Senior Data Engineer

TECHOAUTH SOLUTIONS LLC
Fort Worth, TX, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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)
+15 more
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

Job 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

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.

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Good distractions

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