AWS Data Engineer

Select Minds LLC

Dallas, TX

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JOB DETAILS

SKILLS

AWS Lambda, Agile Programming Methodologies, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache, Automation, Best Practices, Cloud Computing, Code Reviews, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Management, Data Migration, Data Modeling, Data Processing, Data Quality, Database Extract Transform and Load (ETL), Design Patterns Programming Methodologies, DevOps, Documentation, Documentation Design, Ecosystems, Electronic Medical Records, Hybrid Cloud, Identify Issues, Industry Standards, Information/Data Security (InfoSec), Problem Solving Skills, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Software Design, Software Engineering, Sprint Planning, Standup Meetings, Statistics, Technical/Engineering Design, Test Driven Development (TDD), Testing, Unit Test

LOCATION

Dallas, TX

POSTED

30+ days ago

Benefits:

Hybrid
Long Term
Opportunity for advancement

Job Title: AWS Data Engineer
Location: Dallas, TX (Hybrid – 3 days per week in-office)
Interview Process: In-Person Interview
Profiles Required: 8–12 Years of Experience
Locals & Non-Locals Can Apply

Core Skills: Strong AWS Services, Python/PySpark, Advanced SQL
Submission Details: Resume, LinkedIn URL, Work Authorization, Location Details

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.

Key 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

Qualifications
- 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.

AWS Data Engineer

Select Minds LLC

Dallas, TX

About the Company

Select Minds LLC

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