Senior Data Engineer

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

Overview

Job Title: Senior Data Engineer

Company: Techoauth Solutions LLC

Location: Fort Worth, TX (Hybrid)

Benefits

• Bonus based on performance
• Tuition assistance

Summary

Techoauth Solutions is seeking a Senior Data Engineer to design and maintain scalable data pipelines supporting AI-driven analytics and data platforms. This role will work closely with engineering and analytics teams to ensure reliable, secure, and high-performance data systems.

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 Dagster, Airflow, DBT, or AWS Glue
• Monitor pipeline health and troubleshoot data issues
• Work with AWS services such as Athena, Glue, SQS, SNS, IAM, and CloudWatch
• Maintain data quality, governance, and security standards
• Document data pipelines, workflows, and system architecture
• Collaborate with cross-functional teams and mentor junior engineers

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field
• 5+ years of experience building production data pipelines
• Strong SQL skills with PostgreSQL or similar databases
• Experience with Python and data processing frameworks
• Experience with ETL/ELT tools such as DBT, Dagster, Airflow, or AWS Glue
• Knowledge of AWS cloud services
• Experience with GitHub and CI/CD workflows
• Strong analytical, problem-solving, and communication skills

Preferred

• Experience with healthcare data or HIPAA compliance
• Experience working with AI or machine learning data platforms

Work Environment

• Hybrid work model (Fort Worth office + remote work)
• Standard business hours with occasional on-call support for data pipeline incidents
• Work remote temporarily due to COVID-19.