Data Engineer – Databricks & Snowflake Pipelines

Ethereum Technologies; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Ethereum Technologies in the United States (Dallas, TX area) is seeking a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines and cloud data platforms. You will build reliable data integration solutions and support enterprise data warehousing initiatives.

Responsibilities include building Databricks-based workflows, Snowflake data warehouses, data ingestion/transformations, and ensuring data quality across multiple sources while collaborating with analytics and BI teams.

Qualifications

• Python
• PySpark
• SQL
• Databricks
• Apache Spark
• Snowflake
• ETL/ELT Development
• AWS
• Azure
• Google Cloud
• Data Modeling
• Data Integration
• Delta Lake
• Lakehouse Architecture
• Apache Airflow
• Data Quality
• Performance Optimization

Responsibilities

• Design, develop, and maintain scalable ETL and ELT data pipelines.
• Build and optimize data processing workflows using Databricks.
• Develop data warehouse solutions using Snowflake.
• Implement data ingestion and transformation processes.
• Work with structured and unstructured data from multiple sources.
• Develop complex SQL queries and optimize database performance.
• Implement data quality checks and validation procedures.
• Integrate data from cloud platforms and enterprise applications.
• Collaborate with analytics and business intelligence teams.
• Monitor pipeline performance and troubleshoot data processing issues.

Job description

Ethereum Technologies in the United States (Dallas, TX area) is seeking a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines and cloud data platforms. You will build reliable data integration solutions and support enterprise data warehousing initiatives.

Responsibilities include building Databricks-based workflows, Snowflake data warehouses, data ingestion/transformations, and ensuring data quality across multiple sources while collaborating with analytics and BI teams.