Data Engineer

Quantum Technologies. LLC; Dallas (TX); On-site; USD 85,000 - 125,000; Full time

Job summary

Quantum Technologies. LLC in Dallas is seeking a Data Engineer to develop and maintain scalable data pipelines, perform ETL/ELT, and optimize data processing across cloud-based platforms.

You will collaborate with data analysts, scientists, and software engineers, implement data quality checks, and document pipelines while following Agile practices.

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 Computer Science, Information Technology, Engineering, or related field 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

Git

Analytical thinking

Education

Bachelor's degree in Computer Science

Job description

• 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.