Senior Data Engineer

Ethereum Technologies; Irving (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Ethereum Technologies is seeking an experienced Data Engineer to design, develop, and optimize scalable data pipelines in Snowflake. You will implement data integration from multiple sources, model data for analytics, and ensure quality and governance across the data landscape.

In this role, you will collaborate with analysts and architects, optimize warehouse performance, and contribute to CI/CD and agile processes. Strong Azure/AWS experience and Python skills are preferred for this position.

Qualifications

• 7+ years of experience as a Data Engineer or in a related role.
• Strong SQL and data modeling skills with experience in warehousing concepts.
• Hands-on experience with ETL/ELT design and development.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of Python; Git, CI/CD, and Agile methodologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake.
• Build and optimize ETL/ELT pipelines and data transformations.
• Implement data integration from multiple sources into Snowflake.
• Optimize Snowflake queries, warehouses, storage, and performance.
• Develop data models for analytics, reporting, and BI.
• Ensure data quality, accuracy, security, and governance.
• Collaborate with business analysts, architects, and data teams to gather requirements.
• Troubleshoot production issues and participate in code reviews and documentation.

Skills

Data Engineering

Snowflake

SQL

Data Modeling

ETL/ELT

Cloud (AWS/Azure)

Python

Git

CI/CD

Agile

Tools

Azure Data Factory

Informatica

dbt

Snowflake

Git

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

Design, develop, and maintain scalable data pipelines using Snowflake.

Strong experience in data modeling, including dimensional modeling, star and snowflake schemas.

Develop complex SQL queries, stored procedures, and performance-optimized data transformations.

Build and maintain ETL/ELT pipelines using tools such as Informatica, Azure Data Factory, dbt, or similar.

Implement data integration from multiple source systems into Snowflake.

Optimize Snowflake queries, warehouses, storage, and overall performance.

Develop data models for analytics, reporting, and business intelligence.

Ensure data quality, accuracy, security, and governance.

Work with business analysts, architects, and data teams to understand requirements.

Troubleshoot data pipeline and production issues.

Participate in code reviews, documentation, and technical design discussions.

Required Skills:

7+ years of experience in Data Engineering.

Strong hands-on experience with Azure and Azure Data factory.

Strong SQL and Data Modeling skills.

Experience with ETL/ELT and data warehousing concepts.

Experience with cloud platforms such as AWS or Azure.

Knowledge of Python is preferred.

Experience with Git, CI/CD, and Agile methodologies.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.