Data Engineer

Ethereum Technologies; Dallas (TX); On-site; USD 85,000 - 110,000; Full time

Job summary

Ethereum Technologies in Dallas, TX is seeking a data engineer to develop and maintain scalable data pipelines and ETL workflows, extracting, transforming, and loading data from multiple sources. You will write optimized SQL, work with Python processing solutions, monitor pipelines, ensure data quality, and collaborate with analysts, scientists, and engineers.

You will design and maintain data models, document processes and technical solutions, and support cloud-based data platforms and data

Qualifications

• 1-3 years of professional data engineering or related experience.
• Strong proficiency in Python and SQL.
• Experience with ETL/ELT processes and data pipelines.
• Experience working with relational databases.
• Knowledge of data modeling and database concepts.
• Familiarity with Git and software development practices.
• Bachelor's degree in CS/IT/Engineering preferred.

Responsibilities

• Develop and maintain scalable data pipelines and ETL workflows.
• Extract, transform, and load data from multiple sources.
• Write optimized SQL queries for data extraction and transformation.
• Develop data processing solutions using Python.
• Monitor data pipelines and troubleshoot data quality or processing issues.
• Work with data analysts, data scientists, software engineers, and business teams.
• Design and maintain data models and database structures.
• Implement data validation and quality checks.
• Optimize data pipelines for performance and reliability.
• Document data pipelines, processes, and technical solutions.
• Support cloud-based data platforms and data integration projects.
• Participate in Agile development and code reviews.

Skills

Python

SQL

ETL/ELT

Data pipelines

Relational databases

Data modeling

Git

Analytical thinking

Problem-solving

Education

Bachelor's degree in CS/IT/Engineering

Tools

SQL databases

Job description

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

• Develop and maintain scalable data pipelines and ETL workflows.
• Extract, transform, and load data from multiple sources.
• Write optimized SQL queries for data extraction and transformation.
• Develop data processing solutions using Python.
• Monitor data pipelines and troubleshoot data quality or processing issues.
• Work with data analysts, data scientists, software engineers, and business teams.
• Design and maintain data models and database structures.
• Implement data validation and quality checks.
• Optimize data pipelines for performance and reliability.
• Document data pipelines, processes, and technical solutions.
• Support cloud-based data platforms and data integration projects.
• Participate in Agile development and code reviews.

Required Qualifications:

• 1-3 years of professional Data Engineering or related experience.
• Strong proficiency in Python and SQL.
• Experience with ETL/ELT processes and data pipelines.
• Experience working with relational databases.
• Knowledge of data modeling and database concepts.
• Familiarity with Git and software development practices.
• Strong analytical and problem-solving skills.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field preferred.

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.