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# Senior Data Engineer

- **Company:** TECHOAUTH SOLUTIONS LLC
- **Location:** Fort Worth, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Database Queries, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Operational Databases, Cloud Services, Amazon Simple Notification Service (SNS), SQL Databases, Systems Architecture, Build Management, Information Technology, AWS Glue, Integration Frameworks, Data Management, Cloudwatch, Amazon Simple Queue Service (SQS), Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Senior-Data-Engineer-TECHOAUTH-SOLUTIONS-LLC-158120258249134/

## About the Role

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.

## Description

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


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