Onsite Data Engineer in Dallas: Python, Spark & ETL

Qentelli LLC; Dallas (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

Qentelli LLC in Dallas, TX is seeking experienced Data Engineers to design, develop, and maintain enterprise data warehouses, pipelines, and analytics platforms on a 100% onsite basis. The role focuses on scalable, secure data architectures and collaboration with data scientists and engineers.

Ideal candidates will have strong programming and SQL skills, hands‑on ETL experience, and expertise with big data technologies such as Spark/Hadoop, plus cloud data services and data modeling for

Qualifications

• Strong understanding of data engineering principles and best practices.
• Proficiency in Python, Java, Scala, and SQL.
• Experience with Spark, Hadoop, or cloud-based data services.
• Knowledge of relational databases, data modeling, and data warehouse concepts.
• Experience developing, maintaining, and troubleshooting data pipelines.
• Understanding of scalable data architecture and data security.
• Ability to collaborate with data science and analytics teams.
• Willingness to work onsite in Dallas, TX five days a week.

Responsibilities

• Design, develop, and maintain enterprise data warehouses and advanced analytical applications.
• Apply data engineering principles, techniques, and best practices to build reliable and scalable data solutions.
• Maintain and optimize corporate data warehouses, analytical platforms, and data processing systems.
• Develop, debug, test, and optimize ETL processes and data pipelines to improve performance, scalability, and reliability.
• Design and implement data architectures that meet performance, scalability, security, and compliance requirements.
• Support advanced analytics initiatives involving machine learning, predictive modeling, and artificial intelligence.
• Collaborate with data scientists, data analysts, and cross-functional engineering teams to deliver analytics solutions.
• Implement data security measures, including encryption, access controls, and data protection mechanisms.
• Support data migration, data integration, and data transformation projects.
• Troubleshoot data processing issues and ensure data quality, consistency, and availability.

Skills

Python

Java

Scala

SQL

Big data

Apache Spark

Hadoop

Cloud platforms

Data modeling

Data warehousing

ETL/ELT

Data security

Access controls

Collaboration

Troubleshooting

Tools

N/A

Job description

Qentelli LLC in Dallas, TX is seeking experienced Data Engineers to design, develop, and maintain enterprise data warehouses, pipelines, and analytics platforms on a 100% onsite basis. The role focuses on scalable, secure data architectures and collaboration with data scientists and engineers.

Ideal candidates will have strong programming and SQL skills, hands‑on ETL experience, and expertise with big data technologies such as Spark/Hadoop, plus cloud data services and data modeling for