouses and designing scalable ETL processes.
• Good understanding of data warehousing concepts and practices.
• Familiar with cloud data pipelines and performance tuning in Snowflake/AWS.
• Basic exposure to Databricks for data processing or analytics.

Responsibilities

• Design, develop, and maintain scalable pipelines using Snowflake and AWS services.
• Collaborate with analysts and stakeholders to clarify data requirements and deliver useful datasets.
• Utilize Databricks for data integration, processing, and transformation.
• Monitor workflows and improve reliability and performance.
• Participate in code reviews and document data processes for cross-functional teams.
• Stay current with developments in data engineering and cloud platforms.

Skills

SQL

Data modeling

ETL

Performance tuning

Cloud data pipelines

Tools

Snowflake

Databricks

AWS services (S3, Lambda, Redshift)

Job description

Role overview

Build and support data pipelines and integrations using Snowflake, Databricks, and cloud services. You’ll work with analysts and business partners to translate data needs into reliable processing workflows, then monitor performance and help maintain consistent engineering practices.

Responsibilities

• Design, develop, and maintain scalable pipelines using Snowflake and AWS services.
• Work with analysts and business stakeholders to clarify data requirements and deliver useful datasets or insights.
• Use Databricks for data integration, processing, and transformation.
• Monitor workflows and improve their reliability and performance.
• Participate in code reviews, document data processes, and share updates with technical and business collaborators.
• Keep current with developments in data engineering and cloud platforms.

Requirements

• Strong Snowflake experience, including data modeling, ETL, and performance tuning.
• Basic hands-on experience with Databricks for data processing or analytics.
• Proficiency in SQL and data querying.
• Experience with AWS services such as S3, Lambda, and Redshift.
• Familiarity with data warehousing concepts and practices.

Nice to have

• Python or Scala for data manipulation and analysis.
• Experience with Tableau, Power BI, or similar visualization tools.
• Knowledge of data governance and security, or experience working in Agile teams.

Benefits and work setup

The position is listed as remote and based in Brazil.