AWS Data Engineer at Select Minds LLC in TX-Dallas-75235 Hybrid - US
- Company: Select Minds LLC
- Location: TX-Dallas-75235 Hybrid - US
- Posted: Sep 18, 2026
- Type: Full-time
- Salary: $60.00 - $65.00 per hour
- Experience: 12+ years
Overview
Our esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key …
Job description
- Our esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key role in large-scale cloud migration initiatives.
- This role is ideal for someone passionate about building efficient, secure, and reliable data solutions, applying functional design principles, and leveraging automation to deliver business impact.
Responsibilities
- - Develop and maintain scalable ETL pipelines within the AWS ecosystem.
- - Conduct ETL testing to ensure data integrity, accuracy, and performance.
- - Lead and support large-scale cloud migration projects.
- - Use Python (primary language) along with SQL and PySpark to develop data processing and automation solutions.
- - Orchestrate data workflows using Apache Airflow (including MWAA).
- - Collaborate with cross-functional teams to design data models and implement industry-standard data security and classification methodologies.
- - Monitor, troubleshoot, and optimize pipelines for reliability and performance.
- - Document design, conduct code reviews, and apply test-driven development (TDD) practices.
- - Work in Agile environments, participating in sprint planning and daily stand-ups.
- - Ensure a smooth transition of data during cloud migrations, applying DevOps and CI/CD practices where needed
Requirements
- - 8–12 years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development.
- - 5+ years of hands-on experience with Python (primary), SQL, and PySpark, applying functional design principles and software design patterns.
- - 5+ years building and deploying ETL pipelines across on-prem, hybrid, and cloud environments, with orchestration experience using Airflow.
- - 5+ years of production-level AWS experience (MWAA, Glue/EMR (Spark), S3, ECS/EKS, IAM, Lambda).
- - Solid understanding of core statistical principles, data modeling, and data security best practices.
- - 5+ years working in Agile development with unit testing, TDD, and design documentation.
- - 2+ years of DevOps/CI-CD experience, including Terraform or other Infrastructure-as-Code (IaC) platforms.
- - Excellent problem-solving skills, with the ability to troubleshoot complex data and performance issues.
- - Strong communication skills and ability to work effectively in a hybrid model (3 days onsite in Dallas).
- Flexible work from home options available.
Skills
Required
- AWS Services
- Python
- PySpark
- Advanced SQL
- ETL testing
- Cloud migration
- Apache Airflow (including MWAA)
- Data modeling
- Data security best practices
- Agile development
- Unit testing
- TDD
Benefits
- Hybrid
- Long Term
- Opportunity for advancement
- Compensation: $60.00 - $65.00 per hour
About Select Minds LLC
We work to deliver profitability in your business – with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses. Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal. SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.