Senior Data Engineer: Scalable ETL Pipelines & AI Analytics

TECHOAUTH SOLUTIONS LLC; Fort Worth (TX); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Bonus based on performance

Tuition assistance

Job summary

A technology solutions provider is seeking a Senior Data Engineer to design and maintain scalable data pipelines that support AI-driven analytics. The role involves collaborating with engineering and analytics teams, developing efficient data models using PostgreSQL, and ensuring data quality and security. Candidates must have at least 5 years of experience in building production data pipelines, possess strong SQL skills, and be knowledgeable in Python and AWS services. The position offers a hybrid work model based in Fort Worth, TX.

Qualifications

• 5+ years of experience building production data pipelines.
• Strong SQL skills with PostgreSQL or similar databases.
• Experience with Python and data processing frameworks.

Responsibilities

• Design and build scalable ETL/ELT pipelines using Python and modern data tools.
• Develop and optimize data models using PostgreSQL.
• Write efficient SQL queries and improve data performance.
• Manage data workflows using modern orchestration tools.
• Monitor pipeline health and troubleshoot data issues.

Skills

Python

PostgreSQL

SQL

Data processing frameworks

ETL/ELT tools

AWS cloud services

GitHub

CI/CD workflows

Analytical skills

Problem-solving

Communication skills

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Dagster

Airflow

DBT

AWS Glue

Job description

A technology solutions provider is seeking a Senior Data Engineer to design and maintain scalable data pipelines that support AI-driven analytics. The role involves collaborating with engineering and analytics teams, developing efficient data models using PostgreSQL, and ensuring data quality and security. Candidates must have at least 5 years of experience in building production data pipelines, possess strong SQL skills, and be knowledgeable in Python and AWS services. The position offers a hybrid work model based in Fort Worth, TX.